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Arcadis is seeking a Director of Advanced Analytics to join our North America Digital Team.

The Director of Advanced Analytics (North America) is responsible for the development and implementation of a strategy centered around elevating our current analytics capabilities, identifying use cases within our current business, and identifying new business opportunities anchored around analytics. Together with the core/extended Arcadis Digital team(s) he/she will drive digital change within the organization which includes frequently interacting with Arcadians at all levels from the executive leadership, project managers, and entry level employees in addition to clients by providing technical expertise, guidance, and hands-on support on data processing, analytical models, and visualization techniques.

Key Responsibilities:

Develop capabilities in analytics phases
 

• Evaluate our existing analytics capabilities and develop a strategy for Analytics in North America, that will create value for our employees, clients, and partners.
• Develop Arcadiss capabilities in descriptive, predictive, and prescriptive analytics
• Leading the development of required analytics skills in North America - by a combination of recruiting and training
• Train our colleagues valuable technical skills on-the-job, which can include data processing, coding models in R, Python, BaysiaLab, etc, creating powerful visualizations and interfaces (e.g. using RShiny or Tableau), and developing the data infrastructure needed

Analytics as a value add to projects
 

• Advise in the implementation of analytics and data life cycle on projects/programs
• Capture the resulting insights from the data life cycle
• Communicate the value of using analytics instead of the traditional way of working
• Identify where analytics can be used as a differentiator
• Scope out analytics services and develop monetization strategies
• Develop powerful use cases, in close collaboration with market leaders and external partners

Advise clients on their analytics journey
 

• Advising clients on data governance/management
• Identify new business opportunities with existing and potential clients
• Participation in design thinking/client visioning workshops

Evangelist/Leader for analytics
 

• Empower our colleagues to implement analytics on their projects
• Communicate complex ideas in a simple way using story telling
• Inspire our colleagues to innovate and adopt of analytics

Develop strategy for analytics on overall business/bring in best practices in analytics
 

• Integrate yourself within the existing business to evaluate where analytics can be strategically be implemented.
• Collaborate closely with / support the Chief Digital Officer, North America with taking the lead and providing technical expertise within Analytics
• Collaborate closely with / support the Global CDO / Analytics team by supporting the development of a global Analytics roadmap and data strategy
• Participating in regular exchanges with other digital / analytics leaders in other regions

Leadership Requirements
 

• Proven leadership capabilities
• Ability to work cross-functionally with all levels of management, both internally and externally.
• Ability to inspire clients and potential partners with new ideas and discipline combined with pragmatism to implement them rapidly;
• Ability to develop a plan and approach to strategic problems - communicating and mobilizing teams to deliver against the plan;
• The ideal candidate: Talented, passionate and high energy leader with a blend of technology/digital savviness and built & natural asset industry knowledge.

Key Requirements
 

• Deep knowledge and expertise in analytics, including expert knowledge of the common software applications, such as R, Python or database management tools, such as SQL or MongoDB.
• Complete understanding of cloud technologies
• Complete understand of data lake implementation and other data governance practices
• Knowledge of design thinking and client visioning workshops
• Experience in agile project management and product development

Key Attributes
 

• Knowledge of best practices in analytics across the industry
• Broad and strategic perspective on the current and future global technology landscape
• Credible counterpart for existing or potential partners with strong business acumen combined with solid technical skills;
• Self-starter, high energy, can work independently and remotely and comfortable with ambiguity;
• Communication and relationship skills, ability to engage with a broad range of international stakeholders;
• Ability to work in a global matrix organization and to deal with different cultures worldwide;
• Proactive, practical, entrepreneurial, open-minded, flexible and creative;
• Excellent command of English, both spoken and written.
• Given the international spread of the business a certain level of flexibility in working hours is important.
• 7+ years of professional experience with an impressive track record in Analytics and bringing data-driven initiatives to success, ideally at the intersection of natural & built assets and analytics/digital

Required Qualifications

• Masters Degree (preferably in Business Analytics, Data Science or Computer Science) preferred.
• 10+ years of professional experience with an impressive track record in Analytics

Preferred Qualifications

• MA/MS/MBA degree from a top-tier university / research institution

Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every single day. Today, creative ideas, insight and new points of view are at the core of how we craft a more powerful, personal and fulfilling experience for all our customers. So if youre passionate about a career building breakthrough software and making an impact on an audience of millions, look no further.

There are hundreds of chances for you to make your mark on Technology and life at American Express. Heres just some of what youll be doing:

• Take your place as a core member of an Agile team driving the latest application development practices.
• Find your opportunity to execute new technologies, write code and perform unit tests, as well as working with data science, algorithms and automation processing
• Engage your collaborative spirit by Collaborate with fellow engineers to craft and deliver recommendations to Finance, Business, and Technical users on Finance Data Management. 

Qualifications:

Are you up for the challenge?

