Senior Data Scientist (5 to 8 Years)
Fractal is seeking a Senior Data Scientist to lead a small team in delivering end-to-end data science projects. The role focuses on model development, industrialization through MLOps, and ensuring production-grade code standards. You will collaborate with product and BA teams while managing model tuning and deployment frameworks. The ideal candidate brings extensive cloud-based DS experience and strong software engineering principles.
50k new jobs listed every day. Install TAL to find more jobs like this.
Experience
5-8 years
Function
Research
Work mode
Hybrid, India
Company
Tier 2
What you will work on
Fractal is seeking a Senior Data Scientist to lead a small team in delivering end-to-end data science projects. The role focuses on model development, industrialization through MLOps, and ensuring production-grade code standards. You will collaborate with product and BA teams while managing model tuning and deployment frameworks. The ideal candidate brings extensive cloud-based DS experience and strong software engineering principles.
TAL's take
Solid tier-2 role with clear tech lead scope and established data science responsibilities.
Very well-defined responsibilities, clear leadership expectations, and specific technical stack requirements.
Salaries at Fractal
22.8 LPA average
Based on 82 Grapevine salary entries for Fractal.
Research
2 - 4 years | Grade 8
12 LPA average
Range: 12 - 12 LPA
Research
8 - 10 years | L7
15 LPA average
Range: 15 - 15 LPA
Engineering
0 - 2 years | 7.5+2
7 LPA average
Range: 7 - 7 LPA
Other roles
0 - 2 years | 7.5+2
7 LPA average
Range: 7 - 7 LPA
Must haves
- 6+ years of data science experience
- Strong knowledge of machine learning and statistical modeling
- Experience with Python, R, or Spark
- Proficiency in cloud environments (GCP, Azure, or AWS)
- Experience with BigQuery and version control using GitHub
Tools and skills
About the company
Fractal is a well-established global AI/analytics firm, though not a top-tier product unicorn.
Posts mentioning Fractal
🚀 Seeking Referrals: Product & Analytics Manager Roles
Hello folks! Quick Professional Snapshot (6.5 YOE) • Top-performing analytics professional with proven track record (awarded multiple times) • Expertise in building analytics-powered products • Strong client management across retail & pharma domains Looking for: • Product/Analytics Manager roles in Startups/Product based companies • Engagement Manager positions in Consulting Firms (Tiger, Fractal, MathCo, types) • Bangalore/Chennai/Remote/Hybrid opportunities • CTC Target: 45+ LPA (Min. 50% hike)
How is fractal as a company?
I want to know how fractal is for design teams and designers as an exposure, in close to closing an offer
Can anyone tell me what the interview process for Data Scientist/ML/ GEN AI Eng. in top product based companies are like?
I have 3 years of experience in data science and 2 years in Generative AI. I'm targeting top product-based companies like Mastercard, Visa, fractal and similar tech giants (not FAANG though) What is the typical interview process for Data Scientist/ML/ GEN AI roles at these companies, and what are the key differences in their focus (e.g., technical depth, behavioral, Gen AI-specific questions)? Or Are there company-specific preparation strategies I should consider?