Execute Data Accuracy, Characteristics, and Process Integration
Gather requirements and develop solutions in data quality management
Become a Subject Matter Expert in data quality of Connected Vehicle and Smart Mobility
Develop, document, and maintain data quality goals, standards, and requirements
Establish and maintain an ongoing process for reviewing suspect data, determining root cause, and communicating remediation requirements
Coordinate the development, implementation, follow-up, and evaluation of effectiveness of corrective action plans as required
Conduct systematic data quality evaluations using enterprise common tools
Vehicle modem data decoding support
Manage data quality issues using the traditional and AI/ML approaches
Perform data profiling, UAT, monitoring
Establish data quality benchmarks and drive improvements
Explore data quality insight to aid the analytics solutions
Create data quality products for monitoring and reporting
Develop documentation for production and maintenance efficiency
Demonstrated problem formulation with the ability to take complex problems and break them down to create and implement an action plan
Ability to communicate findings to make data analysis actionable and understandable by Data Operations team members, business partners, including IT and analytic teams
Ability to communicate information and ideas in written and verbal formats effectively, including process documentation
Strong collaboration skill and the ability to work within a cross-functional team
Technical skill in data management and application design
AI/ML model building
Experience in Linux, Hadoop, Hive, SQL, Spark, DBMS, Python, Scala, Machine Learning and Informatica
Progressive responsibilities managing data and data processes
Minimum of 5 years of experience in Analytics Data Management, including system design and data architecture
Minimum of 5 years of experience in data quality analysis and support
Minimum of 2 years of experience in Big Data technologies in Hadoop/Hive/Spark platform using Python/Scala
Minimum of 1 year of experience in Informatica Mapping/Profiling/Score Card/Enterprise Data Catalog
AI/ML model developed by self in auto industry
Familiar with Connected Vehicle and Mobility data attributes
Strong team player, to solve problems and actively incorporate input from various sources
Demonstrated customer focus, with the ability to evaluate decisions through the eyes of the customer, build strong customer relationships, and create processes with customer viewpoint
Strong analytical and problem-solving skills, with the ability to communicate in a clear and succinct manner and effectively evaluates information/data to make decisions
Strong interpersonal skills, with proven abilities to communicate complex topics to leaders and peers in a simple, clear, plan oriented manner
Change oriented, with the ability to actively generates process improvements, support and drives change, and confront difficult circumstances in creative ways
Resourceful and quick learner, with the ability to efficiently seek out, learn, and apply new areas of expertise, as needed
Highly self-motivated, with the ability to work independently
Strategic and clear thinking to translate discreet and complex ideas to business-driven results
Detail-oriented with a strong drive to enforce common standards
Demonstrated acceptance and adherence to high ethical, moral, and personal values
Education Required: Bachelor's degree in Computer Science, Engineering, or Statistics
Operations Research Analyst
Pay Rate: $82,072–$147,502 / yr
Seeking an experienced Operations Research (OR) Analyst to support extensive high visibility Modeling, Simulation, and Analysis (MS&A) efforts.
Essential Job Functions:
As this Operations Research (OR) Analyst, you could expect to: Lead a study team to answer key analysis questions on new and existing technologies.
Collaborate with Principal Investigators and customer stakeholders to identify study requirements and develop relevant technical approaches.
Manage and contribute to the development and execution of MS&A study plans. Collaborate with subject matter experts, such as airmen and technologists, to identify requirements for system implementation in models and simulations.
Coordinate with team members to contribute to the execution of the analysis of studies, analyze results, and prepare and present study findings. Ensure application of MS&A best practices for all analysis efforts.
Some intermittent short-term travel may be required.
Due to the sensitivity of customer related requirements, U.S. Citizenship is required
At least a BS degree in Engineering, Science, Mathematics, or a related technical discipline; and at least eight years of related analysis experience. (We have multiple levels associated with this opportunity.
Candidates with advanced degrees or varying experience may be considered for alternative classification).
Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information: active Secret level U.S. DoD security clearance.
Experienceleading analysis teams and mentoring junior analysts.
Ability to apply leading-edge OR principles, theories, and concepts to study tasks.
Ability to solve highly-complex OR problems.
Excellent written and verbal English communication skills.
Experience with engagement, mission, or campaign level simulation environments.Ability to apply the scientific method to diverse MS&A efforts.Scripting or Programming experience.Ability to work well in team environments.
Ability to travel, if needed.