• 4+ years of Software Development experience.
• BS or MS Degree in Computer Science, Computer Engineering, or other Technical discipline including practical experience effectively interpreting Technical and Business objectives and challenges and designing solutions.
• Ability to effectively collaborate with Finance SMEs and partners of all levels to understand their business processes and take overall ownership of Analysis, Design, Estimation and Delivery of technical solutions for Finance business requirements and roadmaps, including a deep understanding of Finance and other LOB products and processes. Experience with regulatory reporting frameworks, is preferred.
• Hands-on expertise with application design and software development across multiple platforms, languages, and tools: Java, Hadoop, Python, Streaming, Flink, Spark, HIVE, MapReduce, Unix, NoSQL and SQL Databases is preferred.
• Working SQL knowledge and experience working with relational databases, query authoring (SQL), including working familiarity with a variety of databases(DB2, Oracle, SQL Server, Teradata, MySQL, HBASE, Couchbase, MemSQL).
• Experience in architecting, designing, and building customer dashboards with data visualization tools such as Tableau using accelerator database Jethro.
• Extensive experience in application, integration, system and regression testing, including demonstration of automation and other CI/CD efforts.
• Experience with version control softwares like git, svn and CI/CD testing/automation experience.
• Proficient with Scaled Agile application development methods.
• Deals well with ambiguous/under-defined problems; Ability to think abstractly.
• Willingness to learn new technologies and exploit them to their optimal potential, including substantiated ability to innovate and take pride in quickly deploying working software.
• Ability to enable business capabilities through innovation is a plus.
• Ability to get results with an emphasis on reducing time to insights and increased efficiency in delivering new Finance product capabilities into the hands of Finance constituents.
• Focuses on the Customer and Client with effective consultative skills across a multi-functional environment.
• Ability to communicate effectively verbally and in writing, including effective presentation skills. Strong analytical skills, problem identification and resolution.
• Delivering business value using creative and effective approaches
• Possesses strong business knowledge about the Finance organization, including industry standard methodologies.
• Demonstrates a strategic/enterprise viewpoint and business insights with the ability to identify and resolve key business impediments.

Employment eligibility to work with American Express in the U.S. is required as the company will not pursue visa sponsorship for these positions.

Medical Economics & Informatics Analyst

SUMMARY

This position is responsible for supporting business analysis, utilization analysis, performance results monitoring, reports development, and analytical support within the Medical Economics and Informatics Department.

MAJOR RESPONSIBILITIES

Extract, manage, and analyze operational, claims and performance data to identify trends, patterns, insights, and outliers within data.

Translates transactional data into client ready deliverables using visualization tools available, such as Tableau.

Drives a repeatable analytic process, and consistently deliver best-in-class reporting to multiple business stakeholders.

Studies client specific data at multiple geographical and clinical levels to identify utilization and cost trends and provide recommendations and insights.

Contributes in analyzing and developing reports on client specific utilization trends, program savings and performance to be shared with internal Client Services team.

Provides analytical and technical support for development and QA of Client Level Dashboards and other recurrent reporting.

Collaborates on design/development/automatization of Standard Client Reporting Package, including dashboards.

Contributes on data deliverables & takeaways for Quarterly Business Review meetings.

Responsible for ad-hoc Client and Markets requests for mature programs.

Collaborates on processes to integrate new client data (claims/membership) and perform quality control tests.

QUALIFICATIONS & REQUIREMENTS

·         Bachelor Degree or higher in Healthcare Informatics, Health Care Statistics, Public Health Economics, Epidemiology, Mathematics, Computer Science/IT, related field or equivalent experience.

·         3+ years experience in the Healthcare Industry and/or Managed Care Organizations

·         Experience in analytics/informatics and report development is required

·         Experience using Medical Claims data (medical cost, utilization, cost benefit analysis, etc.) is required

·         Experience with Pharmacy claims data and healthcare records is preferred

·         1+ years experience with analytics in data warehouse environment

·         Experience using SQL for report writing and data management

      Direct experience in business intelligence applications, advanced data visualization tools and/or statistical analysis software (such as: SQL/MySQL/R, SAS, Tableau, Minitab, Matlab, Crystal Reports, Business Objects Desktop (Web based) Intelligence, etc.)

      Intermediate to advanced skills with Microsoft Office tools (MS Word, Excel, PowerPoint, Visio, Project) necessary to document, track and present information related to company program/products/clients

      Knowledge of healthcare financial business cycle, healthcare quality reporting and analysis, benchmarking is required

      Knowledge of health system functions, terminology and standard ICD-10 and CPT coding systems is highly desirable

      Excellent critical and analytical thinking skills are highly desirable

      Ability to compile information and prepare reports that are easily translatable for client delivery

Job Title: Tableau Engineer

Duration: 6-12 Months+ (potential to go perm)

Location: Atlanta, GA (30328) - Onsite

Notes from Manager:

We need a data analyst who knows Tableau, scripting (JSON, Python), Altreyx API, AWS, Analytics.

Description

The Tableau Software engineer will be a key resource to work across our Software Engineering BI/Analytics stack to ensure stability, scalability, and the delivery of valuable BI & Analytics solutions for our leadership teams and business partners. Keys to this position are the ability to excel in identification of problems or analytic gaps and mapping and implementing pragmatic solutions. An excellent blend of analytical, technical and communication skills in a team based environment are essential for this role.

Tools we use: Tableau, Business Objects, AngularJS, OBIEE, Cognos, AWS, Opinion Lab, JavaScript, Python, Jaspersoft, Alteryx and R packages, Spark, Kafka, Scala, Oracle

Your Role:

·         Able to design, build, maintain & deploy complex reports in Tableau

·         Experience integrating Tableau into another application or native platforms is a plus

·         Expertise in Data Visualization including effective communication, appropriate chart types, and best practices.

·         Knowledge of best practices and experience optimizing Tableau for performance.

·         Experience reverse engineering and revising Tableau Workbooks created by other developers.

·         Understand basic statistical routines (mean, percentiles, significance, correlations) with ability to apply in data analysis

·         Able to turn ideas into creative & statistically sound decision support solutions

Education and Experience:

·         Bachelors degree in Computer Science or equivalent work experience

·         3-5 Years of hands on experience in data warehousing & BI technologies (Tableau/OBIEE/Business Objects/Cognos)

·         Three or more years of experience in developing reports in Tableau

·         Have good understanding of Tableau architecture, design, development and end user experience.

