Job Posting Details

1. Design, develop, deploy and maintain a variety of predictive models (including lead scoring, lookalike, retention, and other customized predictive models)

2. Establish scalable, efficient, automated processes for data analysis, model development, model validation and production

3. Partner with internal teams to ensure that Data Science output meets client requirements from a business and technical perspective

4. Focus on model operations, including all tasks necessary to turn a prototype into a production model, such as 1) packaging, 2) validation, 3) deployment, and 4) monitoring

5. 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

6. Act as a mentor to junior Data Science team members to share new techniques and maintain & enhance best practices

7. Willingness to explore new and custom solutions as required by KAGR clients

8. Special projects and assignments as business dictates

9. 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 that you have access or knowledge of, including but not limited to any state or federal regulations including HIPAA

-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