Citizens Advice
  • London, UK
  • Salary: £40k - 45k

As a Database engineer in the DevOps team here at Citizens Advice you will help us develop and implement our data strategy. You will have the opportunity to work with both core database technologies and big data solutions.


Starting from scratch, we have built a deep tech-stack with AWS services at its core. We created a new CRM system, migrated a huge amount of data to AWS Aurora PG and used AWS RDS to run some of our business critical databases.

You will have gained a solid background and in-depth knowledge of AWS RDS, SQL/Admin against DBMS's such as PostgreSql / MySQL / SQL Server, Dynamo / Aurora. You will have dealt with Data Warehousing, ETL, DB Mirroring/Replication, and DB Security Mechanisms & Techniques.


We use AWS RDS including Aurora as the standard DB implementation for our applications. We parse data in S3 using Spark jobs and we are planning to implement a data lake solution in AWS.

Our tools and technologies include:

  • Postgres on AWS RDS

  • SQL Server for our Data Warehouse

  • Liquibase for managing the DW schema

  • Jenkins 2 for task automation

  • Spark / Parquet / AWS Glue for parsing raw data

  • Docker / docker-compose for local testing

You will be developing, supporting and maintaining automation tools to drive database, reporting and maintenance tasks.

As part of our internal engineering platform offering, R&D time will give you the opportunity to develop POC solutions to integrate with the rest of the business.


You will seek continuous improvement and implement solutions to help Citizens Advice deliver digital products better and quicker.

You will be helping us implement a data lake solution to improve operations and to offer innovative services.

You will have dedicated investment time at Citizens Advice to learn new skills, technologies, research topics or work on tools that make this possible.

TRA Robotics
  • Berlin, Germany

We are engineers, designers and technologists, united by the idea of shaping the future. Our mission is to reimagine the manufacturing process. It will be fully software defined. It will be driven entirely by AI. This will mean new products will get to market much quicker.

Now we are working on creating a flexible robotic factory managed by AI. We are developing and integrating a stack of products that will facilitate the whole production process from design to manufacturing. Our goal is complex and deeply rooted in science. We understand that it is only achievable in collaboration across diverse disciplines and knowledge domains.

We're looking for Computer Vision Lead to become a part of the team in our new Berlin office.

About the project:

We want our robots to have a perfect vision. As a team leader, you will manage a distributed team of high-skilled engineers as well as create algorithms for identification, localization and tracking of objects based on both classic computer vision and deep learning.

Your Qualifications:

  • Proficiency with C/C++, Python

  • Strong knowledge of CV algorithms, ML/DL algorithms

  • Extensive experience in OpenCV, TensorFlow, CUDA

  • Deep understanding of optimization methods, machine learning, linear algebra, theory of chances, math statistics, realtime systems

  • Experience to manage distributed teams

  • Fluency in English

Will be an advantage:

  • IoT experience

  • Matlab

  • Java


  • location systems

Your tasks:

  • Working with sensors of various types (2D / 3D cameras, lidars, 3D scanners)

  • Development of computer vision algorithms

  • Solving the problem of identification and localization of the object

  • Development of visual quality control system

What we offer:

  • To join highly scientific-intensive culture and take part in developing the unique product

  • The ability to choose technology stack and approaches

  • Yearly educational budget - we support your ambitions to learn

  • Relocation package - we would like to make your start as smooth as possible

  • Flexible working environment - choose your working hours and equipment

  • Cozy co-working space in Berlin-Mitte with an access to a terrace

FCA Fiat Chrysler Automobiles
  • Detroit, MI

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.

The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

    • Problem Analysis and Project Management:
      • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
      • Identify data-driven/ML business opportunities
      • Collaborate across the business to understand IT and business constraints
      • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
      • Generate and test hypotheses about the underlying mechanics of the business process.
      • Network with domain experts to better understand the business mechanics that generated the data.
    • Data Collection and Integration:
      • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
      • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
    • Machine Learning and Statistical Modelling:
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks
      • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness
    • Operationalization:
      • Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
      • (Help to) integrate model performance management tools into the current business infrastructure
      • (Help to) implement champion/challenger test (A/B tests) on production systems
      • Continuously monitor execution and health of production ML models
      • Establish best practices around ML production infrastructure
    • Other Responsibilities:
      • Train other business and IT staff on basic data science principles and techniques
      • Train peers on specialist data science topics
      • Promote collaboration with the data science COE within the organization.

Basic Qualifications:

    • A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    • Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
    • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
    • All candidates must be self-driven, curious and creative.
    • They must demonstrate the ability to work in diverse, cross-functional teams.
    • Should be confident, energetic self-starters, with strong moderation and communication skills.