What We Look For:

·         Very proficient in working with large Databases in Oracle & Big Data technologies will be a plus.

·         Deep understanding & working experience of data warehouse and data mart concepts.

·         Understanding of Alteryx and R packages is a plus

·         Experience designing and implementing high volume data processing pipelines, using tools such as Spark and Kafka.

·         Experience with Scala, Java or Python and a working knowledge of AWS technologies such as GLUE, EMR, Kinesis and Redshift preferred.

·         Excellent knowledge with Amazon AWS technologies, with a focus on highly scalable cloud-native architectural patterns, especially EMR, Kinesis, and Redshift

·         Experience with software development tools and build systems such as Jenkins

The position

Your profile

• PhD or Master degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field


• 5+ years of experience in Statistical Modelling, Anomaly Detection, Machine Learning algorithms both Supervised and Unsupervised


• Proven experience in applying data science methods to business problems


• Ability to explain complex analytical concepts to people from other fields


• Proficiency in at least one of the following: Python, R, Java/Scala, SQL and/or SAS


• Knowledgeable with BigData technologies and architectures (e.g. Hadoop, Spark, stream processing)


• Expertise in text mining and natural language processing is a strong plus


• Familiarity with network analysis and/or graph databases is a plus


• High integrity, responsibility and confidentiality a requirement for dealing with sensitive data


• Strong presentation and communication skills


• Experience in leading teams and mentoring others


• Good planning and organisational skills


• Collaborative mindset to sharing ideas and finding solutions


• Experience in the financial industry is a strong plus


• Fluent in English; German, Italian and French a plus

Professional requirements

• Use machine learning tools and statistical techniques to produce solutions for customer demands and complex problems


• Participate in pre-sales and pre-project analysis to develop prototypes and proof-of-concepts


• Analyse customer behaviour and needs enabling customer-centric product development


• Liaise and coordinate with internal infrastructure and architecture team regarding setting up and running a BigData & Analytics platform


• Strengthen data science within Avaloq and establish a data science centre of expertise


• Look for opportunities to use insights/datasets/code/models across other functions in Avaloq

• Minimum of 3 plus years of hands-on technical experience implementing Big Data solutions utilizing Hadoop or other Data Science and Analytics platforms.
• Minimum of 3 plus years of experience with a full life cycle development from functional design to deployment
• Minimum 2 plus years of hands-on technical experience with delivering Big Data Solutions in the cloud with AWS or Azure
• Minimum 3 plus years of hands-on technical experience in developing solutions utilizing at least two of the following:

• Kafka based streaming services
• R Studio
• Cassandra , MongoDB
• MapReduce, Pig, Hive
• Scala, Spark
• knowledge on Jenkins, Chef, Puppet

• Bachelor's degree or equivalent years of work experience

• Ability to travel 100%, Monday- Thursday
  

• Proven ability to build, manage and foster 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
• Excellent leadership and management skills
  

We're already working with some of the largest real estate lenders and investors across the globe, and we believe that our AVM will truly disrupt the commercial real estate industry.  Using your machine learning and analytical skills, you will contribute to the development of GeoPhy's core information products. This includes working on the development of our flagship product, the Automated Valuation Model (AVM) that we've developed for the commercial real estate market.

What you'll be responsible for

• Developing and maintaining predictive valuation algorithms for the commercial real estate market, based on stochastic modeling


• Identifying and analyzing new data sources to improve model accuracy, closely working with our data sourcing teams


• Conducting statistical analysis to identify patterns and insights, and process and feature engineer data as needed to support model development and business products


• Bringing models to production, in collaboration with the development and data engineering teams 


• Supporting data sourcing strategy and the validation of related infrastructure and technology


• Contributing to the development of methods in data data science, including: statistical analysis and model development related to real estate, economics, the built environment, or financial markets

What we're looking for

• Creative and intellectually curious with hands-on experience as a data scientist


• Flexible, resourceful, and a reliable team player


• Rigorous analyst, critical thinker, and problem solver with experience in hypothesis testing and experimental design


• Excellent at communicating, including technical documentation and presenting work across a variety of audiences


• Experienced working with disparate data sources and the engineering and statistical challenges that presents, particularly with time series, socio-economic-demographic (SED) data, and/or geo-spatial data


• Strong at data exploration and visualization


• Experienced implementing predictive models across a full suite of statistical learning algorithms (regression/classification, unsupervised/semi-supervised/supervised)


• Proficient in Python or R as well as critical scientific and numeric programming packages and tools


• Intermediate knowledge of SQL


• Full working proficiency in English


• An MSc/PhD degree in Computer Science, Mathematics, Statistics or a related subject, or commensurate technical experience

Bonus points for

• International mind set


• Experience in an Agile organization


• Knowledge or experience with global real estate or financial markets


• Experience with complex data and computing architectures, including cloud services and distributed computing


• Direct experience implementing models in production or delivering a data product to market

What’s in it for you?

• You will have the opportunity to accelerate our rapidly growing organisation.


• We're a lean team, so your impact will be felt immediately.


• Personal learning budget.


• Agile working environment with flexible working hours and location.


• No annual leave allowance; take time off whenever you need.


• We embrace diversity and foster inclusion. This means we have a zero-tolerance policy towards discrimination,


• GeoPhy is a family and pet friendly company.


• Get involved in board games, books, and lego.

