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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Proactively reviews technical literature, learns a new methodology and aligns with Data Science leaders.
- Works with Data Science leaders to develop new innovative solutions to existing or new business challenges.
- Identifies business need, aligns with key stakeholders, organizes analytics team, seamlessly connects model findings to business strategy, and generates recommendations that fit business reality.
- Defines and implements models to uncover patterns and predictions creating business value and innovation.
- Leads complex cross-organizational project, which involves several Data Scientists.
- Provides guidance, training and mentoring to less experienced staff members.
- Develops clear presentations for senior decision makers including case for change, options, trade-offs and recommendation.
- Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Requirements
What you’ll need- 6-10 years of relevant work experience
- Bachelor's, master's or Ph.D. degree in Mathematics, Economics, Physics, Computer Science, or equivalent
- Extensive experience using statistics, mathematics, algorithms, and programming languages to solve business problems
- Experience in test design and measurement, customer segmentation, cleanroom technology, MTA, and MMM
- Proficient in Python and SQL
- Excellent written and verbal communication skills; mastery in English
Benefits
Comp & perks- Ongoing training and educational opportunities
- Strong internal mobility program
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
statisticsmathematicsalgorithmsPythonSQLtest designmeasurementcustomer segmentationcleanroom technologyMTA
Soft Skills
communicationmentoringguidancepresentation skillsorganizational skills
Certifications
Bachelor's degreeMaster's degreePh.D. degree
