Associate Data Scientist

What you will do:

1. Provide ad hoc modeling and analytical insights to inform strategic and operational initiatives
2. Conduct all phases of the analytics process. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, model development, model validation, model operationalization, presentation of results and insights, model implementation, model documentation
3. Convert “top-down” business initiative requirements into actionable data analytics projects as well as conceiving and proposing “bottom-up” analytics innovations
4. Communicate technical solutions and results to business stakeholders
5. Partner with business stakeholders, IT, Project Management and lead the design and delivery of innovative analytics solutions
6. Inject the most applicable technology, including Machine Learning, Artificial Intelligence, Natural Language Processing and Statistical Modeling

What you will need:

1. 0-3 years data modeling experience in a business environment. Candidate with only internship experience is required to have Masters’ in Data Science/AI/ML. Candidates with 1-3 years of Data Science experience with Bachelor’s degree or Master’s degree in Statistics, Data Science, Computer Science or related field
2. In-depth knowledge of statistical principles and their application in modeling and data analysis
3. Experience developing and applying descriptive, predictive, prescriptive models
4. In-depth NLP knowledge and application experience
5. Expertise in Python, SQL, Spark. Basic skills in PBI, Excel, Power Point
6. Experience with multiple modeling techniques such as: Time Series, Random Forests, Clustering, Neural Networks, Generalized Linear Models, Optimization, DOE, Dimensionality Reduction
7. Experience with churn analysis, profiling, recommendation systems
8. MLOps experience (implementing models/algorithms into production systems)
9. Ability to work in a fast-paced environment and deliver against milestones
10. Excellent communication skills in technical and business domains
11. Proven ability to influence key stakeholders and leaders