Pros and cons

• Youre going to be working as a true Data Scientist. One who understands why you get the results that you do and apply this information to other experiments.
• Youre able to use the right tools for every job.
• Your job starts with a problem and ends with you monitoring your own solution.
• You have to crawl underneath the foosball table when you lose a game.

Description Data Scientist

Your specifications

• You have at least 4 years of experience in a similar function.
• You have a university degree, MSC, or PHD in Mathematics, Computer Science, or Statistics.
• You have experience with Machine Learning techniques, such as Gradient Boosting, Random Forest, and Neutral Networks, and you have proven experience with successfully applying these (or similar) techniques in a business environment.
• You have some experience with Data mining, SQL, BigQuery, NoSQL, R, and monitoring.
• You're highly knowledgeable about Python.
• You have experience with Big Data technologies, such as Spark and Hadoop.

Included by default.

• Money.
• Travel allowance and a retirement plan.
• 25 leave days. As long as you promise to come back.
• A discount on all our products.
• A picture-perfect office at a great location. You could crawl to work from Rotterdam Central Station. Though we recommend just walking for 2 minutes.
• A horizontal organisation in the broadest sense. You could just go and have a beer with the boss.

Review

• Work with customers to enable the latest data analytics capabilities
• Understand and help implement the latest innovations available within ConocoPhillips preferred analytics platform including Spotfire, Statistica, ArcGIS Big Data (Spatial Analytics), Teradata and Python
• Help users with the implementation of analytics workflows through integration of the analytics applications
• Manage analytics solutions roadmap and implementation timeline enabling geoscience customers to take advantage of the latest features or new functionality
• Communicate with vendors and COP community on analytics technology functionality upgrades, prioritized enhancements and adoption
• Test and verify that existing analytics workflows are supported within the latest version of the technology
• Guide users on how to enhance their current workflows with the latest analytics technology
• Facilitate problem solving with analytics solutions
• Work with other AICOE teams to validate and implement new technology or version upgrades into production
  

Provi
• de architectural guidance for building integrated analytical solutions Under
• stands analytics product roadmaps, product development and the implementation of new featuresPromo
• tes new analytics product features within customer base and demonstrates how it enables analytics workflowsManag
• e COP analytics product adoption roadmapCaptu
• re product enhancement list and coordinate prioritization with the vendorTest
• new capabilities and map them to COP business workflowsCoord
• inate with the AICOE team the timely upgrades of the new features Provi
• des support to CDS for:
• analytics modelling best practices
• know how implementation of analytics workflows based on new technology
• Liaise with the AICOE Infrastructure team for timely technology upgrades
• Work on day to day end user support activities for Citizen Data Science tools; Advanced Spotfire, Statistica, GIS Big Data
• Provides technical consulting and guidance to Citizen Data Scientist for the design and development of complex analytics workflows
• Communicates analytics technology roadmap to end users
• Communicates and demonstrates the value of new features to COP business
• Train and mentor Citizen Data Science on analytics solutions
  

• Legally authorized to work in the United States
• Bachelor's degree in Information Technology, Computer Sciences, Geoscience, Engineering, Statistics or related field
• 5+ years of experience in oil & gas and geoscience data and workflows
• 3+ years of experience with Tibco Spotfire
• 3+ years of experience Teradata or using SQL databases
• 1+ years of experience with ArcGIS spatial analytics tools
• Advanced knowledge and experience of Integration platform
  

• Masters degree in Analytics or related field
• 1+ years of experience with Tibco Statistica or equivalent statistics-based analytics package
• Prior experience in implementing and supporting visual, prescriptive and predictive analytics
• In-depth understanding of the analytics applications and integration points
• Experience implementing data science workflows in Oil & Gas
• Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right
• Delivers results through realistic planning to accomplish goals
• Generates effective solutions based on available information and makes timely decisions that are safe and ethical
  

• Complete end to end delivery of data analytics solutions to the end user
• Interacting closely with both business and developers while gathering requirements, designing, testing, implementing and supporting solutions
• Gather business and technical specifications to support analytic, report and database development
• Collect, analyze and translate user requirements into effective solutions
• Build report and analytic prototypes based on initial business requirements
• Provide status on the issues and progress of key business projects
• Providing regular reporting on the performance of data analytics solutions
• Delivering regular updates and maintenance on data analytics solutions
• Championing the data analytics solutions and technologies at ConocoPhillips
• Integrate data for data models used by the customers
• Deliver Data Visualizations used for data driven decision making
• Provide strategic technology direction while supporting the needs of the business
  

• Legally authorized to work in the United States
• 5+ years of related IT experience
• 5+ year of Structure Querying Language experience (ANSI SQL, T-SQL, PL/SQL)
• 3+ years hands-on experience delivering solutions with an Analytics Tools i.e. (Spotfire, SSRS, Power BI, Tableau, Business Objects)
  