Preferred Qualifications:

    • A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
    • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
    • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
    • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
    • Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.
The HT Group
  • Austin, TX

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

  • Application stack runs entirely on Docker frontend and backend
  • Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java and Scala are the languages of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is the SQL database of choice
  • Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies


  • Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
  • Build data pipelines around event-based and streaming-based AWS services and application features
  • Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
  • Share ownership of all facets of software delivery, including development, operations, and test
  • Mentor junior members of the team and coach them to be even better at what they do


  • Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
  • Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
  • Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
  • Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
  • Developed a strong command over Computer Science fundamentals
  • Austin, TX

Unfortunately no H-1 transfers or C2C

Kore1, Inc., the world leader in the recruitment of creative and information technology professionals, has an immediate Pricing Analyst  opening for a Tech company in the Austin Texas area.  Pricing Analyst is to be detailed-orientated with strong analytical skills. This position will have responsibilities for the day-to-day pricing support, analytics and metric development for multiple business segments.  Pricing Analyst will help develop dashboard reporting, pricing model design and impact analysis tools as well as support day to day operations. The Pricing Team works closely with Sales, Product Management, Marketing, Finance and other functional teams related to strategic pricing

Every day millions of people in more than 100 countries use our products and services to securely access physical and digital places. We make it possible for people to transact safely, work productively and travel freely.

What You Will Be Doing:

  • Development Reporting and Analytics related tracking of Pricing, Discounting and Contribution Margin
  • Document global pricing process and workflows
  • Price Book Production and Support
  • Pricing dashboard development, including pricing deviations
  • Special Quote tracking, pricing promotions and other reports as needed by the business
  • Impact and gap analysis modeling
  • Execute ERP pricing, promotions, and OTC maintenance and development
  • Modeling of Pricing Programs, and Revenue impacts
  • FX evaluation and impact analysis
  • Business partner pricing verification and compliance
  • ERP Enhancement process documentation, testing and verification
  • Daily monitoring, implementation and troubleshooting of pricing requests
  • Day-to-day management of pricing, on company platforms; i.e. salesforce and Oracle
  • Provide operational pricing support for the complex pricing requests, i.e. regional modifiers, currency exchange, Global Accounts, as defined by the business
  • Data analytics and reporting for partner pricing and partner assessments, within Cubeware and Excel

What You Need:

  • Advanced level Microsoft Excel Skills
  • Ability to document and maintain complex process mapping and desk procedures
  • Comfortable driving change with a service oriented perspective
  • Comfortable in a collaborative team environment
  • Data management and database management experience preferred.
  • Must possess excellent organization and time management skills.
  • Strong analytical skills required.
  • Excellent verbal and written communication.
  • Exceptional attention to detail
  • Ability to adapt and deliver to fluid deadlines
  • Proficient with reading and creating process flow charts and diagrams.
  • Strong teamwork orientation; works well with cross-functional departments and ability to build and maintain strong relationships; willingness to help larger team meet goals and responsibilities.
  • Ability to think strategically, absorb complex business issues and assess business requirements to ensure alignment to corporate objectives.
  • Ability to establish priorities and follow through on projects, paying close attention to detail with minimal supervision.
  • Ability to interact effectively with all levels within the organization, including Executive, management and individual contributors.

Education and/or Experience:

  • 5+ years Pricing Administration Experience
  • Bachelors Degree in Finance preferred

Language Skills:

  • Ability to effectively communicate in the English language, both verbally and in writing.
  • Ability to construct succinct and efficient executive level communication
  • Ability to read and interpret technical journals, specifications, international technical standards, etc.              

Customer Expectations:

  • Collaborate with cross functional teams
  • Team Player, key contributor

Computer Skills:

  • Advanced Microsoft Excel and PowerPoint capabilities
  • Intermediate database construction and maintenance capability
  • Proficient with MS-Windows operating system.
  • ERP system experience preferred (Oracle EBS, SAP or comparable)
  • 5 years of experience in ERP systems operation, Oracle R12 preferred
  • Knowledge of Oracle Advanced Pricing Module
  • Advanced Microsoft Excel skills
  • Cubeware Reporting Experience a plus
  • Intermediate PowerPoint capabilities
  • Intermediate database construction and maintenance capability
  • Comfortable using cutting edge technological work tools and communication mediums
  • Experience with Salesforce preferred


Riccione Resources
  • Dallas, TX

Sr. Data Engineer Hadoop, Spark, Data Pipelines, Growing Company

One of our clients is looking for a Sr. Data Engineer in the Fort Worth, TX area! Build your data expertise with projects centering on large Data Warehouses and new data models! Think outside the box to solve challenging problems! Thrive in the variety of technologies you will use in this role!

Why should I apply here?

