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Below is the Job Description

• 15-20 years of experience as Data Engineer / Architect working on end-to-end architecture, consulting on Cloud Platforms
• Strong experience in large scale initiatives for building world class products on Cloud and Big Data Platforms, managing and handling large data repositories, delivering distributed and highly scalable applications
• Experience in defining roadmap migration journey on to Cloud Platform covering Data Lake, Data-warehouse, Object Stores, Data Processing using Spark, Real-Time, Deep learning, AI/ML, Notebooks   etc.
• Strong DevOps skillset and working in Agile environment
• Good Customer facing, interpersonal and communication skills
• Experience in addressing non-functional requirements and large application deployment architectures with concerns such as scalability, performance, availability, reliability, enterprise security, data governance, data quality etc.
• Ability to quickly prototype, architect and build software using latest technologies around Google Cloud Platform, AWS and/or Azure
• Strong experience on following technologies - Spark, Snowflake, Redshift, Cloudera, Kafka, ETL tools

•  Candidate should have at least one or two projects delivered at Production Scale on above technology stacks.

Thanks

Harsha Awtaney

4082033108

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.

Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fuelled by great people, so join us in our partnership with AWS, Microsoft and Google and help us  build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.

Our Cloud Enablement team helps provide consultative, architectural, program and engineering support for our customers' journeys to the cloud. The word 'Enablement' was chosen carefully, to encompass the idea that we support and encourage a collaborative approach to Cloud adoption, sharing best practices, helping change the culture of teams and strategic support to ensure success.

How will you spend your days ?

• Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
• Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
• Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
• Create and maintain optimal data pipeline architecture
• Working alongside the Cloud Architect and Cloud Enablement Manager to implement Data Engineering solutions
• Collaborating with the customers data scientists and data stewards/governors during workshop sessions to uncover more detailed business requirements related to data engineering

What kind of career progression can you expect ?

• You can grow into a Cloud Data Engineer Lead or a Cloud Data Architect
• There are opportunities for relocation in our other cloudy hubs

How to stand out ?

• Experience in building scalable end-to-end data ingestion and processing solutions
• Good understanding of data infrastructure and distributed computing principles
• Proficient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink
• Good understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI
• Ability to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database
• Working knowledge of non-relational and row/columnar based relational databases
• Experience with Machine Learning toolkits
• Experience with object-oriented and/or functional programming languages, such as Python, Java and Scala
• This position requires travel up to 70% (M-F) any given week, with an average of 50% per year

What are our cloudy perks?

A M
• a
  c
  • Book Pro and iphone or google pixel (your pick!)
  • Unique cloudy culture -- we work hard and play hard
  • Uncapped holidays and your birthday off
  • World-class training and career development opportunities through our own Cloudy University
  • Centrally-located offices
  • Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday
  • Office amenities like pool tables and Xbox on the big screen TV
  • Working with a collaborative, social team, and growing your skills faster than you will anywhere else
  • Quarterly kick-off events with the opportunity to travel abroad
  • Full benefits and 401k match




If you want to learn more, check us out on Glassdoor. Not if. When will you join Cloudreach?

Big dreams often start small. From an idea in a London pub, we have grown into a global cloud enabler which operates across 7 countries and speak over 30 languages.

Our purpose at Cloudreach is to enable innovation. We do this by helping enterprise customers adopt and harness the power of cloud computing. We believe that the growth of a great business can only be fueled by great people, so join us in our partnership with AWS, Microsoft and Google and help us build one of the most disruptive companies in the cloud industry. Its not your average job, because Cloudreach is not your average company.

Mission:

The purpose of a Cloud Data Architect is to design solution that enable data scientists and analysts to gain insights into data using data-driven cloud based services and infrastructures. At Cloudreach, they will be subject matter experts and will be responsible for the stakeholder management and technical leadership for data ingestion and processing engagements. A good understanding of cloud platforms and prior experience working with big data tooling and frameworks is required.

What will you do at Cloudreach?

• Build technical solutions required for optimal ingestion, transformation, and loading of data from a wide variety of data sources using open source, AWS, Azure or GCP big data frameworks and services.
• Work with the product and software team to provide feedback surrounding data-related technical issues and support for data infrastructure needs uncovered during customer engagements / testing.
• Understand and formulate processing pipelines of large, complex data sets that meet functional / non-functional business requirements.
• Create and maintain optimal data pipeline architecture
• Working alongside Cloud Data Engineers, Cloud System Developers and Cloud Enablement Manager to implement Data Engineering solutions
• Collaborating with the customers data scientists and data stewards during workshop sessions to uncover more detailed business requirements related to data engineering
• This position requires travel up to 70% (M-F) any given week, with an average of 50% per year

What do we look for?

The Cloud Data Architect has extensive experience working with big data tools and supporting cloud services, a pragmatic mindset focused on translating functional and non-functional requirements into viable architectures, and ideally a consultancy background, leading a highly skilled team on engagements that implement complex and innovative data solutions for clients.

