What are the responsibilities and job description for the Data Scientist position at SoTalent?
Job Title: Data Scientist - Predictive Analytics
Location: Columbus, Ohio Metropolitan Area
Type: Full Time
Role Overview
This position centers on building and refining predictive models to enhance demand forecasting, including contact center and volume planning. You will collaborate with cross-functional teams to turn complex datasets into actionable insights that support workforce planning and overall business performance.
Key Responsibilities
- Analyze large and complex datasets to improve forecasting precision and operational planning
- Design, develop, and optimize statistical and predictive models for demand and contact center forecasting
- Apply time-series analysis, forecasting techniques, and scenario modeling to anticipate future demand trends
- Partner with stakeholders across operations, workforce management, and analytics to identify improvement opportunities
- Translate analytical findings into clear insights using data visualization and storytelling techniques
- Present results and recommendations to both technical and non-technical audiences
- Support workforce planning efforts by improving staffing models and operational efficiency
Qualifications
- Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience)
- Minimum of 4 years of experience in advanced analytics and data science roles
Core Skills & Experience
- Strong expertise in forecasting and statistical modeling, including time-series techniques
- Proficiency in Python (required) and experience working with R
- Advanced SQL skills and experience handling large datasets
- Solid foundation in applied mathematics, statistics, and data modeling
- Hands-on experience with cloud data platforms such as Databricks, Snowflake, or similar
- Ability to identify trends, analyze transactional data, and troubleshoot analytical challenges
- Experience creating visualizations and effectively communicating insights
- Comfortable working independently while collaborating with cross-functional teams
Preferred Qualifications
- Experience in contact center analytics, workforce planning, or operational forecasting
- Background in industries such as healthcare, pharma, biopharma, or insurance
- Exposure to machine learning techniques such as regression, segmentation, NLP, or decision trees
- Familiarity with cloud environments (e.g., Azure), automation tools, and model deployment practices
- Strong communication and stakeholder management skills
- Curious mindset with the ability to navigate ambiguity and continuously learn