About
# About the Role Fortive is a global industrial technology leader that builds solutions to make the world safer, healthier, and more productive. With a portfolio spanning workplace safety, healthcare, predictive maintenance, and industrial automation, Fortive operates in more than 50 countries and serves Fortune 500 customers. The company’s culture is built around continuous learning, collaboration, and a relentless focus on delivering measurable impact for its clients. For fresh talent, Fortive offers a fast‑paced environment where you can work on real‑world problems, interact with senior engineers, and see the direct business outcomes of your work. The Associate Data Scientist role sits within Fortive’s Artificial Intelligence and Automation team in Bengaluru. This is an early‑career position designed for candidates with 0‑2 years of experience who have a solid grounding in statistics, machine learning, and Python programming. You will be part of a cross‑functional squad that partners with data engineers, ML engineers, and business stakeholders to turn raw data into actionable insights. The role blends traditional analytics with cutting‑edge Generative AI and Large Language Model (LLM) projects, giving you exposure to both classic predictive modeling and next‑generation AI‑driven solutions. # Key Responsibilities - Perform exploratory data analysis and data cleaning on large, heterogeneous datasets. - Develop, train, and evaluate supervised and unsupervised machine‑learning models using Scikit‑learn, TensorFlow, or PyTorch. - Build and maintain dashboards and visualizations to communicate insights to non‑technical stakeholders. - Design and run A/B tests or experiments to validate model impact on business metrics. - Prototype Generative AI use‑cases, including prompt engineering for LLMs. - Write efficient SQL queries to extract and transform data from relational databases. - Collaborate with data engineers to ensure data pipelines are reliable and scalable. - Document model assumptions, performance metrics, and deployment procedures. - Participate in code reviews and contribute to the team’s MLOps best practices. - Stay updated with emerging AI trends and suggest innovative applications for Fortive’s product suite. # Requirements - Proven foundation in statistics and machine learning. - Proficiency in Python and SQL. - Knowledge of data manipulation libraries such as Pandas and NumPy. - Experience with machine learning frameworks like Scikit‑learn, TensorFlow, or PyTorch. - Familiarity with cloud platforms (Azure, AWS, Google Cloud). - Passion for exploring Generative AI and LLMs. - Excellent communication skills to convey technical concepts to non-technical stakeholders. # Benefits - Join a blend of stability from a multinational corporation and the agility of a tech‑forward environment. - Work on high‑impact projects that directly influence Fortune‑500 customers. - Receive mentorship from seasoned AI professionals. - Attractive compensation package that includes a performance bonus. - Opportunities for continuous upskilling and career growth.
MATCH FREE