Posted:3 days ago|
Platform:
On-site
Full Time
Data Science Engineer Experience Required: 3+ Years
No. of Positions: 1 Role Overview
We are seeking a highly skilled and motivated Data Science Engineer to join our Mumbai-based team. This role demands a strong foundation in statistical analysis, machine learning, and data engineering, with a focus on delivering actionable insights and scalable models. The ideal candidate will be passionate about data, fluent in Python or R, and experienced in agentic AI systems.
Key Responsibilities
Develop and deploy predictive models using advanced statistical and machine learning techniques
Perform data wrangling, cleaning, and transformation to prepare datasets for analysis
Conduct exploratory data analysis (EDA) and feature engineering to enhance model performance
Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions
Visualize complex data and model outputs using tools like Matplotlib, Seaborn, Plotly, or ggplot2
Communicate insights and recommendations clearly to both technical and non-technical stakeholders
Integrate agentic AI capabilities into data science workflows where applicable
Required Skills & Qualifications
Mandatory requirements - Classical ML, AgenticAI, DataBricks
Minimum 3 years of hands-on experience in data science or machine learning roles Proficiency in Python or R for data manipulation, modeling, and visualization
Strong understanding of statistical concepts, supervised and unsupervised learning algorithms Experience with agentic AI systems or frameworks is a strong plusFamiliarity with cloud platforms (AWS, GCP, Azure) and version control tools (Git)Excellent communication and presentation skills
Preferred Attributes
Ability to work independently in a fast-paced, onsite environment
Strong problem-solving mindset and attention to detailPassion for continuous learning and staying updated with emerging AI trends
Job Type: Full-time
Pay: ₹800,000.00 - ₹1,500,000.00 per year
Benefits:
Application Question(s):
Experience:
Location:
Work Location: In person
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