    • Culture built on creativity and respect for engineering expertise
    • Nominated as one of the Best Places to Work in DFW
    • Entrepreneurial environment, growing portfolio and revenue stream
    • One of the fastest growing mid-size tech companies in DFW
    • Executive management with past successes in building firms
    • Leader of its technology niche, setting the standards
    • A robust, fast-paced work environment
    • Great technical challenges for top-notch engineers
    • Potential for career growth, emphasis on work/life balance
    • A remodeled office with a bistro, lounge, and foosball

What will I be doing?

    • Building data expertise and owning data quality for the transfer pipelines that you create to transform and move data to the companys large Data Warehouse
    • Architecting, constructing, and launching new data models that provide intuitive analytics to customers
    • Designing and developing new systems and tools to enable clients to optimize and track advertising campaigns
    • Using your expert skills across a number of platforms and tools such as Ruby, SQL, Linux shell scripting, Git, and Chef
    • Working across multiple teams in high visibility roles and owning the solution end-to-end
    • Providing support for existing production systems
    • Broadly influencing the companys clients and internal analysts

What skills/experiences do I need?

    • B.S. or M.S. degree in Computer Science or a related technical field
    • 5+ years of experience working with Hadoop and Spark
    • 5+ years of experience with Python or Ruby development
    • 5+ years of experience with efficient SQL (Postgres, Vertica, Oracle, etc.)
    • 5+ years of experience building and supporting applications on Linux-based systems
    • Background in engineering Spark data pipelines
    • Understanding of distributed systems

What will make my résumé stand out?

    • Ability to customize an ETL or ELT
    • Experience building an actual data warehouse schema

Location: Fort Worth, TX

Citizenship: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. This company is currently unable to provide sponsorship (e.g., H1B).

Salary: 115 130k + 401k Match



Gravity IT Resources
  • Miami, FL

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

    • 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
Signify Health
  • Dallas, TX

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.

Qualifications:Education/Licensing Requirements:
  • 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.

Experience Requirements:
  • 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
Working Conditions:
  • 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
Sentek Global
  • San Diego, CA

Sentek Global is seeking a Software Engineer to provide support to PMW 150 in San Diego, CA!

  • Design, build and maintain software, develop software infrastructure and development environments, and transition older products and capabilities to the new architectures.
  • Produce effective and powerful solutions to complex problems in areas such assoftware engineering, data analytics, automation,and cybersecurity.
  • Perform analysis of existing and emerging operational and functional requirements to support the current and future systems capabilities and requirements.
  • Provide technical expertise, guidance, architecture, development and support in many different technologies directly to government customers.
  • Perform schedule planning and program management tasks as required.
  • Perform Risk Analysis for implementation of program requirements.
  • Assist in the development of requirements documents.
  • Other duties as required.

  • A current active secret clearance is required to be considered for this role.
  • A Bachelors Degree in data science, data analytics, computer science, or a related technical discipline is required.
  • Three to five (3-5) years providing software engineering support to a DoD program office.
  • Experience working with data rich problems through research or programs.
  • Experience with computer programming or user experience/user interface.
  • Demonstrated knowledge completing projects with large or incomplete data and ability to recommend solutions.
  • Experience with Machine Learning algorithms including convolutional neural networks (CNN), regression, classification, clustering, etc.
  • Experience using deep learning frameworks (preferably TensorFlow).
  • Experience designing and developing professional software using Linux, Python, C++, JAVA, etc.
    • Experience applying Deep/Machine Learning technology to solve real-world problems:
    • Selecting features, building and optimizing classifiers using machine learning techniques.
    • Data mining using state-of-the-art methods.
    • Extending companys data with third party sources of information when needed.
    • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Experience processing, cleansing, and verifying the integrity of data used for analysis.
  • Experience performing ad-hoc analyses and presenting results in a clear manner.
  • Experience creating automated anomaly detection systems and constant tracking of its performance.
  • Must be able to travel one to three (1-3) times per year.
  • San Diego, CA


As Kelzals Machine Learning Engineer, youwill be part of an innovative team that designs and develops algorithms and software for the next generation of AI-enabled visual systems. You will develop power-efficient machine learning and adaptive signal processing algorithms to solve real-world imaging and video classification problems.