Sr. Hadoop Data Engineer - Temp Job
Temp 26 weeks
Pay rate $68.00–$72.00 / hr
Hadoop Data Engineer to join our growing team of analytics experts. The contractor will be responsible for building and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder. The Hadoop Data Engineer will support our software developers and database architect's initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
This role will start working remotely but after COVID restrictions are lifted, the goal is to have this person onsite in Hartford, CT. This is a temp-perm opportunity
• Develops large scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
• Collaborates with other data teams to transform data and integrate algorithms and models into automated processes.
• Uses knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines.
• Builds data marts and data models to support Data Science and other internal customers.
• Analyzes current information technology environments to identify and assess critical capabilities and recommend solutions.
• Experiments with available tools and advices on new tools in order to determine optimal solution given the requirements dictated by the model/use cases
• 3 or more years of progressively complex related experience.
• Has strong knowledge of large scale search applications and building high volume data pipelines.
• Experience building data transformation and processing solutions.
• Knowledge in Hadoop architecture, HDFS commands, and experience designing & optimizing queries against data in the HDFS environment.
• Ability to understand complex systems and solve challenging analytical problems.
• Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources.
• Strong collaboration and communication skills within and across teams.
• Strong problem-solving skills and critical thinking ability.
SKILL SET desired:
• Shell Script
• Hadoop Concepts (Sqoop, YARN, MapReduce,etc.)
ADDED MUST-HAVES: Kafka and NIFI for skillsets and experience with Azure and GCP (Cloud)
Position is on Hold, Not accepting any applications - Sr Data Scientist
$89,082–$132,786 / yr
As a member of the Research & Development team, the Data Scientist is responsible for experiments and constructing new product porotypes on existing and new research. Deploys data-driven exploratory analysis as well as predictive models to solve business problems across the financial services industry, particularly in the area of Originations, Risk and Fraud, Digital engagement, Payments, and Customer Management. Designs and analyzes experiments to test new product ideas and convert the results into actionable product recommendations. Leads Analytics Model development, validation, and maintenance. Assists with data collection, cleaning, visualization, model building, training, testing, and presentations to build analytics capability and drive efficiencies
Job Specific Experience Required/Preferred for the Role
Masters degree or higher in mathematics or economics. At least five years of employment experience past a master's in data science or another analytics field.
Prior experience deploying models in production. Preferably skill sets in Kubeflow or another distributed ecosystem deployment system for machine learning.
Prior experience working for one of the following:
Experience with at least working knowledge on one of the following products (ACE/ADM, Determinator, Cardguard, TRIAD/PowerCurve) OR
Cardboard, focusing on issuing specific capabilities OR issuing products
Prior experience working for one of the big 4 or another management consulting firm, again with an emphasis on credit card issuing
Preferably located in Atlanta, but open to remote east coast candidates.
Either a patent or speaking roles at major data science conferences (Open Data Science conference, etc.) is a huge plus
What Part Will You Play?
Designs experiments, perform hypothesis testing and build various data models
Analyzes and mines both structured and unstructured data to drive product-centric as well as user-centric insights.
Develops and tests analytical solutions to be leveraged by both internal and external clients. Crafts compelling stories; make logical recommendations; drives informed actions.
Applies advanced statistical techniques to understand ecosystems, user behaviors, and long-term trends.
Leads and executes independent quantitative research projects, leveraging data from multiple sources
Creates insightful automated dashboards and data visualizations to track key business metrics, with an initial emphasis on issuing business.
Uses best practices to understand the data and develop statistical, analytical techniques to build models that address business needs.
Not an exhaustive list; other duties as assigned.
What Are We Looking For in This Role?
Bachelor's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline
Minimum of two years of working experience as a data scientist in the payments industry OR a minimum of 3 years of working as a data scientist in banking/financial services OR 5 years of working as a data scientist in all other industries.
Typically Minimum 4 Years Relevant Exp
Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop)
Prefer experience with Product Analytics
Patents, published research, and/or conference presentations in the data science field. are a big plus.
Experience with building AWS cloud-native data science applications
Experience in productization of data science products
Masters in Data Science or a related quantitative field. Ph.D.'s are also valid but need to have work experience similar to MS candidates.
Experiencing building and deploying real-time scoring models into production
Master's Degree - Quantitative Analytics, Statistics, Mathematics, Data Science, or similar discipline
What Are Our Desired Skills and Capabilities?
Skills / Knowledge - A seasoned, experienced professional with a full understanding of an area of specialization; resolves a wide range of issues in creative ways. This job is a fully qualified, career-oriented, journey-level position.
Job Complexity - Works on problems of diverse scope where analysis of data requires evaluation of identifiable factors. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Networks with senior internal and external personnel in own area of expertise.
Supervision - Normally receives little instruction on day-to-day work, general instructions on new assignments.