Job Details
Job Title: IT Senior Data Scientist (Remote)
** No C2C; Must be US citizen or permanent resident **
Job Introduction:
- The Technology Data Science & Data Governance team is looking for a highly motivated Data Scientist to join at an exciting time as we embark on developing AI/ Machine Learning tools to support Technology Enablement portfolios, employee digital experience and productivity across all Lines of Business.
- This person will collaborate closely with Technology teams, LOB Operations, other Data Scientists, and IT Product owners.
- They will leverage data and advanced techniques to develop, implement and analyze predictive models that enable data-driven, strategic decision-making.
- This role requires expertise in a broad range of predictive analytics techniques and their application to business opportunities - both, large impact and smaller "quick hits" complex engagements.
- A successful candidate will be organized, creative, and interested in solving business problems using data and analytics.
- They will have the right mix of analytical, technical, and communication skills to thrive in a fast-paced environment.
Role Summary: - Gains experience in collaborating with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making.
- Utilizes data science techniques to manipulate large structured and unstructured data sets, identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
- Focus at this level is on gaining industry knowledge, development of predictive analytics techniques, some experience in developing GenAI/LLM based tools, and obtaining experience in storytelling with data.
Job Responsibilities: - Applies data science techniques; gains confidence in skill application using analytics and data science techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions.
- Identifies and tests hypotheses, ensuring statistical significance, as part of building predictive models for business application and desire to develop GenAI/LLM (OpenAI) based tools.
- Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data.
- Gains experience in enabling the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes.
- Assists in customizing analytic solutions to specific client needs.
- Responsible for smaller components of projects considered low to moderate complexity and may work on smaller components of complex projects.
- Engages with the Data Science community. Participates in cross functional working groups.
Preparation, Training & Experience: - PHD degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study)
- SME in predictive modeling and discussing cost benefits of presented solutions.
- Data extraction and manipulation skills, EDA, transformations, comfort manipulating and analyzing high-volume, high-dimensionality data from varying sources.
- Experience developing algorithms and products with generalized linear models (GLM), clustering (KNN), Random Forest, XGBoost, time series (ARIMA), NLP, Process and Pattern Mining using popular frameworks, Python (Pandas, Numpy, scikit-learn, PyTorch), SQL, Spark, TensorFlow, project versioning in git.
- Foundational knowledge of predictive analytics tools.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Has a value driven perspective with regard to understanding of work context and impact.