Data Scientist at Numrah

Work set-up: 
Full Remote
Contract: 
Experience: 
Entry-level / graduate
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Statistics, Data Science, Computer Science, or related field., At least 2 years of experience in product analytics, experimentation, or applied statistics., Strong knowledge of statistical inference, hypothesis testing, and regression models., Proficiency in SQL and Python (or R), with experience analyzing large-scale data..

Key responsibilities:

  • Design and evaluate controlled experiments (A/B tests) and quasi-experiments.
  • Build and maintain automated pipelines for experiment tracking, analysis, and reporting.
  • Identify key metrics, set success criteria, and analyze trade-offs in product features.
  • Collaborate with cross-functional teams to promote data-informed decision-making.

Numrah logo
Numrah Startup https://numrah.com/
11 - 50 Employees
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Job description

We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you’ll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.

Responsibilities
  • Design and evaluate controlled experiments (A/B tests) and quasi-experiments to inform product and business decisions.

  • Build and maintain automated pipelines for experiment tracking, analysis, and reporting.

  • Identify metrics, set success criteria, and quantify trade-offs in product features and changes.

  • Partner with cross-functional teams to embed a culture of data-informed decision-making.

  • Present findings to stakeholders with clarity, making statistical results actionable for the business.

Qualifications
  • Bachelor’s in Statistics, Data Science, Computer Science, or related field.

  • 2+ years of experience in product analytics, experimentation, or applied statistics.

  • Solid knowledge of statistical inference, hypothesis testing, power analysis, and regression models.

  • Proficient in SQL and Python (or R), with experience analyzing large-scale data.

  • Strong data visualization skills; able to tell compelling stories with data.

  • Experience working closely with product or engineering teams in fast-paced environments.

Bonus Points
  • Experience with experimentation platforms or custom A/B testing frameworks.

  • Familiarity with online metrics, feature rollouts, or cohort-based analyses.

  • Exposure to techniques such as CUPED, variance reduction, or sequential testing.

Required profile

Experience

Level of experience: Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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