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Job Title: Senior Data Scientist
Job Location: Bangalore, Chennai and Hyderabad
Job Description:
- Lead a small group of DS developers in collaborate/streamline data science work with product, BA, MLOps. Cover tasks in DS model development/redevelopment and support the deployment into multiple markets for production purpose.
- Leading the collaboration with MLOps to understand the need for industrialization, ensure smooth transition from DS development to industrialization by providing sufficient DS support.
- Code development/redevelopment planning, provide direct support to DS developers in the execution.
- Leading model tunning.
- Ensure proper code standard are enforced, complete documentation is created and strong code management through version control. Leading regular code review together with the data scientist project lead.
- Leading the testing/evaluation planning with the data scientist project lead. Establishing model evaluation and validation framework in the context of deployment. Creating standard test report structure.
- Ensure production grade code is developed and maintained for quick roll-out purpose. High level of transparency and replicability is achieved.
- Leading the planning of RCA for any issue identified.
- Creating the monitoring plan for production.
- Support the activities in the UAT with the end users.
- Working as the contingency resource for development to ensure timely delivery.
- Ensure a common code base is created for efficient roll-out in new market with highly modular architecture, well designed data abstraction, high configurability and high level of parameterization.
Technical Skills:
- Brings 6+ years of deep data science experience.
- Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon, Databricks
- Experience with programming languages such as Python, R, Spark
- Strong understanding of data structures, algorithms, and software design principles, highly sensitive to algorithm complexity.
- Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
- Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
- Strong experience in development planning.
- Good knowledge in coding standard, building re-useable 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 Fractal Data Science Professional Certificate" with this -https://www.coursera.org/professional-certificates/fractal-data-science
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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Outside India: [email protected]
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Skills Required
- 6+ years of experience in data science
- Strong knowledge of machine learning and statistical modeling
- Experience with GCP, Azure, Amazon, Databricks
- Proficiency in Python, R, Spark
- Experience with version control using GitHub
- B.E/B.Tech/M.Tech in Computer Science or a related field
Fractal Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.
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Healthcare Strength — Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
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Leave & Time Off Breadth — Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
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Flexible Benefits — Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.
Fractal Insights
What We Do
Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.






