About the role
structured by ORIExperience: 1-2 years of experience. We are hiring a Data Scientist with 1 - 2 years of experience on behalf of our client.
What you will do
- Clean, process, and analyze structured and unstructured data from multiple sources
- Build and maintain dashboards and reports to track key business metrics
- Develop and evaluate basic machine learning models (classification, regression, clustering, etc.)
- Assist in designing and analyzing A/B tests and experiments
- Collaborate with product and engineering teams to define data requirements
Nice to have
- 1 - 2 years of experience in a data science, analytics, or related role (internships count)
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
- Proficiency in Python or R, and strong SQL skills
- Familiarity with common ML libraries (scikit-learn, pandas, numpy)
- Basic understanding of statistics and experimental design
- Experience with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn)
- Strong problem-solving skills and attention to detail
- Good communication skills able to explain technical concepts simply
Full posting text
Experience: 1-2 years of experience.
We are hiring a Data Scientist with 1 - 2 years of experience on behalf of our client. This role involves working closely with the client's product, engineering, and business teams to analyze data, build models, and support data-driven decision-making. It's a great opportunity for someone early in their career who's eager to grow, comfortable working with data day-to-day, and able to communicate findings clearly to non-technical stakeholders.
Role & responsibilities
Clean, process, and analyze structured and unstructured data from multiple sources
Build and maintain dashboards and reports to track key business metrics
Develop and evaluate basic machine learning models (classification, regression, clustering, etc.)
Assist in designing and analyzing A/B tests and experiments
Collaborate with product and engineering teams to define data requirements
Translate business questions into analytical approaches and present findings clearly
Write clean, well-documented code (primarily Python/R and SQL)
Support senior data scientists on larger projects and model deployment
Preferred candidate profile
1 - 2 years of experience in a data science, analytics, or related role (internships count)
Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related field
Proficiency in Python or R, and strong SQL skills
Familiarity with common ML libraries (scikit-learn, pandas, numpy)
Basic understanding of statistics and experimental design
Experience with data visualization tools (Tableau, Power BI, or Matplotlib/Seaborn)
Strong problem-solving skills and attention to detail
Good communication skills able to explain technical concepts simply
Curiosity and willingness to learn new tools and techniques
Key skills: Excel, Data Visualization, Python, Matplotlib, A/B Testing, Data Wrangling, Power BI, Probability, Hypothesis Testing, Regression, Tableau, Clustering, Statistics, Machine Learning, NumPy, SQL, Exploratory Data Analysis (EDA), R, Pandas, Classification, Seaborn, Data Cleaning.
Role: Data Science & Analytics - Other
Industry Type: Recruitment / Staffing
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Analytics - Other
Education: UG: Any Graduate
Education: PG: Any Postgraduate