  • Develop algorithms for the fast, low-complexity and accurate detection and tracking of objects in real-world environments
  • Develop algorithms for event-based spatio-temporal signal processing
  • Contribute to our machine learning tool sets for curating data and training models
  • Inform sensor decisions for optimal approaches to classification for product requirements
  • Follow and drive research on state-of-the-art approaches in the areas described above, as applied to the problems we're solving


·      Experience in event-based signal processing

·      Experience in continuous-time signal processing techniques

·      Experience in some deep neural network packages (e.g. TensorFlow, NVIDIA Digits,             Caffe/Caffe2)

·      Experience with OpenCV

·      Experience with traditional computer vision approaches to image processing

·      Experience with developing machine-learning algorithms for multi-modal object detection,         scene understanding, semantic classification, face verification, human pose estimation, activity recognition, or anomaly detection

·      Strong experience with classification and regression algorithms

·      Strong coding skills with Python and/or C/C++ in Linux environment

·      Track record of research excellence or/and experience converting publications to actual implementations

·      Experience with commercial development processes such as continuous integration, deployment and release management tools a plus.

·      Experience launching products containing machine learning algorithms a plus

·      Experience with fixed point implementation a plus

·      3+ years hands-on experience working in industry

·      MS or PhD Degree in Computer Science, Electrical Engineering or a related field

.      Current US work authorization

UST Global
  • San Diego, CA


- 7+ years experience with Python

- 4+ years experience with Java

General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

UST Global
  • Atlanta, GA


- 7+ years experience with Python

- 4+ years experience with Java

General Responsibilities
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state of the art methods
- Extending business data with third party sources of information when needed
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Processing, cleansing, and verifying the integrity of data used for analysis
- Doing ad hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
Skills and Qualifications
- Min 8 yrs of experience
- Hands on experience in Python
- Excellent understanding of machine learning techniques and algorithms.
- Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualization tools, such as GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB
- Good applied statistics skills, such as distributions, statistical testing, regression,

HelloFresh US
  • New York, NY

HelloFresh is hiring a Data Scientist to join our Supply Chain Analytics Team! In this exciting role, you will develop cutting edge insights using a wealth of data about our suppliers, ingredients, operations, and customers to improve the customer experience, drive operational efficiencies and build new supply chain capabilities. To succeed in this role, you’ll need to have a genuine interest in using data and analytic techniques to solve real business challenges, and a keen interest to make a big impact on a fast-growing organization.

You will...

  • Own the development and deployment of quantitative models to make routine and strategic operational decisions to plan the fulfillment of orders and identify the supply chain capabilities we need to build to continue succeeding in the business

  • Solve complex optimization problems with linear programming techniques

  • Collaborate across operational functions (e.g. supply chain planning, logistics, procurement, production, etc) to identify and prioritize projects

  • Communicate results and recommendations to stakeholders in a business oriented manner with clear guidelines which can be implemented across functions in the supply chain

  • Work with complex datasets across various platforms to perform descriptive, prescriptive, predictive, and exploratory analyses

At a minimum, you have...

  • Advanced degree in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Engineering or a related field

  • 2 - 5 years’ experience delivering analytical solutions to complex business problems

  • Knowledge of linear programming optimization techniques (familiarity with software like CPLEX, AMPL, etc is a plus)

  • Fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.

  • Experience extracting and transforming data from structured databases such as: MySQL, PostgreSQL, etc.

You are...

  • Results-oriented - You love transforming data into meaningful outcomes

  • Gritty - When you encounter obstacles you find solutions, not excuses

  • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo

  • A team player – You favor team victories over individual success

  • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work

  • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously

  • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems

Our team is diverse, high-performing and international, helping us to create a truly inspiring work environment in which you will thrive!

It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran.

Computer Staff
  • Fort Worth, TX

We have been retained by our client located in Fort Worth, Texas (south Ft Worth area), to deliver a Risk Modeler on a regular full-time basis.   We prefer SAS experience but are interviewing candidates with R, SPSS, WPS, MatLab or similar statistical package experience if candidate has experience from financial loan credit risk analysis industry. Enjoy all the resources of a big company, none of problems that small companies have. This company has doubled in size in 3 years. We have a keen interest in finding a business minded statistical modeling candidate with some credit risk experience to build statistical models within the marketing, direct mail areas of financial services, lending, loans. We are seeking a candidate with statistical modeling, and data analysis skills, interested in creating better ways to solve problems in order to increase loan originations, and decrease loan defaults, and more. Our client is in business to find prospective borrowers, originate loans, provide loans, service loans, process loans and collect loan payments. The team works with third party data vendors, credit reporting agencies and data service providers, data augmentation, address standardization, fraud detection; decision sciences, analytics, and this position includes create of statistical models. They support the one of the, if not the largest profile of decision management in the US.  

We require experience with statistical analysis tools such as SAS, Matlab, R, WPS or SPSS or Python if to do statistical analysis. This is a statistical modeling, risk modeling, model building, decision science, data analysis and statistical analysis type of role requiring SQL and/or SQL Server experience and critical thinking skills to solve problems.   We prefer candidates with experience with data analysis, SQL queries, joins (left, inner, outer, right), reporting from data warehouses with tools such as Tableau, COGNOS, Looker, Business Objects. We prefer candidates with financial and loan experience especially knowledge of loan originations, borrower profiles or demographics, modeling loan defaults, statistical analysis i.e. Gini Coefficients and K-S test / Kolmogorov-Smirnov test for credit scoring and default prediction and modeling.

