Principal Data Science

Role: Principal Data Science Engineer

Exp: 10+ Years

Location: Remote

Notice Period: 30 Days Max

Key Responsibilities:

• Model Development and Implementation:

• Design, develop, and deploy advanced data science models and algorithms.

• Ensure models are scalable, maintainable, and optimized for performance.

• Leadership and Mentorship:

• Lead and mentor a team of data scientists and engineers, providing technical guidance and support.

• Foster a culture of continuous learning and innovation within the team.

• Collaboration:

• Work closely with product managers, engineers, and business stakeholders to understand data requirements and deliver solutions.

• Collaborate with data engineering teams to ensure seamless integration of data science models into production systems.

• Research and Innovation:

• Stay current with the latest advancements in data science and machine learning.

• Evaluate and implement new tools, techniques, and technologies to enhance our data science capabilities.

• Data Analysis and Insight Generation:

• Conduct exploratory data analysis to uncover trends, patterns, and insights.

• Translate complex data into actionable insights and recommendations for business stakeholders.

• Project Management:

• Lead data science projects from conception to completion, ensuring timely delivery and high-quality results.

• Develop project plans, timelines, and resource allocation.

Qualifications:

• Education and Experience:

• Bachelor’s or master’s degree in computer science, Statistics, Mathematics, or a related field.

• 10+ years of experience in data science, with a proven track record of developing and deploying advanced models.

• Technical Skills:

• Experience with Databricks

• Proficiency in programming languages - Python, Pyspark.

• Extensive experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).

• Strong knowledge of statistical analysis, data mining, and predictive modelling. Machine learning algorithms (supervised/unsupervised/deep learning). Model evaluations & validation.

• Experience with big data technologies (e.g., Hadoop, Spark)

• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their data services. AWS knowledge is must.

• Docker, Kubernetes

• Any DB experience, SQL query writing and optimization

• Soft Skills:

• Excellent problem-solving and analytical skills.

• Strong communication and interpersonal skills.

• Ability to work effectively in a fast-paced, dynamic environment.

Job Type: Permanent

Pay: ₹3,000,000.00 - ₹5,000,000.00 per year

Experience:

• total work: 10 years (Required)

• Machine Learning Frameworks: 3 years (Required)

• Machine learning algorithms: 3 years (Required)

• Big Data Technologies: 2 years (Required)

• Cloud Platforms (e.g., AWS, GCP, Azure): 2 years (Required)

• AWS: 1 year (Required)

• Docker/Kubernetes: 3 years (Required)

• Database: 3 years (Required)

• Python: 2 years (Required)

• Pyspark: 2 years (Required)