Work on product analytics and data science initiatives with a strong focus on experimentation including A/B testing causal inference and synthetic control methods to drive data-informed product decisions.
Utilize advanced SQL and Python (must-have) to analyze large datasets build analytical frameworks and deliver actionable insights for product and business stakeholders.
Apply supervised and unsupervised learning techniques (e.g. linear/logistic regression clustering) to solve complex product and growth problems.
Manage and mentor analytics/DS team members collaborate effectively with cross-functional stakeholders and demonstrate thought leadership in product analytics strategy.
Exhibit strong proactiveness enthusiasm and the ability to quickly learn and implement new methodologies in a fast-paced environment.
Requirements
- Tech Skills: SQL Python (must have)
- Primary skills: product analytics focused A/B testing causal inference synthetic control etc.
- Secondary skills: supervised and unsupervised learning (regression logistic regression clustering etc.)
- Experience level: 5 years led teams managing stakeholders well good thought leadership on product analytics.)
Benefits
Perks and benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Required Skills:
Tech Skills: SQL Python (must have) Primary skills: product analytics focused A/B testing causal inference synthetic control etc. Secondary skills: supervised and unsupervised learning (regression logistic regression clustering etc.) Experience level: 5 years led teams managing stakeholders well good thought leadership on product analytics.)
Work on product analytics and data science initiatives with a strong focus on experimentation including A/B testing causal inference and synthetic control methods to drive data-informed product decisions.Utilize advanced SQL and Python (must-have) to analyze large datasets build analytical framework...
Work on product analytics and data science initiatives with a strong focus on experimentation including A/B testing causal inference and synthetic control methods to drive data-informed product decisions.
Utilize advanced SQL and Python (must-have) to analyze large datasets build analytical frameworks and deliver actionable insights for product and business stakeholders.
Apply supervised and unsupervised learning techniques (e.g. linear/logistic regression clustering) to solve complex product and growth problems.
Manage and mentor analytics/DS team members collaborate effectively with cross-functional stakeholders and demonstrate thought leadership in product analytics strategy.
Exhibit strong proactiveness enthusiasm and the ability to quickly learn and implement new methodologies in a fast-paced environment.
Requirements
- Tech Skills: SQL Python (must have)
- Primary skills: product analytics focused A/B testing causal inference synthetic control etc.
- Secondary skills: supervised and unsupervised learning (regression logistic regression clustering etc.)
- Experience level: 5 years led teams managing stakeholders well good thought leadership on product analytics.)
Benefits
Perks and benefits:
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Required Skills:
Tech Skills: SQL Python (must have) Primary skills: product analytics focused A/B testing causal inference synthetic control etc. Secondary skills: supervised and unsupervised learning (regression logistic regression clustering etc.) Experience level: 5 years led teams managing stakeholders well good thought leadership on product analytics.)
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