- Employment type: Full Time
- Experience: 8+ years
- Salary: 7.5L to 10L Yearly
- Location: Work For Home
- Work timing: 9:45 AM to 6:45 PM IST
- Working Days: 5 Days
- Education: Any Degree
Responsibilities
• Develop and deploy machine learning, deep learning, and predictive models.
Perform statistical analysis, data mining, and feature engineering on large datasets.
Build and optimize data pipelines and ETL workflows.
Collaborate with data engineers and business stakeholders to deliver actionable insights.
Create compelling data visualizations using tools like Tableau, Power BI, Matplotlib, or Plotly.
Implement MLOps practices, including CI/CD, model monitoring, and lifecycle management.
Mentor junior data scientists and contribute to team knowledge-sharing.
Stay current with trends in AI/ML and data science.
SKILLS
Must have
• Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch.
Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems.
Strong background in statistical analysis, data mining, and feature engineering for large-scale structured and unstructured datasets.
Experience working with big data platforms (Spark, Hadoop) and integrating with cloud environments (AWS, Azure, GCP).
Proficiency in building data pipelines, ETL workflows, and collaborating with data engineers for scalable data solutions.
Expertise in data visualization and storytelling using Tableau, Power BI, Matplotlib, Seaborn, or Plotly to present insights effectively.
Strong knowledge of MLOps practices, including CI/CD pipelines, model deployment, monitoring, and lifecycle management.
Ability to engage with business stakeholders, gather requirements, and deliver actionable insights aligned with business goals.
Experience in mentoring junior data scientists/analysts, leading projects, and contributing to knowledge-sharing across teams.
Continuous learner with strong problem-solving, communication, and leadership skills, staying updated with the latest trends in AI/ML and data science.