However, primarily critical thinking skills, and statistical modeling and math / statistics skills are needed to fulfill the tasks of this very interesting and important role, including playing an important role growing your skills within this small risk/modeling team. Take on challenges in the creation and use of statistical models. There is no use for Hadoop, or any NoSQL databases in this position this is not a big data type of position. no "big data" type things needed. There is no Machine Learning or Artificial Intelligence needed in this role. Your role is to create and use those statistical models. Create statistical models for direct mail in financial lending space to reach the right customers with the right profiles / demographics / credit ratings, etc. Take credit risk, credit analysis, loan data and build a new model, or validate the existing model, or recalibrate it or rebuild it completely.   The models are focused on delivering answers to questions or solutions to problems within these areas financial loan lending: Risk Analysis, Credit Analysis, Direct Marketing, Direct Mail, and Defaults. Logistical regression in SAS or Knowledge Studio, and some light use of Looker as the B.I. tool on top of SQL Server data.   Deliver solutions or ways for this business to make improvements in these areas and help the business be more profitable. Seek answers to questions. Seek solutions to problems. Create models. Dig into the data. Explore and find opportunities to improve the business. Expected to fit within the boundaries of defaults or loan values and help drive the business with ideas to get a better models in place, or explore data sources to get better models in place. Use critical thinking to solve problems.

Answer questions or solve problems such as:

What are the statistical models needed to produce the answers to solve risk analysis and credit analysis problems?

What are customer profiles have the best demographics or credit risk for loans to send direct mail items to as direct marketing pieces?

Why are loan defaults increasing or decreasing? What is impacting the increase or decrease of loan defaults?  

Required Skills

Bachelors degree in Statistics or Finance or Economics or Management Information Systems or Math or Quantitative Business Analysis or Analytics any other related math or science or finance degree. Some loan/lending business domain work experience.

Masters degree preferred, but not required.

Critical thinking skills.

must have SQL skills (any database SQL Server, MS Access, Oracle, PostgresSQL, Postgres) and the ability to write queries, joins, inner joins, left joins, right joins, outer joins. SQL Server is highly preferred.

Any statistical analysis systems / packages experience including statistical modeling experience, and excellent math skills:   SAS, Matlab, R, WPS, SPSS or Python with R language if used in statistical analysis. Must have significant statistical modeling skills and experience.

Preferred Skills:
Loan Credit Analysis highly preferred.   SAS highly preferred.
Experience with Tableu, Cognos, Business Objects, Looker or similar data warehouse data slicing and dicing and data warehouse reporting tools.   Creating reports from data warehouse data, or data warehouse reporting. SQL Server SSAS but only to pull reports. Direct marketing, direct mail marketing, loan/lending to somewhat higher risk borrowers.

Employment Type:   Regular Full-Time

Salary Range: $85,000 130,000 / year    

Benefits:  health, medical, dental, vision only cost employee about $100 per month.
401k 4% matching after 1 year, Bonus structure, paid vacation, paid holidays, paid sick days.

Relocation assistance is an option that can be provided, for a very well qualified candidate. Local candidates are preferred.

Location: Fort Worth, Texas
(area south of downtown Fort Worth, Texas)

Immigration: US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.

Please apply with resume (MS Word format preferred), and also Apply with your Resume or apply with your Linked In Profile via the buttons on the bottom of this Job Posting page:  

Please call 817-424-1411 or please send a Text to 817-601-7238 to inquire or to follow up on your resume application. Yes, we recommend you call to leave a message, or send a text with your name, at least.   Thank you for your attention and efforts.

National Pen
  • San Diego, CA

National Pen is looking for an enthusiastic and passionate Digital Marketing Analyst to accelerate the growth of our ecommerce business utilizing Google Analytics (GA 360). In this role, youll work closely with the Channel Managers to provide valuable insight into how we measure, analyze, and attribute our digital marketing efforts. You will be expected to cull actionable insights from the data and work with the business leaders to implement and monitor your suggestions. This is a direct hire position with Benefits, PTO, 401K plus much more!


