Data Science Senior Associate
Salesforce
Salesforce is hiring talented professionals for the position of Data Science Senior Associate in India - Bangalore. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Data Science Senior Associate |
| Location: | India - Bangalore |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
🚀 Why Data Science Senior Associate is a Strategic Career Move in 2026
Joining Salesforce as a Data Science Senior Associate offers excellent growth prospects. Here's why this role is trending:
- Companies are aggressively hiring for AI/ML roles in Bangalore and Hyderabad.
- Data Science is labeled the 'Sexiest Job of the 21st Century'.
Industry Insight: Data Scientist roles in India - Bangalore are currently seeing high demand.
Organization / Company Name
Salesforce
(See full description for company details)
🎯 How to Prepare for Data Science Senior Associate Role
To crack the interview at Salesforce, focus on the following:
- Practice SQL queries for data extraction and manipulation.
- Master Python libraries: Pandas, NumPy, Scikit-learn, and TensorFlow.
- Understand the basics of MLOps and model deployment.
Important Dates
- Posted On: 29 March 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
DataJob Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is the global leader in Cloud-based (SaaS) solutions that enable the world’s premier brands to maintain a robust online presence with high ROI. We do this by providing a highly scalable, integrated cloud platform that allows our clients to rapidly launch and manage e-commerce stores, initiate unique marketing campaigns, build service agents, and drive customer traffic across a global footprint.
We are looking for a top-notch AI scientist to join our applied science team. The team is tasked with building, optimizing, and innovating across a number of product lines including agentic enterprise search, commerce cloud, and salesforce personalization. We produce performant machine learning models, architect components to improve our agents, build benchmarks, and tune prompts to enhance relevance, personalization, and efficiency. Our goal is to deliver better shopper experiences as well as enterprise user experiences. We work on search agents, retrieval strategies, product recommendations, content and promotion selection, next-best-action, and much more.
In this role, you will utilize frontier foundational models as well as open-source models for real-world use cases. You will research, design, and prototype in close collaboration with engineering and product teams, learning from customer deployments. This is a collaborative, agile team that values technical ownership and customer value. We are looking for someone who gets a kick out of staying on top of the latest AI literature, tools, and techniques, and figuring out the best way to apply them to practical solutions. We encourage contribution to tools and knowledge sharing within the team, the company, and the industry.
Responsibilities
Work with product management and leadership to translate business problems into applied science problems.
Research, prototype, and build demonstrations of AI ideas for quick validation and feedback.
Design and build AI systems to hit accuracy and performance metric targets.
Productize AI innovations in collaboration with engineering teams.
Educate engineering and product teams about AI science during collaboration.
Actively collaborate with and provide technical guidance to other members of the team.
Share technical innovations with the team and across the company.
Create innovations and contribute to conferences and/or open-source tools.
Required Qualifications
Fluent in prototyping AI solutions, testing machine learning (ML) models, and wrangling small to medium datasets (e.g., data cleansing, feature engineering).
BS/MS in a quantitative discipline with 2+ years of relevant experience.
Expertise in classical machine learning, deep learning, and Large Language Models (LLMs).
Avid experimenter in ML, LLMs, and agent systems, with a focus on innovating current AI solutions.
Proficient in using Python scientific stack (e.g. Numpy, Pandas, PyTorch, SciPy, Jupyter).
Proficient in shell scripting, Unix/Linux command-line tools, working with cloud infrastructure (AWS).
Great communication skills: ability to discuss with scientists, engineers, designers, and product managers.
Preferred Qualifications
Ph.D. with 1+ years of relevant experience.
Deep knowledge of Reinforcement Learning, Deep Learning, Causal Inference, and Information Retrieval.
Experience in building and shipping machine learning models and agent systems to production.
Practical experience with MLOps best practices, including model serving, monitoring, and A/B testing in a production environment.
Open-source machine learning code, project contributions, or implementations of published papers.
Publications in any of {cvpr, iccv, eccv, neurips, iclr, icml, acl, emnlp, recsys, kdd}.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
Educational Qualification
Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.
Age Limit
As per company rules. Generally, candidates should be at least 18 years of age.
Salary / Pay Scale
Best in Industry / Not Disclosed by Company.
Application Fee
NIL (No application fee for private jobs).
Selection Process
- Resume Shortlisting
- Online Assessment / Technical Round
- HR Interview
- (Process may vary by company)
How to Apply
Interested and eligible candidates can apply online using the link provided below.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of Salesforce.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
Important Instructions
- Read the full job description on the official site before applying.
- Ensure your resume is updated and matches the job requirements.
- Check your email regularly for updates after applying.
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
Disclaimer: This job posting is for information purposes only. We are not associated with Salesforce directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.
