Data Scientiest
22 hours ago
Analyzes complex data to extract insights, build predictive models, and support data-driven decision-making.
Key Responsibilities:
- Perform exploratory data analysis and feature engineering.
- Build statistical and machine learning models.
- Present insights through visualizations and reports.
- Collaborate with cross-functional teams to define data strategies.
- Research and apply new data science methods.
Required Skills:
- Proficiency in Python, R, or Scala.
- Strong statistical and mathematical skills.
- Knowledge of ML algorithms and data wrangling.
- Experience with big data tools (Spark, Hadoop).
- Data visualization skills (Tableau, Power BI).
Experience:
3–6 years in data science or analytics.