In addition, the Cloud Data Architect thrives in a collaborative and agile environment with an ability to learn new concepts easily.

• Technical
  skills:
Exper
• ience in building scalable end-to-end data ingestion and processing solutions Good
• understanding of data infrastructure and distributed computing principles Profi
• cient at implementing data processing workflows using Hadoop and frameworks such as Spark and Flink Good
• understanding of data governance and how regulations can impact data storage and processing solutions such as GDPR and PCI Abili
• ty to identify and select the right tools for a given problem, such as knowing when to use a relational or non-relational database Worki
• ng knowledge of non-relational and row/columnar based relational databases Exper
• ience with Machine Learning toolkits Exper
• ience with object-oriented and/or functional programming languages, such as Python, Java and Scala
• Demonstrable working experience
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Delivering production scale data engineering solutions leveraging one or more cloud services
• Confidently taking responsibility for the technical output of a project
• Ability to quickly pick up new skills and learn on the job
• Comfortably working with various stakeholders such as data scientists, architects and other developers
• Solid communication skills: You can clearly articulate the vision and confidently communicate with all stakeholder levels: Cloudreach, Customer, 3rd Parties and Partners - both verbal and written. You are able to identify core messages and act quickly and appropriately.




What are our cloudy perks?

• A MacBook Pro and smartphone.
• Unique cloudy culture -- we work hard and play hard.
• Uncapped holidays and your birthday off.
• World-class training and career development opportunities through our own Cloudy University.
• Centrally-located offices.
• Fully stocked kitchen and team cloudy lunches, taking over a restaurant or two every Friday.
• Office amenities like pool tables and Xbox on the big screen TV.
• Working with a collaborative, social team, and growing your skills faster than you will anywhere else.
• Full benefits and 401k match.
• Kick-off events at cool locations throughout the country.

Client: Large Bank/Financial Services

Work Location: 100% Remote/Telecommute (Preferred Location: Minneapolis, MN) 

Duration: 12 month contract, extendable to 24 months, and eligible for conversion to FTE.

Position Title: People Analytics Consultant

Description:

• Role requires project management and research experience.
  
• Intermediate to Expert level of experience with R strongly desired.
  
• Must be extremely comfortable with the following:   Interacting with dashboards --- Working with large datasets of structured and unstructured data ---- Data Reporting ---- Using Tableau ---- Understanding reporting requirements and structural hierarchies for reporting in a collaborative environment ---- Working independently ---- Working on multiple projects
  
• Experience with graphic and visuals for storytelling with data/data reporting for executives and senior leaders is a huge plus
  

Key things that I am looking for:

• Comfort with data- structured and unstructured
  
• Survey design experience
  
• experience with hands on deploying and managing survey/measurement related projects people/employee data analysis/modeling experience people analytics experience is a plus
  
• Data visualization /graphic design for data reporting/storytelling experience is a HUGE plus
  
• Comfort/experience with data analysis tools/programming languages such as SPSS, R, and/or Python

Desired Qualifications:

• 1+ years of experience with R (Programming Language) and RStudio
  
• 6+ years of experience in one or a combination of the following: reporting, analytics, or modeling; or a Masters Degree or higher in a quantitative field such as applied math, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis and 
• 4+ years of experience in one or a combination of the following: reporting, analytics, or modeling
  
• 2+ years of Experience with Tableau -must be comfortable building out dashboards, creating visualizations, working with complex structured and unstructured data in Tableau
  
• 2+ years creating dashboards and reporting data in a clear and structured way using tools/code such as R, SQL, Python

Healthcare is at an inflection point. Businesses are quickly evolving, and new technologies are reshaping the healthcare experience. We are R1 - a revenue cycle management company that is passionate about simplifying the patient experience, removing the paperwork hassle and demystifying financial obligations. Our success enables our healthcare clients to focus on what matters most - providing excellent clinical care.

Great people make great companies and we are looking for a great Lead Software Engineer to join our team in Murray, UT. Our approach to building software is disciplined and quality-focused with an emphasis on creativity, craftsmanship and commitment. We are looking for smart, quality-minded individuals who want to be a part of a high functioning, dynamic team. We believe in treating people fairly and your compensation should reflect that. Bring your passion for software engineering and help us disrupt ourselves as we build the next generation healthcare revenue cycle management products and platforms. Now is the right time to join R1!

We are seeking a highly experienced Lead Platform Engineer to join our team. The lead platform engineer will be responsible for building and maintaining real time, scalable, and resilient platform for product teams and developers. This role will be responsible for performing and supervising design, development and implementation of platform services, tools and frameworks. You will work with other software architects, software engineers, quality engineers, and other team members to design and build platform services. You will also provide technical mentorship to software engineers/developers and related groups.      

