Data Scientist Senior

Are you ready to join a growing team?

CTG is seeking to fill a Data Scientist Senior opening for our client.

Location: Remote

• Duration: 6 months

Primary Responsibilities:

• - Analyze large and complex data sets to solve unstructured business problems using statistical, econometric, and machine learning techniques.
• - Source, ingest, clean, and prepare data for analysis while supporting scalable and reliable data processes.
• - Develop and implement complex statistical, econometric, and machine learning models, including classification, clustering, pattern analysis, sampling, simulations, and predictive modeling.
• - Develop champion/challenger models and refine models based on performance, reliability, stability, and business feedback.
• - Build and support self-healing model frameworks and promote models into production environments.
• - Create model outputs, visualizations, and educational materials to communicate business value and analytical results to stakeholders.
• - Collaborate with senior data scientists and business partners to develop research approaches and adapt analytical techniques to client needs.
• - Review code for accuracy, efficiency, quality, and adherence to development best practices.
• - Lead and mentor less experienced team members in developing consumable data and model outputs.
• - Participate in stakeholder discussions regarding analytical results, opportunities, concerns, and production challenges.
• - Identify and escalate risk-related issues and adhere to applicable risk, regulatory, audit, and internal control standards.

Scope of Responsibilities:

• - Work independently on complex data science initiatives involving large and diverse data sets.
• - Apply statistical analysis, econometrics, machine learning, and data engineering techniques to support business and product objectives.
• - Develop solutions using SQL, Python, Alteryx, Tableau, Power BI, and related analytical tools.
• - Support data quality, model stability, and production scalability across on-premises and cloud-based environments.
• - Collaborate with data scientists, business partners, and technical teams to translate analytical findings into actionable business solutions.

Supervisory/Managerial Responsibilities:

• - None. May provide technical guidance and mentorship to less experienced team members.

Education and Experience Required:

• - Bachelor’s degree and a minimum of 5 years of related experience; or, in lieu of a degree, a combined minimum of 9 years of higher education and/or work experience, including at least 5 years of related experience.
• - 5+ years of experience in data science, statistics, econometrics, quantitative analysis, or a related field.
• - Experience working with large and complex data sets.
• - Strong experience with statistical and data science principles, including A/B testing, sample selection, hypothesis testing, model validation, and bias analysis.
• - Proficiency with statistical software, programming languages, and analytical tools.
• - Intermediate SQL and NoSQL knowledge, with experience performing data ETL using SQL and Python.
• - Experience working with hybrid databases across on-premises and cloud environments.
• - Experience with modeling techniques such as Bayesian modeling, classification, clustering, neural networks, non-parametric methods, and multivariate statistics.
• - Experience developing data visualizations using Tableau and Power BI.
• - Experience with Alteryx.