• Bachelor's Degree in Information Technology or Computer Science
• 5+ years of Oil and Gas Industry experience
• 5+ years hands-on experience delivering solutions with Informatica PowerCenter
• 5+ years architecting data warehouses and/or data lakes
• 5+ years with Extract Transform and Load (ETL) tools and best practices
• 3+ years hands-on experience delivering solutions with Teradata
• 1+ years developing analytics models with R or Python
• 1+ years developing visualizations using R or Python
• Experience with Oracle (11g, 12c) and SQL Server (2008 R2, 2010, 2016) and Teradata 15.x
• Experience with Hadoop technologies (Hortonworks, Cloudera, SQOOP, Flume, etc.)
• Experience with AWS technologies (S3, SageMaker, Athena, EMR, Redshift, Glue, etc.)
• Thorough understanding of BI/DW concepts, proficient in SQL, and data modeling
• Familiarity with ETL tools (Informatica, etc.) and ETL processes
• Solutions oriented individual; learn quickly, understand complex problems, and apply useful solutions
• Ability to work in a fast-paced environment independently with the customer
• Ability to work as a team player
• Ability to work with business and technology users to define and gather reporting and analytics requirements
• Strong analytical, troubleshooting, and problem-solving skills experience in analyzing and understanding business/technology system architectures, databases, and client applications to recognize, isolate, and resolve problems
• Demonstrates the desire and ability to learn and utilize new technologies in data analytics solutions
• Strong communication and presentation skills
• Takes ownership of actions and follows through on commitments by courageously dealing with important problems, holding others accountable, and standing up for what is right
• Delivers results through realistic planning to accomplish goals
• Generates effective solutions based on available information and makes timely decisions that are safe and ethical
  

• Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
• Demonstrate an understanding of technology and digital frameworks in the context of data integration.
• Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
  

• Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
• Understands the strategic direction set by senior management as it relates to team goals.
• Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
• Primary upward interaction is with direct supervisor.
• May interact with peers, client counterparts and/or management levels within Accenture.
• Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
• May interact with peers and/or management levels at a client and/or within Accenture.
• Determines methods and procedures on new assignments with guidance .
• Decisions often impact the team in which they reside.
• Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
  

• Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
Expe
• rience developing solutions utilizing at least two of the following: Kaf
  
  k
  • a based streaming services
  • R Studio
  • Cassandra, MongoDB
  • MapReduce, Pig, Hive
  • Scala, Spark
  • Knowledge on Jenkins, Chef, Puppet
    

• Hands-on technical experience utilizing Python
• Full life cycle development experience
• Experience with delivering Big Data Solutions in the cloud with AWS or Azure
• Ability to configure and support API and OpenSource integrations
• Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
• Experience with DevOps support
• Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
  

• Produce clean, standards based, modern code with an emphasis on advocacy toward end-users to produce high quality software designs that are well-documented.
• Demonstrate an understanding of technology and digital frameworks in the context of data integration.
• Ensure code and design quality through the execution of test plans and assist in development of standards, methodology and repeatable processes, working closely with internal and external design, business, and technical counterparts.
  

• Utilizes existing methods and procedures to create designs within the proposed solution to solve business problems.
• Understands the strategic direction set by senior management as it relates to team goals.
• Contributes to design of solution, executes development of design, and seeks guidance on complex technical challenges where necessary.
• Primary upward interaction is with direct supervisor.
• May interact with peers, client counterparts and/or management levels within Accenture.
• Understands methods and procedures on new assignments and executes deliverables with guidance as needed.
• May interact with peers and/or management levels at a client and/or within Accenture.
• Determines methods and procedures on new assignments with guidance .
• Decisions often impact the team in which they reside.
• Manages small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture.
  

• Minimum 2 plus years of hands-on technical experience implementing or supporting Big Data solutions utilizing Hadoop.
Expe
• rience developing solutions utilizing at least two of the following: Kaf
  
  k
  • a based streaming services
  • R Studio
  • Cassandra, MongoDB
  • MapReduce, Pig, Hive
  • Scala, Spark
  • Knowledge on Jenkins, Chef, Puppet
    

• Hands-on technical experience utilizing Python
• Full life cycle development experience
• Experience with delivering Big Data Solutions in the cloud with AWS or Azure
• Ability to configure and support API and OpenSource integrations
• Experience administering Hadoop or other Data Science and Analytics platforms using the technologies above
• Experience with DevOps support
• Designing ingestion, low latency, visualization clusters to sustain data loads and meet business and IT expectations
  

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

Perfo
• rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
• tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
• with IT teams to support data collection, integration, and retention requirements based on business need Ident
• ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
• es work efforts which require the use of sophisticated project planning techniques Appli
• es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
• ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
• ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
• Collaborates with business subject matter experts to select relevant sources of information
• Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
• Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
• Develop expertise with State Farm datasets, data repositories, and data movement processes
• Assists on projects/requests and may lead specific tasks within the project scope
• Prepares and manipulates data for use in development of statistical models
• Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making

Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.

Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.

Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus

Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ

Remote work option is not available.

There is no sponsorship for an employment visa for the position at this time.

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

Perfo
• rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
• tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
• with IT teams to support data collection, integration, and retention requirements based on business need Ident
• ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
• es work efforts which require the use of sophisticated project planning techniques Appli
• es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
• ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
• ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
• Collaborates with business subject matter experts to select relevant sources of information
• Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
• Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
• Develop expertise with State Farm datasets, data repositories, and data movement processes
• Assists on projects/requests and may lead specific tasks within the project scope
• Prepares and manipulates data for use in development of statistical models
• Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making

Additional Details:

WHAT ARE THE DUTIES AND RESPONSIBILITIES OF THIS POSITION?

Perfo
• rms improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making Inves
• tigates, recommends, and initiates acquisition of new data resources from internal and external sources Works
• with IT teams to support data collection, integration, and retention requirements based on business need Ident
• ifies critical and emerging technologies that will support and extend quantitative analytic capabilities Manag
• es work efforts which require the use of sophisticated project planning techniques Appli
• es a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems Devel
• ops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities Contr
• ibutes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
• Collaborates with business subject matter experts to select relevant sources of information
• Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
• Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation
• Develop expertise with State Farm datasets, data repositories, and data movement processes
• Assists on projects/requests and may lead specific tasks within the project scope
• Prepares and manipulates data for use in development of statistical models
• Develops fundamental understanding of insurance and financial services operations and uses this knowledge in decision making

Additional Details:

For over 95 years, data has been key to State Farm.  As a member of our data science team with the Enterprise Data & Analytics department under our Chief Data & Analytics Officer, you will work across the organization to solve business problems and help achieve business strategies.  You will employ sophisticated, statistical approaches and state of the art technology.  You will build and refine our tools/techniques and engage w/internal stakeholders across the organization to improve our products & services.

