Senior Data Scientist
Ciklum (company site, opens in a new tab)5+ yrsRemoteDirect career pageEst. 12–25 LPA
Posted on 21 Sept
Reach people at Ciklum
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Ciklum you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own and enhance core analytical statistical models and algorithms written in R, including reverse engineering and modernization.
- Design, build, and deploy new predictive models and analytical features to address complex business challenges.
- Lead code quality improvements, ensure production readiness, and collaborate with Data Engineering to deploy models and translate insights for stakeholders.
Minimum Requirements
- Master's or Ph.D. in Statistics, Applied Mathematics, Computer Science, Data Science, or related quantitative field.
- 5+ years professional experience in data science, statistical modeling, or quantitative research.
- Expert proficiency in R programming, including tidyverse and advanced statistical/modeling packages.
- Deep practical knowledge of applied statistics techniques such as hypothesis testing, regression, time-series, mixed-effects, or Bayesian methods.
Ideal Candidate Profile
- Experienced in auditing and optimizing complex R codebases with measurable algorithmic improvements.
- Capable of mentoring junior data scientists and driving technical excellence within the team.
- Able to communicate complex statistical concepts effectively to both technical and executive audiences.