Senior Data Scientist at Fractal

Short Description:

The company is seeking a Senior Data Scientist for multiple locations, including Bengaluru, Pune, Mumbai, Gurgaon, and Chennai. The role involves leading a team of DS developers, collaborating with product, BA, and MLOps teams to streamline data science work. Responsibilities include DS model development, deployment support, and collaboration with MLOps for industrialization. The Senior Data Scientist will lead code development, enforce standards, and ensure the creation of a common code base for efficient roll-out. Technical skills required include 5+ years of data science experience, proficiency in machine learning, programming languages, and experience with cloud platforms. Non-technical skills such as solution designing and critical thinking are valued, and candidates with an E-commerce domain understanding are preferred. Education requirements include a degree in Computer Science or a related field, with the completion of the Fractal Data Science Professional Certificate recommended. Interested candidates are encouraged to express interest in future opportunities.

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Time Type: Full time

Job Requisition ID: SR-20205

Job Title: Senior Data Scientist

Job Location: Bangalore, Pune, Mumbai, Gurgaon, Chennai

Job Description:

As a Senior Data Scientist, you will lead a cohesive team of DS developers to streamline collaborative efforts in data science alongside product, Business Analysis (BA), and MLOps teams. Your responsibilities will encompass tasks related to DS model development and redevelopment, as well as supporting deployment across multiple markets for production purposes.

Your key responsibilities will include:

• Leading collaboration with MLOps to comprehend industrialization needs and ensuring a smooth transition from DS development to industrialization by offering ample DS support.
• Planning and executing code development/redevelopment, providing direct support to DS developers, and leading model tuning.
• Enforcing proper code standards, comprehensive documentation, and robust code management through version control. Leading regular code reviews with the data scientist project lead.
• Leading testing/evaluation planning with the data scientist project lead, establishing a model evaluation and validation framework in the deployment context, and creating a standard test report structure.
• Ensuring the development and maintenance of production-grade code for swift roll-out purposes, emphasizing high transparency and replicability.
• Leading the planning of RCA (Root Cause Analysis) for any identified issues and creating a monitoring plan for production.
• Supporting activities in the User Acceptance Testing (UAT) phase with end-users.
• Serving as a contingency resource for development to ensure timely delivery.
• Establishing a common code base for efficient roll-out in new markets with a highly modular architecture, well-designed data abstraction, high configurability, and a high level of parameterization.

Technical Skills:

• 5+ years of profound data science experience.
• Strong knowledge of machine learning and statistical modeling techniques in a cloud-based environment (GCP, Azure, Amazon, Databricks).
• Proficiency in programming languages such as Python, R, and Spark.
• Solid understanding of data structures, algorithms, and software design principles, with a keen sensitivity to algorithm complexity.
• Experience with GCP platforms and services, including BigQuery, Cloud ML Engine, and Cloud Storage.
• Expertise in configuring and setting up version control on Code, Data, and Machine Learning Models using GitHub.
• Strong experience in development planning.
• Good knowledge of coding standards and building reusable services.
• Experience in end-to-end data science project delivery.

Non-Technical Skills:

• Solution Designing
• Critical Thinking
• Ecommerce Domain Understanding (Good to Have)

Education:

• B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.
• Recommended: completion of the Fractal Data Science Professional Certificate link.

If you thrive in an environment of dynamic growth and enjoy collaborating with enthusiastic over-achievers, your career with us promises excitement and fulfillment.

If this opportunity doesn't align perfectly with your aspirations, express your interest in future opportunities by clicking "Introduce Yourself" in the top-right corner of the page or create an account to set up email alerts for new job postings that match your interests!

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