Kraft Analytics Group
Data Scientist
Kraft Analytics Group, Foxborough, Massachusetts, United States, 02085
Job DetailsJob Location:
KAGR - Foxborough, MAPosition Type:
Full TimeEducation Level:
Bachelor'sJob Shift:
DayJob Category:
Technical/AnalyticsSUMMARY
KAGR is seeking a skilled Data Scientist with experience developing machine learning models to drive business decisions, deploying models into production, and maintaining the ML infrastructure. The position will autonomously own the design, execution, and delivery of actionable data science models to answer strategic questions in the sports industry. This person will work closely with other members of the Data Science team and will partner with internal teams including Client Services, Data Engineering, and Business Intelligence to develop a variety of predictive models, forecasting models, and marketing analyses. Additionally, the Data Scientist will partner with our Product team to build and maintain an infrastructure that facilitates end-to-end ML workflows.DUTIES AND RESPONSIBILITIES
Design, develop, deploy and maintain a variety of predictive models (including lead scoring, lookalike, retention, and other customized predictive models).Establish scalable, efficient, automated processes for data analysis, model development, model validation and production.Partner with internal teams to ensure that Data Science output meets client requirements from a business and technical perspective.Focus on model operations, including all tasks necessary to turn a prototype into a production model, such as packaging, validation, deployment, and monitoring.Partner with other members of the Data Science team to develop new models and iteratively improve upon existing models to help answer clients’ business questions and inform clients’ strategic decisions.Act as a mentor to junior Data Science team members to share new techniques and maintain & enhance best practices.Willingness to explore new and custom solutions as required by KAGR clients.Special projects and assignments as business dictates.Responsible for the maintenance, creation and control of all personally identifiable information or any other information protected by any Confidentiality or Privacy Standards or Company Policies.Supervisory Responsibilities
This position has no supervisory responsibilities.SKILLS AND QUALIFICATIONS
Bachelor’s Degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline (master’s degree is a plus).3+ years of experience in model design or architecture (design patterns, reliability and scaling) of new and existing models.3+ years of experience developing and training and testing advanced analytical and ML models.Demonstrable experience working with tools such as AWS, Git, MLFlow or equivalent and deploying models to cloud environments via containers.Demonstrable experience with common data science toolkits, such as Python, Sci-kit Learn, TensorFlow, PyTorch, NumPy, etc.Interest in learning and applying statistical methodologies, techniques and processes.Interest in continuously deepening knowledge of advanced statistical analysis and modeling.Ability to present complex data sets and analyses in ways that are easy to understand for both technical and nontechnical audiences.Experience with SQL required for data mining.Excellent analytical and problem-solving skills, with a strong desire to learn and drive new solutions.Ability to work collaboratively within a diverse team and serve a variety of stakeholders with different priorities.Outstanding organizational skills and attention to detail.Must be curious, resourceful, team-oriented, and coachable with a determination to succeed.Must have attention to detail and focused concentration.Must be able to learn new tasks and complete tasks independently.Must be able to make timely decisions in the context of the workflow.Must possess strong organizational skills, ability to multi-task and responsiveness.PHYSICAL DEMANDS
Sitting for extended periods of time.Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computing equipment.The employee frequently is required to talk or hear.The employee is occasionally required to reach with hands and arms.Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.WORK ENVIRONMENT
Fast paced office environment.The noise level in the work environment is usually moderate.CERTIFICATES, LICENSES, REGISTRATIONS
None required.OTHER DUTIES
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.This company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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KAGR - Foxborough, MAPosition Type:
Full TimeEducation Level:
Bachelor'sJob Shift:
DayJob Category:
Technical/AnalyticsSUMMARY
KAGR is seeking a skilled Data Scientist with experience developing machine learning models to drive business decisions, deploying models into production, and maintaining the ML infrastructure. The position will autonomously own the design, execution, and delivery of actionable data science models to answer strategic questions in the sports industry. This person will work closely with other members of the Data Science team and will partner with internal teams including Client Services, Data Engineering, and Business Intelligence to develop a variety of predictive models, forecasting models, and marketing analyses. Additionally, the Data Scientist will partner with our Product team to build and maintain an infrastructure that facilitates end-to-end ML workflows.DUTIES AND RESPONSIBILITIES
Design, develop, deploy and maintain a variety of predictive models (including lead scoring, lookalike, retention, and other customized predictive models).Establish scalable, efficient, automated processes for data analysis, model development, model validation and production.Partner with internal teams to ensure that Data Science output meets client requirements from a business and technical perspective.Focus on model operations, including all tasks necessary to turn a prototype into a production model, such as packaging, validation, deployment, and monitoring.Partner with other members of the Data Science team to develop new models and iteratively improve upon existing models to help answer clients’ business questions and inform clients’ strategic decisions.Act as a mentor to junior Data Science team members to share new techniques and maintain & enhance best practices.Willingness to explore new and custom solutions as required by KAGR clients.Special projects and assignments as business dictates.Responsible for the maintenance, creation and control of all personally identifiable information or any other information protected by any Confidentiality or Privacy Standards or Company Policies.Supervisory Responsibilities
This position has no supervisory responsibilities.SKILLS AND QUALIFICATIONS
Bachelor’s Degree in Statistics, Economics, Mathematics, Computer Science, or quantitative discipline (master’s degree is a plus).3+ years of experience in model design or architecture (design patterns, reliability and scaling) of new and existing models.3+ years of experience developing and training and testing advanced analytical and ML models.Demonstrable experience working with tools such as AWS, Git, MLFlow or equivalent and deploying models to cloud environments via containers.Demonstrable experience with common data science toolkits, such as Python, Sci-kit Learn, TensorFlow, PyTorch, NumPy, etc.Interest in learning and applying statistical methodologies, techniques and processes.Interest in continuously deepening knowledge of advanced statistical analysis and modeling.Ability to present complex data sets and analyses in ways that are easy to understand for both technical and nontechnical audiences.Experience with SQL required for data mining.Excellent analytical and problem-solving skills, with a strong desire to learn and drive new solutions.Ability to work collaboratively within a diverse team and serve a variety of stakeholders with different priorities.Outstanding organizational skills and attention to detail.Must be curious, resourceful, team-oriented, and coachable with a determination to succeed.Must have attention to detail and focused concentration.Must be able to learn new tasks and complete tasks independently.Must be able to make timely decisions in the context of the workflow.Must possess strong organizational skills, ability to multi-task and responsiveness.PHYSICAL DEMANDS
Sitting for extended periods of time.Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computing equipment.The employee frequently is required to talk or hear.The employee is occasionally required to reach with hands and arms.Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.WORK ENVIRONMENT
Fast paced office environment.The noise level in the work environment is usually moderate.CERTIFICATES, LICENSES, REGISTRATIONS
None required.OTHER DUTIES
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.This company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.
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