Data Scientist
4 days ago
Job Description:
We are seeking a highly motivated Data Scientist with 2–5 years of experience in machine learning to join our dynamic team. The ideal candidate will have a strong foundation in statistical modeling, data analysis, and machine learning algorithms, and will be passionate about solving real-world problems using data.
Key Responsibilities
- Design, develop, and deploy machine learning models to support business objectives.
- Analyze large datasets to uncover patterns, trends, and actionable insights.
- Collaborate with cross-functional teams to integrate models into production systems.
- Conduct A/B testing and model validation to ensure performance and reliability.
- Communicate findings and recommendations to stakeholders through reports and visualizations.
- Maintain and optimize existing ML pipelines and workflows.
Required Skills
- Proficiency in Python or R, with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong SQL skills and experience with data manipulation tools (e.g., Pandas, NumPy).
- Solid understanding of supervised and unsupervised learning techniques.
- Experience with cloud platforms (AWS, Azure, or GCP) for model deployment.
- Familiarity with version control tools like Git.
- Ability to visualize data using tools like Matplotlib, Seaborn, or BI platforms (Tableau, Power BI).
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
- Relevant certifications in machine learning or data science are a plus.
Preferred Attributes
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
- Experience working in domains such as finance, healthcare, retail, or marketing analytics.
- Passion for continuous learning and staying updated with the latest ML trends.
- Ability to work independently and manage multiple projects simultaneously.
Job Types: Full-time, Permanent
Pay: ₹500, ₹700,000.00 per year
Benefits:
- Health insurance
- Leave encashment
Work Location: In person
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