Staff Data Scientist (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

20 Jan, 26

Salary

0.0

Posted On

22 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI, Machine Learning, Generative AI, AWS, Databricks, LangChain, LangGraph, Python, SQL, Big Data, Spark, Hadoop, Model Deployment, Team Management, Mentoring

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist in India. In this role, you will lead advanced data science initiatives that integrate cutting-edge AI and machine learning into core products, driving actionable insights and strategic business decisions. You will collaborate closely with cross-functional teams, including product managers, engineers, and analysts, to design and implement scalable GenAI and agentic AI solutions. Your work will directly influence the roadmap of data initiatives, optimize end-to-end data processes, and enhance the performance of AI models across multiple domains. This is an opportunity to apply your deep technical expertise while shaping the data strategy in a fast-growing, innovative environment. You will mentor and lead other data scientists, ensuring best practices and technical excellence across the team. The role combines hands-on technical work with leadership responsibilities, delivering high-impact solutions in a rapidly scaling organization. Accountabilities Design, implement, and optimize end-to-end generative AI (GenAI) and agentic AI solutions using tools like AWS Bedrock, Databricks, LangChain, and LangGraph. Build and maintain Retrieval-Augmented Generation (RAG) pipelines, multi-agent workflows, and robust machine learning models. Collaborate with ML engineers to deploy models, establish CI/CD pipelines, and implement observability, monitoring, and drift detection. Work closely with product and business teams to prioritize data initiatives and align AI projects with company OKRs. Lead cross-functional teams, manage work allocation, run scrum ceremonies, and track team performance metrics. Identify data challenges, propose innovative solutions, and embed data science initiatives into multiple products. Ensure model reliability, prevent overfitting, and maintain operational integrity across AI systems. 10+ years of experience in software development or machine learning, with 4+ years in product management and at least 2 years leading data-focused initiatives. Hands-on expertise in building scalable multi-agent AI workflows and generative AI systems. Deep understanding of RAG pipeline design, prompt engineering, and fine-tuning techniques for LLMs. Experience with quantitative and qualitative evaluation of AI/ML systems, including benchmarking and performance assessment. Strong knowledge of big-data technologies (Spark, SparkML, Hadoop) and cloud platforms (AWS preferred). Proven experience managing and mentoring teams of data scientists and engineers. Proficiency in Python, SQL, and data engineering concepts; familiarity with feature stores (e.g., Tecton) and model observability tools (e.g., Fiddler). Excellent leadership, communication, and stakeholder management skills, with the ability to work in a fast-paced, rapidly evolving environment. Self-starter mindset with the ability to navigate ambiguity and deliver innovative solutions. Competitive salary and stock options. Comprehensive self and family health insurance, term and life insurance, OPD benefits, and mental wellbeing support. Flexible working arrangements under a Work Out of Office (WOO) policy, including remote work options. Learning and development budget, including support for professional growth and training. Work-from-home setup allowance. Paid leave including 15 privilege days, 12 casual days, 12 sick days, and 3 days for volunteering or learning activities. Inclusive, diverse, and collaborative culture fostering transparency, creativity, and innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. This process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Lead advanced data science initiatives integrating AI and machine learning into core products. Collaborate with cross-functional teams to design and implement scalable AI solutions that drive actionable insights.