Senior Data Scientist Job in Salesforce

Senior Data Scientist

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Job Summary

Senior Data Scientist

Data | Hyderabad, India | Full-Time

About Salesforce

We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business.

Role Overview

We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives.

You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust.

Key Responsibilities

  • Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference).
  • Create algorithms for marketing spend optimization and ROI improvement across multiple channels.
  • Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning.
  • Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact.
  • Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks.
  • Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches.
  • Advocate responsible and ethical use of data and models in line with company policies.

Required Skills & Experience

  • Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.
  • 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity).
  • Extensive experience in experiment design and causal inference for business impact evaluation.
  • Strong programming skills in Python, R, PySpark, Java.
  • Expert-level SQL skills for large-scale data exploration and manipulation.
  • Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred.
  • Exceptional quantitative reasoning and ability to translate analysis into actionable business insights.
  • Excellent communication skills, capable of collaborating across diverse teams.
  • Creative problem-solving mindset with ability to simplify complex challenges.
  • Experience with B2B customer data and Salesforce products is a plus.

Why Join Salesforce?

  • Work on high-impact projects using state-of-the-art AI and analytics technologies.
  • Collaborate with top-tier data science and marketing experts.
  • Thrive in an innovative, inclusive culture that values Trust and continuous learning.
  • Drive real-world business transformation at a global scale.

If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply!


Qualification :
Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.
Experience Required :

Minimum 8 Years

Vacancy :

2 - 4 Hires

Apply Now