Responsibilities:

• Be responsible for designing and developing software solutions with engineering mindset
• Ensures SOLID principles and standard design patterns are applied across the organization to system architectures and implementations
• Acts as a technical subject matter expert: helping fellow engineers, demonstrating technical expertise and engage in solving problems
• Collaborate with stakeholders to help set and document technical standards
• Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing.
• Participate in and/or lead technical development design sessions to formulate technical designs that minimize maintenance, maximize code reuse and minimize testing time

Required Qualifications:

• 8+ years experience in building scalable, highly available, distributed solutions and services
• 4+ experience in middleware technologies: Enterprise Service Bus (ESB), Message Queuing (MQ), Routing, Service Orchestration, Integration, Security, API Management, Gateways
• Significant experience in RESTful API architectures, specifications and implementations
• Working knowledge of progressive development processes like scrum, XP, Kanban, TDD, BDD and continuous delivery using Jenkins
• Significant experience working with most of the following technologies/languages: Java, C#, SQL, Python, Ruby, PowerShell, .NET/Core, WebAPI, Web Sockets, Swagger, JSON, REST, GIT
• Hand-on experience in micro-services architecture, Kubernetes, Docker
• Familiarity with Middleware platform Software AG WebMethods is a plus
• Concept understanding on Cloud platforms, BIG Data, Machine Learning is a major plus
• Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 and HIPAA is a major plus

Desired Qualifications:

• Strong sense of ownership and accountability for delivering well designed, high quality enterprise software on schedule
• Prolific learner, willing to refactor your understanding of emerging patterns, practices and processes as much as you refactor your code
• Ability to articulate and illustrate software complexities to others (both technical and non-technical audiences)
• Friendly attitude and available to mentor others, communicating what you know in an encouraging and humble way
• Continuous Learner

Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions.  Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

Our associates are given valuable opportunities to contribute, to innovative and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package.  To learn more, visit: r1rcm.com

Healthcare is at an inflection point. Businesses are quickly evolving and new technologies are reshaping the healthcare experience. We are R1 a revenue cycle management company that is passionate about simplifying the patient experience, removing the paperwork hassle and demystifying financial obligations. Our success enables our healthcare clients to focus on what matters most providing excellent clinical care.  

Great people make great companies and we are looking for a great Application Architect to join our team Murray, UT. Our approach to building software is disciplined and quality-focused with an emphasis on creativity, craftsmanship and commitment. We are looking for smart, quality-minded individuals who want to be a part of a high functioning, dynamic team. We believe in treating people fairly and your compensation should reflect that. Bring your passion for software engineering and help us disrupt ourselves as we build the next generation healthcare revenue cycle management products and platforms. Now is the right time to join R1!  

R1 is a leading provider of technology-enabled revenue cycle management services which transform and solve challenges across health systems, hospitals and physician practices. Headquartered in Chicago, R1 is publicly-traded organization with employees throughout the US and international locations.

Our mission is to be the one trusted partner to manage revenue, so providers and patients can focus on what matters most. Our priority is to always do what is best for our clients, patients and each other. With our proven and scalable operating model, we complement a healthcare organizations infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.

As an Application Architect you apply your problem solving, critical thinking and creative design to architect and build software products that achieve technical, business and customer experience goals.

Responsibilities:

• Plans software architecture through the whole technology stack from customer facing features, to algorithmic innovation, down through APIs and datasets.
• Ensures that software patterns and SOLID principles are applied across the organization to system architectures and implementations.
• Works with product management, business stakeholders and architecture leadership to understand software requirements and helps shape, estimate and plan product roadmaps.
• Plans and implements proof of concept prototypes.
• Directly contributes to the test-driven development of product features and functionality, identifying risks and authoring integration tests.
• Manages and organizes build steps, continuous integration systems and staging environments.
• Mentors other members of the development team.
• Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing.

Required Qualifications:

8+ ye
• ars experience programming enterprise web products with Visual Studio, C# and the .NET Framework. Robus
• t knowledge in software architecture principles including message and service busses, object-oriented programming, continuous integration / continuous delivery, SOLID principles, SaaS, microservices, master data management (MDM) and a deep understanding of design patterns and domain-driven design (DDD). Signi
• ficant experience working with most the following technologies/languages: C#, .NET/Core, WCF, Entity Framework, UML, LINQ, JavaScript, Angular, Vue.js, HTML, CSS, Lucene, REST, WebApi, XML, TSQL, NoSQL, MS SQL Server, ElasticSearch, MongoDB, Node.js, Jenkins, Docker, Kubernetes, NUnit, NuGet, SpecFlow, GIT. Worki
• ng knowledge of progressive development processes like scrum, XP, kanban, TDD, BDD and continuous delivery. Stron
• g sense of ownership and accountability for delivering well designed, high quality enterprise software on schedule. Proli
• fic learner, willing to refactor your understanding of emerging patterns, practices and processes as much as you refactor your code. Abili
• ty to articulate and illustrate software complexities to others (both technical and non-technical audiences). Frien
• dly attitude and available to mentor others, communicating what you know in an encouraging and humble way.
• Experience working with globally distributed teams.
• Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 or HIPAA is a major plus.

Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions.  Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

Our associates are given valuable opportunities to contribute, to innovative and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package.  To learn more, visit: r1rcm.com

Job description:
As a Big Data Engineer, you will have the opportunity to make a significant impact, both to our organization and those of our Fortune 500 clients. You will work directly with clients at the intersection of business and technology. You will leverage your experience with Hadoop and software engineering to help our clients use insights gleaned from their data to drive Value.

You will also be given substantial opportunities to develop and expand your technical skillset with emerging Big Data technologies so you can continually innovate, learn, and hit the gas pedal on your career.



Responsibilities (but not limited to):
Implementation of various solutions arising out of the large data processing (GBs/ PBs) over various NoSQL, Hadoop, and MPP-based products
Active participation in the various Architecture and design calls with Big Data customers
Working with Sr. Architects and providing implementation details to offshore
Responsible for timely and quality deliveries
Practical understanding of Hadoop, Hive and spark.

1+ years of spark experience.

Experience: 6 to 12 Years

Desired Skills and Experience:
Spark, Hadoop, Java

Summary

FPC of Three Rivers is happy to present Senior Data Scientist role in the healthcare industry. You will be part of a team working to build next gen data analytics / Machine Learning empowered products.    

Day to Day

• As part of a team of data scientists, software developers, and architects; engage business users to understand and solve complex problems using data analytics and insights.
• Prototype / develop new Artificial Intelligence / Machine Learning based products, as well as enhancements/upgrades to existing products all of which provide business value.
• Maintain a passion for innovation, specifically at the nexus of abstract mathematics, analytics, and computer science.
• Be a multiplier, increasing group expertise through exploration of emerging domains, toolsets, and methodologies.

Required Qualifications

• Masters degree in statistics, analytics, mathematics, machine learning or related field.
• 4+ years of experience using Machine Learning and/or Artificial Intelligence to solve tangible business problems within an established organization.
• Demonstrated success in translating unstructured business problems into analytical models.
• Experience with a subset of the following tools / libraries: Python, R, Jupyter, Zeppelin, SparkML, H20, and/or TensorFlow.
• Experience with cloud computing environments.

Preferred Qualifications

• Experience with healthcare data analytics.
• Experience with healthcare industry processes, trends, and standards.

Business Analyst

Dallas, TX

Full time, direct hire position

Seeking a bright, motivated individual with a unique, wide range of skills and the ability to process large data sets while communicating findings clearly and concisely.

Responsibilities

• Analyze data from a myriad of sources and generate valuable insights
• Interface with our sales team and clients to discuss issues related to data availability and customer targeting
• Execute marketing list processing for mail, email and integrated multi-channel campaigns
• Assist in development of tools to optimize and automate internal systems and processes
• Assist in conceptualization and maintenance of business intelligence tools

Requirements

• Bachelors degree in math, economics, statistics or related quantitative field
• An ability to deal and thrive with imperfect, mixed, varied and inconsistent data from multiple sources
• Must possess rigorous analytical disciplined approach, as well as dynamic, abstract problem solving skills (get to the answer via both inspiration and perspiration)
• Proven ability to work in a fast-paced environment and to meet changing deadlines / priorities on multiple simultaneous projects
• Extensive experience writing queries for large, complex data sets in SQL (MySQL, PostgreSQL, Oracle, other SQL/RDBMS)
• Highly proficient with Excel (or an alternate spreadsheet application like OpenOffice Calc) including macros, pivot tables, vlookups, charts and graphs
• Solid knowledge of statistics and able to perform analysis in R SAS or SPSS proficiently
• Strong interpersonal skills as a team leader and team player
• Self-learning attitude, constantly pushing towards new opportunities, approaches, ideas and perspectives
• Bonus points for experience with high-level, dynamically compiled programming languages: Python, Ruby, Perl, Lisp or PHP

  **No VISA Sponsorship available

Sogeti is a leading provider of technology and engineering services. Sogeti delivers solutions that enable digital transformation and offers cutting-edge expertise in Cloud, Cybersecurity, Digital Manufacturing, Quality Assurance & Testing, and emerging technologies. Sogeti combines agility and speed of implementation with strong technology supplier partnerships, world class methodologies and its global delivery model, Rightshore®. Sogeti brings together more than 25,000 professionals in 15 countries, based in over 100 locations in Europe, USA and India. Sogeti is a wholly-owned subsidiary of Capgemini SE, listed on the Paris Stock Exchange. For more information please visit www.sogeti.com.

