US - Staffing - IT Sr. Data Scientist

Customer Job

US - Staffing - IT Sr. Data Scientist

Job ID : 24-03644

Job Title Data Scientist

Client Location

Portsmouth, NH(Remote)

Duration

6 Months Contract

Pay Range-$42

$44 / hr on W2

Job Description :

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.

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

• 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 Client 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.
• Competencies typically acquired through a Master s degree (in Statistics, Mathematics, Economics, Actuarial Science, or other scientific field of study) and no professional experience or may be acquired through a Bachelor s degree and 3+ years of relevant experience.

Required :

Seasoned PhD level candidates. Strong communications skills, expected to communicate and influence business leaders and help stakeholders make favorable business decisions.

SME in predictive modeling and discussing cost benefits of presented solutions.