  • Create dashboards and ad hoc reports supporting your analysis using Google Data Studio
  • Monitor trends to identify funnel drop-off points using Custom GA Reports and Google Sheets
  • Work with Channel Managers to identify tracking opportunities on the website
  • Facilitate any changes to analytics tagging by working with front-end engineering team to test and deploy new tags
  • Track Assisted Conversions for Paid Media campaigns
  • Synthesize quantitative data (GA) with the qualitative data (Full Story) to identify areas of improvement
  • Monitor and analyze Lifetime Value of all digital campaigns using in-house reporting
  • Analyze Brand and Non Brand keyword performance for SEO
  • Ensure data integrity for the Web Analytics dataset


  • 5+ years of experience in web analytics with ecommerce focus
  • 5+ years of exposure to digital marketing efforts (including Paid Media, SEO, or Email Marketing)
  • Deep subject matter expertise with Google Analytics (and GA 360)
  • Thorough understanding of Google Tag Manager
  • Basic SQL knowledge
  • Strong mathematical and problem-solving skills
  • Comfortable working with Web Analytics data outside of the GA interface (using R or Python)
  • Familiarity with A/B testing tools, including Monetate
  • Proven ability to turn data into actionable recommendations to achieve business goals
  • Outstanding communication skills with both technical and non-technical colleagues

National Pen is committed to equal opportunity for all employees and applicants without regard to race, religion, color, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military or veteran status, marital status, pregnancy, age, protected medical condition, physical or mental disability, genetic information or any other status protected by applicable federal, state and local laws

Apporchid Inc
  • Philadelphia, PA

Java- Techcnial lead

Job description:

Experienced Java/J2EE technical lead with proven expertise in implementing, managing enterprise scale Hadoop architectures and environments. Setup highly available App Orchid Java Product platform in AWS with industry standard security frameworks. Collaborates with application developers to support, manage, enhance and tactical roadmaps to support large and highly visible Product environment deployments.

Roles and Responsibilities:

  • Work with Solution Architects and Business leaders to understand the architectural roadmaps that support and fulfill business strategy.
  • Lead and design custom solutions on our App Orchid Product Platform
  • Act as a Tech Lead and Engineer mentoring colleagues with less experience
  • Collaboration with a high-performing, forward-focused team, Product Owner(s) and Business stakeholders engagement
  • Enable and influence the timely and successful delivery of business data capabilities and/or technology objectives
  • Opportunity to expand your communication, analytical, interpersonal, and organization capabilities
  • Experience working in a fast paced environment driving business outcomes leveraging Agile to its fullest
  • Enhance your entrepreneurial mindset network opportunity and influencing outcomes
  • Supporting environment that fosters can-do attitude and opportunity for growth and advancement based on consistent demonstrative performance.
  • Expertise in system administration and programming skills. Storage, performance tuning and capacity management of Big Data.
  • Good understanding of Hadoop eco system such as HDFS, YARN, Map Reduce, HBase, Spark, and Hive.
  • Experience in setup of SSL and integration with Active Directory.
  • Good exposure to CI/CD
  • Oversee technical deliverables for invest and maintenance projects through the software development life cycle, including validating the completeness of estimates, quality and accuracy of technical designs, build and implementation.
  • Proactively address technical issues and risks that could impact project schedule and/or budget
  • Work closely with stakeholders to design and document automation solutions that align with the business needs and also consistent with the architectural vision.
  • Facilitate continuity between Sourcing Partners, other IT Groups and Enterprise Architecture.
  • Work closely with the architecture team to ensure that the technical solution designs and implementation are consistent with the architectural vision, as well as to drive the business through technical innovation through the use of newly identified and leading technologies.
  • Own and drive adoption of DevOps tools and best practices (including conducting (automated) code reviews, reducing/eliminating technical debt, and delivering vulnerability free code) across the application portfolio.


  • Bachelor's degree or equivalent work experience
  • Eight to Ten years (or more) experience as Java/J2EE Technical lead/Sr developer in a large production environment.
  • A deep understanding of Big Data,  Java, Elastic Search, Kibana, Postgresql, TestNG, Gradle
  • Good verbal and written communication skill
  • Demonstrated experience in working on large projects or small teams
  • Working knowledge of Red Hat Linux and Windows operating systems
  • Expert knowledge in Java programming language, SQL and microservices  
  • Good understanding of Cloud technologies, especially AWS stack
  • At least 8 years experience with developing and implementing applications

Desired Skills and Experience

  • Proficient with Java development
  • Ability to quickly learn new technologies and enable/train other analysts
  • Ability to work independently as well as in a team environment on moderate to highly complex issues
  • High technical aptitude and demonstrated progression of technical skills - continuous improvement
  • Ability to automate software/application installations and configurations hosted on Linux servers.
Daimler AG
  • Stuttgart, Deutschland


Automatisiertes Fahren ist eine der großen Herausforderungen der Automobilindustrie in den nächsten Jahren. Die Abteilung Umgebungserfassung ist dabei sowohl für die Weiterentwicklung geeigneter Sensorik, als auch für die Entwicklung der notwendigen Algorithmen zum Verstehen von Verkehrsszenen zuständig.