REQUIRED:

- 3-5 years of solid experience with developing back-end services with Python

- Development experience on a Unix-like system
- Experience with developing highly scalable RESTful APIs
- Expert in asynchronous programming

- Expert understanding of Python Core concepts, including both functional and class-based design, and new language features up to Python 3.5.
- Knowledge of Python ORM libraries 
- Strong understanding of relational database concepts and SQL writing skills, proven experience working with major relational database platforms such as SQL Server, Oracle, and PostgreSQL

NICE TO HAVE:

- Experience with socket programming

- Professional experience using Python 3+ 

Data Scientist
Dallas, TX
Investment Bank
Compensation: $160,000-$190,000

(Unlimited PTO, Remote Work Options, Daily Catered Lunches)

Do you enjoy solving challenging puzzles? Protecting critical networks from cyber-attacks? Our Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. We are is leading threat, risk analysis and data science initiatives that are helping to protect the firm and our clients from information and cyber security risks. Our team equips the firm with the knowledge and tools to measure risk, identify and mitigate threats and protect against unauthorized disclosure of confidential information for our clients, internal business functions, and our extended supply chain.

You will be responsible for:
Designing and integrating state-of-the-art technical solutions? A position as a Security Analyst on our Threat Management Center
Applying statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, and risk management.
Creating innovative methodologies for extracting key parameters from big data coming from various sensors.
Utilize machine learning, statistical data analytics, and predictive analytics to help implement analytics tied to cyber security and hunting methodologies and applications
Designing, developing, testing, and delivering complex analytics in a range of programming environments on large data sets

Minimum Qualifications:
6+ years industry experience focused on Data Science
Hands-on experience in Cyber Security Analytics
Proficient coding capability in at least one of the major programming languages such as Python, R, Java
Proficient in data analysis, model building and data mining
Solid foundation in natural language processing and machine learning
Significant experience with deep learning

Preferred Qualifications
Strong interpersonal, communication and communication skills
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
Experience with knowledge management best practices
Penchant to learn about new technology innovation and creativity in applying to business problems

Python Developer - Front Office, Investment Banking

About MThree Consulting

Since 2010, MThree Consulting has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organisations worldwide.

Core Services

• Consulting and Advisory
• Managed Services
• Alumni Graduate Programme
• Alumni Pro Programme

We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas.

Our Alumni Graduate programme is an internationally recognised 2 year non-rotational pathway that has successfully shaped the careers of hundreds of Graduates worldwide. Our Alumni Pro programme is designed for Consultants who have either typically completed the Alumni scheme and dont convert to our clients, or outside industry professionals who want to move sector or role. 

Python Developer

Role within Treasury Markets to model building, testing and implementation of front office trading and external model developers.

• Devising an appropriate modelling approach
• Justifying the final modelling choices made, highlighting possible issues both in normal and stressed market conditions;
• Identifying and collect appropriate data
• Developing the required models;
• Undertaking tests and analysis to confirm the appropriateness of the models as a whole

What are the skills, knowledge and experience needed to do the role?

• The role holder will have a degree in a STEM (Science, Technology, Engineering and Mathematics) subject
• Ability to understand scripting in Python
• Keen interest in Financial Markets 
• The role holder should be able to demonstrate critical thinking and advanced problem solving skills.
• Personal skills and impact expected
• Qualifications/professional standards required

Diversity and Inclusion

Through our diversity initiatives, we create a more representative workforce and enable our clients to achieve their own diversity goals. Our view is that diverse teams realise greater levels of success by creating a culture of inclusion, sparking a variety of viewpoints and offering career progression to a more diverse group of people. To support this statement, we are encouraging underrepresented groups to choose careers in Technology through Summer Internships and open events as part of our Diversity Network.

Python Developer - Front Office, Investment Banking

BlueGranite is looking for a Data & Analytics Staff Consultant to join our team of data architects, engineers, analysts, and data scientists. 

We're looking for individuals with full-time work experience in a professional, project-based setting. Candidates should have experience with data and analytics solutions and workloads, which may include processing and combining data from disparate sources, collecting data from internal systems and preparing it for analysis, or building data visualizations to make the analytical results available to business users and decision makers.

Our consultants work side-by-side with other team members on client projects involving modern platforms and technologies such as SQL Server, Azure data services, Spark, Python, and Power BI.

This full-time position is for individuals who enjoy a hands-on, development role on client-facing project teams with up to 25% travel on an annual basis, plus the potential for regular travel to our Kalamazoo, Michigan area office for the first couple of months for training and onboarding (as needed).