Implementing solutions is critical for success. You will do problem identification, solution proposal & presentation to a wide variety of management & technical audiences. This challenging career requires you to work on multiple concurrent projects in a community setting, developing yourself and others, and advancing data science both at State Farm and externally.

Skills & Professional Experience

·        Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies

·        Masters, other advanced degrees, or five years experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.

·        Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK

·        Experience with unstructured data sets: text analytics, image recognition etc.

·        Experience working w/numerous large data sets/data warehouses & ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems

·        Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.

·        Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses & leadership levels.

·        Exercise sound judgment to diagnose & resolve problems within area of expertise

·        Familiarity with CI/CD development methods, Git and Docker a plus

Multiple location opportunity. Locations offered are: Atlanta, GA, Bloomington, IL, Dallas, TX and Phoenix, AZ

Remote work option is not available.

There is no sponsorship for an employment visa for the position at this time.

Overview of Position:

We undertaking an ambitious digital transformation across Sales, Service, Marketing, and eCommerce. We are looking for a web data analytics wizard with prior experience in digital data preparation, discovery, and predictive analytics.

The data scientist/web analyst will work with external partners, digital business partners, enterprise analytics, and technology team to strategically plan and develop datasets, measure web analytics, and execute on predictive and prescriptive use cases. The role demands the ability to (1) Learn quickly (2) Work in a fast-paced, team-driven environment (3) Manage multiple efforts simultaneously (4) Adept at using large datasets and using models to test effectiveness of different courses of action (5) Promote data driven decision making throughout the organization (6) Define and measure success of capabilities we provide the organization.

Primary Duties and Responsibilities

Analy
• ze data captured through Google Analytics and develop meaningful actionable insights on digital behavior. Put t
• ogether a customer 360 data frame by connecting CRM Sales, Service, Marketing cloud data with Commerce Web behavior data and wrangle the data into a usable form. Use p
• redictive modelling to increase and optimize customer experiences across online & offline channels. Evalu
• ate customer experience and conversions to provide insights & tactical recommendations for web optimization
• Execute on digital predictive use cases and collaborate with enterprise analytics team to ensure use of best tools and methodologies.
• Lead support for enterprise voice of customer feedback analytics.
• Enhance and maintain digital data library and definitions.

Minimum Qualifications

• Bachelors degree in Statistics, Computer Science, Marketing, Engineering or equivalent
• 3 years or more of working experience in building predictive models.
• Experience in Google Analytics or similar web behavior tracking tools is required.
• Experience in R is a must with working knowledge of connecting to multiple data sources such as amazon redshift, salesforce, google analytics, etc.
• Working knowledge in machine learning algorithms such as Random Forest, K-means, Apriori, Support Vector machine, etc.
• Experience in A/B testing or multivariate testing.
• Experience in media tracking tags and pixels, UTM, and custom tracking methods.
• Microsoft Office Excel & PPT (advanced).

Preferred Qualifications

• Masters degree in statistics or equivalent.
• Google Analytics 360 experience/certification.
• SQL workbench, Postgres.
• Alteryx experience is a plus.
• Tableau experience is a plus.
• Experience in HTML, JavaScript.
• Experience in SAP analytics cloud or SAP desktop predictive tool is a plus

Business Analyst  

Dallas, TX

Apex Clearing was brought to life by the idea that the development of integrative technology can improve how business is done. The passion for that idea powers our firm still. As a Business Analyst at Apex you are free to explore unique solutions and try fresh ideas that may benefit our financial services business. Youll collaborate with Apex's sharpest minds to use data to drive business decision making. Working at Apex Clearing means that youll always be presented with a variety of new possibilities as you continue to enhance your skills.

Were looking for someone who:

• Is passionate. You have a genuine passion for data, modeling and analysis to drive decision making across all levels of the business. You love using technology differently to maximize insight and business impact and you have a way of bringing out that same fire in the people you work with
• Is motivated. Youre driven to be the best whether thats decreasing onboarding time or making an innovative change to how its always been done. You challenge yourself by setting goals and exceeding them
• Is collaborative. Youre excited to work with fellow data junkies and big thinkers. You know how to collaborate across the organization and communicate with less technical team members to find a solution to pain points
• Wants to make an impact. Youre looking to do amazing work. Youre all about using technology to improve efficiency and effect the company's bottom line.

What youll do all day:

• Defining and analyzing data that will generate insights and help support our core business
• Building state of the art models
• Acting as a thought leader for the firm with your ideas and projects enabling data driven decision making
• Helping to define best practices within our analytics team to increase efficiency and thus create even more business impact.
• Collaborating with Analytics team members and people across the business to get the best out of the collective team

A few reasons why you might love us:

• Were a leader in the space.   Apex is recognized for disrupting the financial services industry, enabling fintech standouts like Stash, Robinhood and Betterment. Weve got an amazing track record of success and we foster ongoing innovation. So you get all the benefits of a proven, growing company, while enjoying a very entrepreneurial culture
• We see data analytics differently. Youll work with people who apply innovative approaches to analysis and modeling. We are passionate engineers dedicated to finding new and different ways to use technology and data to drive the business forward.
• Your work will have immediate impact. Youll be able to see your direct impact on our business. You wont be just another talented analyst chained to a desk or ticket queue.

