Senior Data Scientist

Qualifications

Experience:

Position:

Key Responsibilities:

• Partner with business stakeholders to understand objectives and translate them into analytical frameworks
• Design and execute analyses that directly address business challenges using SQL, Python, and other analytical tools
• Develop data-driven recommendations that align with organizational goals and strategies
• Communicate complex findings in business terms that resonate with executives and decision-makers
• Identify business opportunities through proactive data exploration and analysis
• Build and validate statistical models that solve real business problems
• Influence product and business strategies through data-backed insights
• Serve as a bridge between technical and business teams, effectively translating between domains

Technical Skills

• Advanced SQL proficiency for complex data querying and manipulation
• Strong Python programming skills with focus on data analysis libraries
• Experience building and deploying statistical and machine learning models
• Data visualization and dashboard creation for business audiences
• Data cleaning, transformation, and feature engineering expertise

Business Skills

• Demonstrated ability to understand business objectives and translate them into analytical questions
• Experience working directly with business stakeholders to define key metrics and success criteria
• Skill in presenting technical findings in business terms and recommending actionable strategies
• Understanding of business operations, market dynamics, and competitive landscapes
• Ability to prioritize analytical work based on business impact

Qualifications

• 6+ years of experience in data science with demonstrated impact on business outcomes
• Bachelor's degree required, advanced degree in quantitative field preferred
• Track record of successful projects that combine technical excellence with business value
• Experience in collaborative environments working across business and technical teams

Personal Attributes

• Curious mindset that questions assumptions and explores beyond the obvious
• Strong communicator who can adapt message to different audiences
• Strategic thinker who connects data insights to broader business context
• Self-directed learner who stays current in both technical and business domains
• Comfortable navigating ambiguity and driving clarity through data