[Hiring] Senior Data Scientist @Computer Task Group, Inc

Role Description

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.

Qualifications

• 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.

Education and Experience Preferred

• Master’s or Doctorate degree in Statistics, Economics, Finance, or a related quantitative discipline.
• Advanced knowledge of econometric and statistical techniques, including time-series analysis, panel data methods, and logistic regression.
• Strong experience with statistical programming languages, software, and analytical tools.
• Experience developing and productionizing machine learning models in enterprise environments.
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

To Apply

To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!

The expected base salary for this position ranges from $43.06 - $71.76/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.