And a few reasons why you may not like working for us:

• You dont like change. This is not a job for someone who likes predictable. We embrace and drive the business toward needed change for our future success.
• Youre not the collaborative type. We work together to ensure the best possible solutions for the business. We think two brains are better than one so we do most of our work together and often with other departments. Team work makes the dream work on this team.
• Youre not a people person. We work with people across the organization to understand the data from a business perspective and ensure our results will be actionable by Apex.

The skills youll need to succeed:  

• 2-4 years working as a Business Analyst, Quantitative Analyst or comparable experience
• Experience with MS Excel
• Experience with SQL and Python or R
• Experience with relational databases
• Experience with statistical analysis techniques
• Familiarity with Sisense, Tableau or similar Data visualization tools

Position Overview:

Signify Health is looking for a savvy Data Engineer to join our growing team of deep learning specialists. This position would be responsible for evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross-functional teams. The Data Engineer will support software developers, database architects, data analysts, and data scientists. The ideal candidate would be self-directed, passionate about optimizing data, and comfortable supporting the Data Wrangling needs of multiple teams, systems and products.

If you enjoy providing expert level IT technical services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools while working closely with IT team members, data scientists, and data engineers to build our next generation of AI-driven solutions, we will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork, and you will find yourself working together with other talented, passionate and dedicated team member, all working towards a shared goal.

Essential Job Responsibilities:

• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data models for greater scalability, etc.
• Leverage Azure for extraction, transformation, and loading of data from a wide variety of data sources in support of AI/ML Initiatives
• Design and implement high performance data pipelines for distributed systems and data analytics for deep learning teams
• Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows
• Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
• Communicate results and ideas to key decision makers in a concise manner
• Comply with applicable legal requirements, standards, policies and procedures including, but not limited to the Compliance requirements and HIPAA.

• High school diploma or equivalent.
• Bachelors degree in Computer Science, Electrical Engineer, Statistics, Informatics, Information Systems, or another quantitative field. or related field or equivalent work experience.

• 5+ years of experience in a Data Engineer role.
• Experience using the following software/tools preferred:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with AWS or Azure cloud services.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
• Strong work ethic, able to work both collaboratively, and independently without a lot of direct supervision, and solid problem-solving skills
• Must have strong communication skills (written and verbal), and possess good one-on-one interpersonal skills.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• 2 years of experience in data modeling, ETL development, and Data warehousing

Essential Skills:

• Fluently speak, read, and write English
• Fantastic motivator and leader of teams with a demonstrated track record of mentoring and developing staff members
• Strong point of view on who to hire and why
• Passion for solving complex system and data challenges and desire to thrive in a constantly innovating and changing environment
• Excellent interpersonal skills, including teamwork and negotiation
• Excellent leadership skills
• Superior analytical abilities, problem solving skills, technical judgment, risk assessment abilities and negotiation skills
• Proven ability to prioritize and multi-task
• Advanced skills in MS Office

Essential Values:

• In Leadership Do whats right, even if its tough
• In Collaboration Leverage our collective genius, be a team
• In Transparency Be real
• In Accountability Recognize that if it is to be, its up to me
• In Passion Show commitment in heart and mind
• In Advocacy Earn trust and business
• In Quality Ensure what we do, we do well

• Fast-paced environment
• Requires working at a desk and use of a telephone and computer
• Normal sight and hearing ability
• Use office equipment and machinery effectively
• Ability to ambulate to various parts of the building
• Ability to bend, stoop
• Work effectively with frequent interruptions
• May require occasional overtime to meet project deadlines
• Lifting requirements of

Position Overview:

Responsibilities & Qualifications:

• 3-5 years of professional experience, masters degree a plus
• Expertise in data modelling, visualization, and databases
• Proficiency with statistical packages (e.g. SAS and R), database languages (e.g. SQL Server, MySQL, Oracle Express), and media measurement tools (e.g. DoubleClick, Omniture, Google Analytics)
Datab
• • ase design and implementation Machi
  • ne learning Time
  • series and forecasting Data
  • mining Linea
  • r and logistic regression Decis
  • ion trees Segme
  • ntation analysis Clust
  • ering techniques Marke
  • ting mix models Data
  • visualization techniques

• Market research and competitive analysis aimed at driving growth
• Comprehensive data analysis and manipulation to help identify trends
• Strong interpersonal and communication skills

Restaurant Brands International US Services LLC (RBI) is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status.

We are seeking a junior-mid level Data Science Engineer to analyze large amounts of raw data from different sources to extract valuable business insights to aid in better business decision-making. Analytical mind, problem-solving skills and passion for machine-learning and research are critical for this role. You will be part of a highly passionate development team that is in the process of refining our Data Science toolkit that includes a wide set of predictive, recommendation, and inference modeling for our AI product — ranging from time-series forecasting, sentiment analysis, custom object-detection, to named-entity recognition, text summarization, and geometric deep learning.

Responsibilities

• Identify valuable data sources and automate collection processes


• Preprocessing of structured and unstructured data


• Discover trends and patterns in large amounts of data


• Build predictive models and machine-learning algorithms


• Present information using data visualization techniques


• Propose solutions and strategies to business challenges


• Collaborate with engineering and product development teams

Requirements

• Strong fundamentals in training, evaluating, and benchmarking machine learning models


• Strong in Python Numpy, Pandas, keras (tensorflow or pytorch is a plus)


• Familiar with Feature selection, Feature Extraction (especially for deep learning is a plus++)


• Familiarity of common Hyper-optimization Techniques with different AI models.


