Data Scientist

Education/Experience Required: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field; 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline

Job Description:

• This role will partner with business leaders to solve complex operational and strategic challenges through analytics, machine learning, data engineering, and AI-driven solutions.
• The ideal candidate is a hands-on problem solver who can translate business needs into actionable insights and production-ready solutions.
• This position requires a blend of technical expertise, business acumen, and strong communication skills, with ownership spanning the full lifecycle from data exploration and model development to deployment and adoption.

Responsibilities:

• Partner with business stakeholders to identify opportunities for analytics, automation, and AI solutions
• Develop, deploy, and maintain machine learning models and advanced analytics solutions
• Design and build scalable data pipelines and data products
• Perform data analysis, feature engineering, forecasting, and statistical modeling
• Create dashboards, reports, and self-service analytics tools to support decision-making
• Monitor, improve, and support production analytics solutions
• Present findings and recommendations to both technical and non-technical audiences
• Drive measurable business impact through data-driven insights and operational improvements
• Collaborate with data engineers, analysts, and technology teams on enterprise initiatives

Skills & Qualifications:

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or related quantitative field
• 3+ years of experience in Data Science, Machine Learning, Analytics, or a related discipline
• Strong proficiency in Python and SQL
• Experience building and deploying production machine learning or analytics solutions
• Experience developing and maintaining data pipelines
• Strong knowledge of statistics, hypothesis testing, and model evaluation techniques
• Experience communicating analytical findings to business stakeholders
• Excellent problem-solving, analytical, and communication skills

Preferred Qualifications

• Experience with Databricks, Spark, or PySpark
• Experience with cloud platforms such as AWS or Azure
• Experience with Tableau, Power BI, or other data visualization tools
• Experience with modern data architectures and lakehouse environments
• Experience developing AI-enabled applications
• Familiarity with forecasting, optimization, customer analytics, pricing, or operational analytics