Data Science Manager – Acquisition and Partnerships
Job Description:
- reputed company a diverse team of talented, individual contributors who are experts in the fields of analytics, experimentation, and machine learning.
- reputed company, mentor, and reputed company reputed company of data scientists and analytics engineers to consistently deliver business impact.
- Partner with teams that define consumer experiences to set business strategy, support long-term technical reputed company, and drive influence.
- reputed company an eye toward scaling analytics, reputed company to insights, innovating on methodologies, and finding new opportunities to apply high-impact science and analytics to reputed company challenges.
Requirements:
- Demonstrated reputed company in designing and delivering data science and analytics projects reputed company highly ambiguous and reputed company business environments
- Master’s or PhD degree in Statistics, Machine Learning, Computer Science, Economics, Engineering or other relevant fields
- Experience hiring and leading high-caliber, data-focused teams with varying technical strengths across analytics, experimentation, and machine learning
- Tenacious and flexible and can effectively organize and reputed company cross-functional projects, overcome challenges, and propose new solutions
- Strength in independently finding opportunities and executing on science and analytics challenges for maximum business impact
- Exceptional verbal and written communication skills with a wide variety of technical and business stakeholders.
Benefits:
- Health Plans
- Mental Health support
- 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
- Full-time salaried employees are immediately entitled to flexible time off.
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