• Experience handling large data sets


• Familiarity with BI tools (e.g. Tableau) and data frameworks (e.g. Hadoop)


• Strong math skills (e.g. statistics, algebra)


• Problem-solving aptitude


• Excellent communication and presentation skills


• 3 to 5 years of experience in the above is preferred

Comcast's Technology & Product organization works at the intersection of media and technology. Our innovative teams are continually developing and delivering products that transform the customer experience. From creating apps like TVGo to new features such as the Talking Guide on the X1 platform, we work every day to make a positive impact through innovation in the pursuit of building amazing products that are enjoyable, easy to use and accessible across all platforms. The team also develops and supports our evolving network architecture, including next-generation consumer systems and technologies, infrastructure and engineering, network integration and management tools, and technical standards.

Job Summary:

Software engineering skills combined with the demands of a high volume, highly-visible analytics platform make this an exciting challenge for the right candidate.

Are you passionate about digital media, entertainment, and software services? Do you like big challenges and working within a highly motivated team environment?

As a software engineer in the Data Experience (DX) team, you will research, develop, support, and deploy solutions in real-time distributing computing architectures. The DX big data team is a fast-moving team of world-class experts who are innovating in providing user-driven, self-service tools for making sense and making decisions with high volumes of data. We are a team that thrives on big challenges, results, quality, and agility.

Who does the data engineer work with?

Big Data software engineering is a diverse collection of professionals who work with a variety of teams ranging from other software engineering teams whose software integrates with analytics services, service delivery engineers who provide support for our product, testers, operational stakeholders with all manner of information needs, and executives who rely on big data for data backed decisioning.

What are some interesting problems you'll be working on?

Develop systems capable of processing millions of events per second and multi-billions of events per day, providing both a real-time and historical view into the operation of our wide-array of systems. Design collection and enrichment system components for quality, timeliness, scale and reliability. Work on high-performance real-time data stores and a massive historical data store using best-of-breed and industry-leading technology.

Where can you make an impact?

Comcast DX is building the core components needed to drive the next generation of data platforms and data processing capability. Running this infrastructure, identifying trouble spots, and optimizing the overall user experience is a challenge that can only be met with a robust big data architecture capable of providing insights that would otherwise be drowned in an ocean of data.

Success in this role is best enabled by a broad mix of skills and interests ranging from traditional distributed systems software engineering prowess to the multidisciplinary field of data science.

Responsibilities:

• Develop solutions to big data problems utilizing common tools found in the ecosystem.
• Develop solutions to real-time and offline event collecting from various systems.
• Develop, maintain, and perform analysis within a real-time architecture supporting large amounts of data from various sources.
• Analyze massive amounts of data and help drive prototype ideas for new tools and products.
• Design, build and support APIs and services that are exposed to other internal teams
• Employ rigorous continuous delivery practices managed under an agile software development approach
• Ensure a quality transition to production and solid production operation of the software

Skills & Requirements:

• 5+ years programming experience
• Bachelors or Masters in Computer Science, Statistics or related discipline
• Experience in software development of large-scale distributed systems including proven track record of delivering backend systems that participate in a complex ecosystem.
• Experience working on big data platforms in the cloud or on traditional Hadoop platforms
• AWS Core
• Kinesis
• IAM
• S3/Glacier
• Glue
• DynamoDB
• SQS
• Step Functions
• Lambda
• API Gateway
• Cognito
• EMR
• RDS/Auora
• CloudFormation
• CloudWatch
• Languages
• Python
• Scala/Java
• Spark
• Batch, Streaming, ML
• Performance tuning at scale
• Hadoop
• Hive
• HiveQL
• YARN
• Pig
• Scoop
• Ranger
• Real-time Streaming
• Kafka
• Kinesis
• Data File Formats:
• Avro, Parquet, JSON, ORC, CSV, XML
• NoSQL / SQL
• Microservice development
• RESTful API development
• CI/CD pipelines
• Jenkins / GoCD
• AWS
  • CodeCommit
  • CodeBuild
  • CodeDeploy
  • CodePipeline
• Containers
• Docker / Kubernetes
• AWS
  • Lambda
  • Fargate
  • EKS
• Analytics
• Presto / Athena
• QuickSight
• Tableau
• Test-driven development/test automation, continuous integration, and deployment automation
• Enjoy working with data data analysis, data quality, reporting, and visualization
• Good communicator, able to analyze and clearly articulate complex issues and technologies understandably and engagingly.
• Great design and problem solving skills, with a strong bias for architecting at scale.
• Adaptable, proactive and willing to take ownership.
• Keen attention to detail and high level of commitment.
• Good understanding in any: advanced mathematics, statistics, and probability.
• Experience working in agile/iterative development and delivery environments. Comfort in working in such an environment. Requirements change quickly and our team needs to constantly adapt to moving targets.

About Comcast DX (Data Experience):

Data Experience(DX) is a results-driven, data platform research and engineering team responsible for the delivery of multi-tenant data infrastructure and platforms necessary to support our data-driven culture and organization. The mission of DX is to gather, organize, make sense of Comcast data, and make it universally accessible to empower, enable, and transform Comcast into an insight-driven organization. Members of the DX team define and leverage industry best practices, work on extremely large-scale data problems, design and develop resilient and highly robust distributed data organizing and processing systems and pipelines as well as research, engineer, and apply data science and machine intelligence disciplines

Comcast is an EOE/Veterans/Disabled/LGBT employer