IT Senior Data Scientist

Job Title : IT Senior Data Scientist (Remote)

No CC; 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.
30+ days ago