Eine sehr wichtige Technologie in diesem Umfeld ist die Radar-Technologie. Zur Entwicklung einer ausgereiften Radar-Lösung für den Einsatz im automatisierten Fahren suchen wir eine/-n Softwareentwickler/-in Radarverstehen zur Verstärkung des Teams Radar.

Ihre Aufgaben im Einzelnen:
Softwareseitige Anbindung und Inbetriebnahme von Sensoren (Autosar).
Entwicklung und Pflege von SW Infrastruktur und Basis-SW.
Definition und Test von Sensorschnittstellen.
Implementierung neuer Algorithmen und Migration bestehender Algorithmen auf die Zielarchitektur. (ARM, embedded GPU).
Spezifikation und Review von Lastenheften.
Abstimmung der Erfordernisse mit dem Zulieferer.
Freigabeuntersuchungen und Serienfreigaben.
Enge Zusammenarbeit mit in- und externen Partnern des Teams.


Abgeschlossenes Studium der Fachrichtung Informatik, Technische Informatik, Ingenieurwissenschaften oder MINT-Fächer

Erfahrung und spezifische Kenntnisse:
Sehr gute Kenntnisse in der objektorientierten Programmierung mit C++ und CUDA unter Linux
Erfahrung in der Verwendung gängiger Entwicklungswerkzeuge (Eclipse CDT, gdb, gcc, CMake)
Mehrjährige Erfahrung in der Programmierung echtzeitfähiger Systeme
Kenntnis gängiger Entwurfsmuster sowie der UML
Gute Kenntnisse in Skriptsprachen (Python, Linux-Shell)
Kenntnis gängiger Bus-System im Automobilbereich (FlexRay, CAN, BroadR-Reach)
Mehrjährige Erfahrung in der Entwicklung großer Softwareprojekte und der Anwendung agiler Methoden (Scrum, Atlassian-Tools, git Workflow, Issue Tracking)
Erfahrung in der Programmierung von Steuergeräten von Vorteil
Kenntnisse in ISO26262 und MISRA C von Vorteil
Gute Kenntnisse in MATLAB Simulink
Praktische Erfahrung im Einsatz von Matlab, DOORS, MS Project, MS Office

Verhandlungssichere Deutsch- und Englischkenntnisse

Persönliche Kompetenzen:
Ausgeprägte Ziel- und Ergebnisorientierung
Ausgeprägte Kommunikationsfähigkeit
Unternehmerische Herangehensweise und Eigeninitiative

Führerschein Klasse B
Bereitschaft zur Teilnahme an Versuchsfahrten und gelegentlicher Reisetätigkeit

GE Capital
  • Ann Arbor, MI
  • ***Please Note: This Role is in Van Buren, MI (30 minutes drive from Ann Arbor)

Role Summary

Serve as analytics & visualization developer to build innovative solutions to support a broad range of analysis and outcomes. Partner with teams to create wing-to-wing transactional views, trends and anomalies leveraging GE's data lake. Look for new ways to harness the data we have for insights and actionable outcomes. 

In This Role, You Will

Essential Responsibilities: 

  • Develop Spotfire reports utilizing advanced data visualization techniques and related SQL.
  • Leverage Treasury Data Lake and data virtualization technologies (Denodo) to deliver new capabilities on tablet and mobile platforms.
  • Work on an agile team using Rally to quickly prototype and iterate on ideas
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities
  • Technical analysis working with PostgreSQL & AWS native services
  • Partner with business teams to define requirements & user stories
  • Building and implementing analytical models with R and Python

  • Bachelors degree from an accredited university or college in Computer Science or Information Systems
  • One or more years experience of design & development of data centric applications leveraging data from enterprise data warehouses.

Eligibility Requirements:

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job

Technical Expertise

Desired Characteristics:
  • 1 year+ experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Spotfire, Qlik, Tableau etc.); a data and reporting guru.
  • Experience with web technologies such as ASP, HTML and CSS Integration of same with Data Visualization tools (e.g. extensions) a plus
  • Experience with scripting languages like Java Script, Python etc.
  • Exposure to advanced analytic & data science applications
  • Excellent BI application development skills, as demonstrated by having led, designed and implemented successful web and mobile projects
  • Ability to clearly articulate creative ideas to senior leaders
  • Ability to guide and direct technical team members through the SDLC
  • Ability to hit tight deadlines and work under pressure
  • SAP and/or Oracle ERP systems exposure a plus
  • Passion for learning new technologies and eagerness to collaborate with other creative minds
  • Strong desire for exploring, evaluating and understanding new technologies
Splice Machine
  • Atlanta, GA

Splice Machine, an AI predictive platform startup company, is looking for a Solutions Architect with experience working with complex distributed systems and large data sets using Spark and Hadoop.  Work from anywhere in the US.