At a minimum, were looking for:

• Experience processing and combining data from disparate sources such as relational databases, spreadsheets, delimited files, flat files or various user created documents
• Strong skills and experience with Microsoft SQL Server, Azure, and/or Power BI for data warehousing, data lakes, reporting, and analytics solutions
• Strong interest in building solutions for analytics and data manipulation with languages and tools including Spark, Python, R, SQL, or Hadoop
• Knowledge of database languages, concepts, and environments
• Passion for both business and technology
• Curiosity about data and the ability to translate data-driven insights into decisions and actions
• Self-starter, self-managed, quick learner, problem-solver with a positive, collaborative, and team-based attitude
• Excellent communication skills, ability to engage with other project team members and clients
• Degree in information technology, computer science, business, statistics, mathematics, or engineering
• Ability to travel on average of 25% per year, plus the potential for regular travel to our Kalamazoo, Michigan area office for the first couple of months
• Authorization to work in the U.S., without the requirement for an employment visa

Although not required of applicants, these are sought-after abilities:

• Demonstration of thought leadership, community volunteering, recognition or awards
• Professional work experience with SQL, Hadoop, Python, Spark, or R for data and analytics
• Experience with the development of data warehouse and business intelligence solutions
• Ability to implement on-premises or cloud-based data ingestion (ETL vs ELT) solutions
• Aptitude and experience with SQL queries for analytics and data manipulation

Your primary responsibilities would include:

• Developing and supporting data and analytics solutions using Microsoft SQL, Power BI, and Azure as part of BlueGranite's project delivery teams
• Creating informative and interactive data visualizations/models
• Writing relational and multidimensional database queries, flows and movements
• Obtaining and maintaining technical certifications in these core areas of expertise

BlueGranite is the driving force of data innovation for our customers. We are strategic trusted advisers who use our aptitude and experience to deliver value to our clients. We invest in our team to become better at who we are and what we do. Our core strategy is to lead with offers for data, insights, and analytics that deliver business value on the Microsoft platform.

This position is for U.S. based applicants located in the following states: Michigan, Indiana, Illinois, Ohio, Minnesota, Texas, Florida, Georgia, North Carolina, South Carolina, New York, Massachusetts, or New Hampshire. We are not able to provide sponsorship for student or other employment work visas at this time.

The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed.

TITLE:  Data Scientist

Years of Experience: 7+
Education Required: Bachelors Degree or Equivalent Work Experience

Interview Details:
- Phone Interview
- Face to Face Mandatory - Video Call is not an option

Purpose:
Looking for a Data Scientist who will support operations and data architecture teams with insights gained from analyzing company data. You must be that person who can create value out of data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Such a person proactively fetches information from various sources and analyzes it for better understanding about how the business performs. Additionally, they can utilize AI tools to automate certain processes
 
This person must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. This Data Scientist must possess the skill-sets necessary to hit the ground running and must be willing to learn about the mobile phone business while solving problems quickly and efficiently.
 
See Yourself:

• Working with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Four-year degree in a related Computer Science, Math or Statistical field of study.
• 7+ continuous years' of professional experience as a Data Scientist.
• Strong problem solving skills with an emphasis on product development.
• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• A drive to learn and master new technologies and techniques.
• Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
• SUPERB communication skills with an emphasis on writing and interpreting abilities
• Excellent presentation skills. Must have the ability to confirm complex data into digestible formats for non-technical business teams.

• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience using web services: Redshift, S3, Spark, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience analyzing data from 3rd party providers.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders.

SUMMARY

The successful candidate for this Data Analyst position will be responsible for day-to-day reporting of mobile app voice capability function. This is a business line support function that will provide reporting of voice adoption and performance metrics used in communication plans with development and data science groups for targeting enhancements. The successful candidate should be able to provide and communicate reporting findings to peers and senior stakeholders.

RESPONSIBILITIES

This position's job functions will include:

- Reporting/KPIs: Agile reporting dashboards, Capex and Epic and tactical performance measurement.

- Raw data requests: active customers and customers by age, duration, income, etc.

- Adoption/Engagement: user metric tracking, engagement frequency, volume measurement, segmentation reporting and geo-location reporting.

- Digital voice funnel insights: success rates, processing and response timing and engagement and fallout.

- A/B testing: front-end test design with technical partners and test performance measurement (quality tacking, e.g., fall out, success rates, usage rates and response time, and conversion (tracking to goal).

- Satisfaction tracking: CSAT, sentiment and leading satisfaction indicator identification.

- Visualization: self-service dashboard development and proven ability to develop in Excel and Tableau.

This position will help drive and contribute to the overall team success measures and goals related to:

- KPI Metrics (LOB Dashboards)

- Descriptive Statistics

 -Raw Data Requests

- CapEx Planning / Forecasting

- Benchmarking

- Funnel Analysis

- Forecasting (Plan)

- Optimization (Operational)

REQUIRED

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

- 6+ years of statistics or analytics experience.

- Bachelor's degree in a quantitative field such as econometrics, computer science, engineering or applied mathematics, or equivalent work experience.

PREFERRED

- Working knowledge of analytics and statistical software such as SQL, R, Python, Excel, Hadoop, SAS, SPSS and others to perform analysis and interpret data.

- Mastery of Microsoft Excel.

- Experience in report development, automation, and visualization.

- Strong reporting skills with the ability to extract, collect, organize, and interpret trends or patterns in complex data sets.

