Senior Data Science Associate
Salesforce
full-time
Posted on:
Location Type: Hybrid
Location: Bangalore • India
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Job Level
About the role
- 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
Requirements
- 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
Benefits
- Our benefits and resources support you to find balance and be your best
- Our AI agents accelerate your impact so you can do your best
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
prototyping AI solutionstesting machine learning modelsdata cleansingfeature engineeringclassical machine learningdeep learningLarge Language Modelsexperimenting in MLPythonshell scripting
Soft Skills
communication skillscollaborationtechnical guidance
Certifications
BS in quantitative disciplineMS in quantitative discipline