Splice Machines predictive platform solution helps companies turn their Big Data into actionable business decisions. Our predictive platform eliminates the complexity of integrating multiple compute engines and databases necessary to power next-generation enterprise predictive AI and Machine Learning applications.

Some of our use-cases include:

  • At a leading credit card company, Splice Machine powers a customer service application that returns sub-20ms record lookups on 7 PB of data
  • At a Fortune 50 bank, Splice Machine is replacing a leading RDBMS and data warehouse with one platform in a customer profitability application
  • At an RFID tag company, Splice Machine is replacing a complex architecture for a retail IoT solution
  • At a leading financial service company, Splice Machine powers an enterprise data hub for 10,000 users
  • At a leading healthcare solution provider, Splice Machine powers a predictive application to learn models and use them to save lives in hospitals

Splice Machines CEO/ Co-Founder, Monte Zweben, is a serial entrepreneur in AI, selling his first company, Red Pepper, to Peoplesoft/ Oracle for $225M and taking his second company Blue Martini, through one of the largest IPOs in the early 2000s ($2.9B). He started Splice Machine to disrupt the $30 billion traditional database market with the first open-source dual engine database and predictive platform to power Big Data, AI and Machine Learning applications.   

Splice Machine has recruited a team of legendary Big Data advisors including, Roger Bamford, Father of Oracle RAC, Michael Franklin, former Director of AMPLab at UC Berkeley, Ken Rudin, Head of Growth and Analytics for Google Search, Andy Pavlo, Assistant Professor of Computer Science at Carnegie Mellon University and Ray Lane, former COO of Oracle, to collaborate with the Splice Machine team as we blaze new trails in Big Data.

Solution Architect

About You

  • You have implemented several large (40-50 node) Hadoop projects and have demonstrated successful outcomes.
  • You take pride in working to understand, quantify and verify the business needs of customers and their specific use cases, translating these needs into big data, DB, or ML capabilities.
  • You are comfortable engaging both business and engineering leadership, team leads and individual contributors to drive successful business outcomes.
  • Your project leadership style emphasizes collaboration and follow-through.
  • You are very technical and are accustomed to working with architects, developers, project managers, and C-level experts to ensure the best implementation practices and use of the product.

About What Youll Work On

  • Build the customers trust by maintaining a deep understanding of our solutions and their business.
  • Speak with customers about Splice Machine's most relevant features/functionality for their specific business needs.
  • Manage all post-sales technical activity, working on a cross-functional team of Splice Machine and customer resources for solution implementation.
  • Ensure that a plan is in place for each customer deployment, change management and adoption and communicated to all contributors.
  • Act as the voice of the customer and provide internal feedback on how Splice Machine can better serve our customers while working closely with Product and Engineering on identification and tracking of new feature and enhancement requests.
  • Help Sales identify new business opportunities within the customer in other departments.
  • Increase customer retention and renewals by conducting regular check-in calls and perform quarterly business reviews that drive renewals, upsells, adoption and customer references.


  • Expertise in Cloudera and/or Hortonworks Hadoop solutions.
  • 7+ years of experience in architecting complex database and big data solutions for enterprise software.
  • Experience working in a complex multi-functional environment
  • Hands-on experience with SQL, Java and tuning databases
  • Experience with scalable and highly available distributed systems
  • BS in Computer Science / B.A. or equivalent work experience

Our people enjoy access to the best tools available, an open and collaborative work environment and a supportive culture inspiring them to do their very best.  We offer great salaries, generous equity, employee & family health coverage, flexible time off, and an environment that gives you the flexibility to seize moments of inspiration among other perks.

We encourage you to learn more about working here!

Strong Analytics
  • Chicago, IL
  • Salary: $80k - 125k

Strong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building  statistical models, and generally helping our clients discover value in their data.

At Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.

We offer a comprehensive compensation package, including:

  • Competitive salary

  • Profit sharing or equity, based on experience

  • Health insurance

  • Four weeks paid vacation

  • Work-from-Home Wednesdays


Candidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):

  • Statistical modeling and hypothesis testing

  • Designing, training, and validating results from a breadth of machine learning algorithms

  • Writing clean, efficient SQL

  • Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)

  • Building Python applications

  • Deploying applications into cloud-based infrastructures (e.g., AWS)

  • Building deep neural networks with modern tools, such as PyTorch or Tensorflow

  • Creating and interacting with RESTful APIs

  • Managing *nix servers

  • Writing unit tests

  • Collaborating via Git

Applicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.

Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.