- Basic understanding of data science capabilities and language.

- Demonstrated project management skills.

- Demonstrated leadership and pro-activity skills.

- Effective interpersonal, verbal and written communication skills.

- Considerable knowledge of assigned business line or functional area.

- Working knowledge of customer self-service technology capabilities.

• Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
• Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
• Build Senior stakeholder relationships
• Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
• Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
• Develop industry relevant data analytics solutions for enterprise business functions
• Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
• Collaborate with partners (software vendors) to build joint industry solutions
• Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
• Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
• Evaluate alliance technologies for potential go-to-market partnerships.
• Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
• Coach and mentor both senior and junior members across OGs and IDC.
• Develop practical solutions, methodologies, solution patterns and point-of-view documents.
• Manage and grow Data, Data on Cloud pipeline
• Participate in industry events to project Accentures thought leadership
  

• Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
• Leads and supports client sales pursuits.
• Collaborates with highly talented resource pool and helps lead the Community of Data practice.
• Key participant in setting strategic direction to establish near term goals for area of responsibility.
• Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
• Has latitude in decision-making and determining objectives and approaches to critical assignments .
• Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
Mana
• ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

Basic Qualifications

• 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
• 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
• 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
• Must be able to travel 100% (Mon-Thurs)
• Bachelors degree or 12 years professional experience
• 5 years of experience developing solutions utilizing:
  
  • Kafka based streaming services
  • R Studio
  • RDS, S3, glacier
  • MapReduce, Pig, Hive
  • Scala, Spark
    
Preferred Qualifications

• Experience as a consulting manager in a top-tier consulting firm preferred
• Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
• Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
• Experience with delivering Big Data Solutions in the cloud with AWS
• Ability to configure and support API and Opensource integrations
• Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
• Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
• Experience with DevOps support
• Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
  
Professional Skill Requirements

• Proven success in contributing to a team-oriented environment
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Ability to work with senior client executives
  
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.

• Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
• Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
• Build Senior stakeholder relationships
• Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
• Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
• Develop industry relevant data analytics solutions for enterprise business functions
• Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
• Collaborate with partners (software vendors) to build joint industry solutions
• Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
• Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
• Evaluate alliance technologies for potential go-to-market partnerships.
• Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
• Coach and mentor both senior and junior members across OGs and IDC.
• Develop practical solutions, methodologies, solution patterns and point-of-view documents.
• Manage and grow Data, Data on Cloud pipeline
• Participate in industry events to project Accentures thought leadership
  

• Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
• Leads and supports client sales pursuits.
• Collaborates with highly talented resource pool and helps lead the Community of Data practice.
• Key participant in setting strategic direction to establish near term goals for area of responsibility.
• Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
• Has latitude in decision-making and determining objectives and approaches to critical assignments .
• Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
Mana
• ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

Basic Qualifications

• 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
• 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
• 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
• Must be able to travel 100% (Mon-Thurs)
• Bachelors degree or 12 years professional experience
• 5 years of experience developing solutions utilizing:
  
  • Kafka based streaming services
  • R Studio
  • RDS, S3, glacier
  • MapReduce, Pig, Hive
  • Scala, Spark
    
Preferred Qualifications

• Experience as a consulting manager in a top-tier consulting firm preferred
• Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
• Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
• Experience with delivering Big Data Solutions in the cloud with AWS
• Ability to configure and support API and Opensource integrations
• Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
• Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
• Experience with DevOps support
• Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
  
Professional Skill Requirements

• Proven success in contributing to a team-oriented environment
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Ability to work with senior client executives
  
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.

• Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
• Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
• Build Senior stakeholder relationships
• Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
• Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
• Develop industry relevant data analytics solutions for enterprise business functions
• Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
• Collaborate with partners (software vendors) to build joint industry solutions
• Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
• Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
• Evaluate alliance technologies for potential go-to-market partnerships.
• Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
• Coach and mentor both senior and junior members across OGs and IDC.
• Develop practical solutions, methodologies, solution patterns and point-of-view documents.
• Manage and grow Data, Data on Cloud pipeline
• Participate in industry events to project Accentures thought leadership
  

• Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
• Leads and supports client sales pursuits.
• Collaborates with highly talented resource pool and helps lead the Community of Data practice.
• Key participant in setting strategic direction to establish near term goals for area of responsibility.
• Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
• Has latitude in decision-making and determining objectives and approaches to critical assignments .
• Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
Mana
• ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

Basic Qualifications

• 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
• 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
• 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
• Must be able to travel 100% (Mon-Thurs)
• Bachelors degree or 12 years professional experience
• 5 years of experience developing solutions utilizing:
  
  • Kafka based streaming services
  • R Studio
  • RDS, S3, glacier
  • MapReduce, Pig, Hive
  • Scala, Spark
    
Preferred Qualifications

• Experience as a consulting manager in a top-tier consulting firm preferred
• Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
• Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
• Experience with delivering Big Data Solutions in the cloud with AWS
• Ability to configure and support API and Opensource integrations
• Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
• Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
• Experience with DevOps support
• Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
  
Professional Skill Requirements

• Proven success in contributing to a team-oriented environment
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Ability to work with senior client executives
  
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.

• Act as a technical and solution expert in the areas of Big Data Management, Data on Cloud, AWS Data Services AI / Machine learning capabilities in Data Platforms
• Advise clients on Data on Cloud adoption & journey leveraging Nextgen Information platforms on Cloud, Cloud data architecture patterns, platform selection.
• Build Senior stakeholder relationships
• Build personal brand within Accenture and drive thought leadership through participation in Business Development efforts, client meetings and workshops, speaking in industry conferences, publishing white papers, etc.
• Partner with Client teams and clients in helping them in Data Monetization initiatives - making business sense of structured, semi-structured, unstructured and streaming data, to develop new business strategies, customer engagement models, manage product portfolios, and optimize enterprise assets
• Develop industry relevant data analytics solutions for enterprise business functions
• Collaborate with GoTo market teams in generating demand and pipeline for data analytics solutions
• Collaborate with partners (software vendors) to build joint industry solutions
• Serve as data supply chain expert for the vision and integration of emerging data technologies on cloud, anticipation of new trends and resolution of complex business and technical problems.
• Lead the discussions and early analysis of the data-on-cloud concepts as it relates to Accentures Data supply chain service offerings, so that clear use cases are developed and prioritized as well as transitioning these concepts from ideas to working prototypes with the full support of the appropriate teams who will develop the new offerings.
• Evaluate alliance technologies for potential go-to-market partnerships.
• Lead the development of offering proofs-of-concept and effectively transition those concepts to the lines of business for full architecture, engineering, deployment and commercialization.
• Coach and mentor both senior and junior members across OGs and IDC.
• Develop practical solutions, methodologies, solution patterns and point-of-view documents.
• Manage and grow Data, Data on Cloud pipeline
• Participate in industry events to project Accentures thought leadership
  

• Evaluates emerging technologies, shapes Accentures point of view, defines new architecture patterns and standards, and leads proof of concepts of innovative solutions.
• Leads and supports client sales pursuits.
• Collaborates with highly talented resource pool and helps lead the Community of Data practice.
• Key participant in setting strategic direction to establish near term goals for area of responsibility.
• Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
• Has latitude in decision-making and determining objectives and approaches to critical assignments .
• Decisions have a lasting impact on area of responsibility with impact outside area of responsibility.
Mana
• ges large teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.

Basic Qualifications

• 5 years of hands-on experience with public cloud platforms like AWS, MS Azure and GCP
• 12 plus years of experience in multiple disciplines, such as solution or technical architecture, Data Management, Cloud architecture, or Big Data
• 5 years of experience with a combination of AWS Cloud Platform, S3, glacier, AWS data Services, Redshift, Redshift Spectrum,Lambda functions, Apache Spark, Kafka, and Python.
• Must be able to travel 100% (Mon-Thurs)
• Bachelors degree or 12 years professional experience
• 5 years of experience developing solutions utilizing:
  
  • Kafka based streaming services
  • R Studio
  • RDS, S3, glacier
  • MapReduce, Pig, Hive
  • Scala, Spark
    
Preferred Qualifications

• Experience as a consulting manager in a top-tier consulting firm preferred
• Ten or more years of experience dealing with complex business/technical architectures and complex client delivery.
• Working knowledge in Big Data tools like MongoDb, Cassandra, Hadoop, NOSQL, Apache Hadoop, Spark, Hive
• Experience with delivering Big Data Solutions in the cloud with AWS
• Ability to configure and support API and Opensource integrations
• Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
• Over 5 years of experience in sales / pre-sales functions, leading pursuits, proposal development, effort estimations, statement of work
• Experience with DevOps support
• Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
  
Professional Skill Requirements

• Proven success in contributing to a team-oriented environment
• Proven ability to work creatively and analytically in a problem-solving environment
• Desire to work in an information systems environment
• Excellent communication (written and oral) and interpersonal skills
• Ability to work with senior client executives
  
Our consulting professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.

• MS or PhD Degree in Computer Science, Software Engineering or a related field
• Strong experience with classification and regression algorithms
• Strong experience in machine learning techniques (unsupervised, supervised, reinforcement, demonstration) and optimization algorithms
• Strong coding skills Python and/or C++ in Linux environment
• Extensive experience converting publications to actual implementations

• 2+ years experience (industry experience preferred)
• Experience in deep neural network packages (e.g. TensorFlow, Theano)
• Experience designing and developing robotic systems using a robotic middleware (such as ROS), and existing libraries and tools
• Track record of research excellence or/and experience converting publications to actual implementations
• Experience with continuous integration, deployment and release management tools
• Experience with Agile and Scrum methodology
• Proven system integration and software architecture skills
• Experience launching products containing machine learning algorithms