Associate Data Scientist

Fortive’s interview process typically starts with a timed online coding test focusing on Python and SQL fundamentals, followed by a technical interview where candidates discuss their ML projects, solve case‑based problems and demonstrate problem‑solving approach. The final HR round assesses cultural fit, communication skills and career aspirations. Preparation should include strong command over data‑science fundamentals and clear articulation of project impact.

Fortive promotes a collaborative, learning‑centric culture where employees are encouraged to experiment and share knowledge. The company offers structured mentorship, regular tech talks and a balanced work‑life approach, allowing engineers to innovate without burnout.

Bachelor’s degree (or equivalent) in Data Science, Computer Science, Statistics, Mathematics, Engineering or related technical discipline; Minimum 60% aggregate (or CGPA 6.5/10); No active backlogs at the time of joining; Graduation batch 2024, 2025 or 2026; Strong academic projects or internships in data science/ML preferred.

Round 1: Online coding assessment (Python/SQL) → Round 2: Technical interview (ML concepts, project discussion, case study) → Round 3: HR interview (fit, motivation, compensation discussion)

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** 1. Perform exploratory data analysis and data cleaning on large, heterogeneous datasets. 2. Develop, train and evaluate supervised and unsupervised machine‑learning models using Scikit‑learn, TensorFlow or PyTorch. 3. Build and maintain dashboards and visualisations to communicate insights to non‑technical stakeholders. 4. Design and run A/B tests or experiments to validate model impact on business metrics. 5. Prototype Generative AI use‑cases, including prompt engineering for LLMs. 6. Write efficient SQL queries to extract and transform data from relational databases. 7. Collaborate with data engineers to ensure data pipelines are reliable and scalable. 8. Document model assumptions, performance metrics and deployment procedures. 9. Participate in code reviews and contribute to the team’s MLOps best practices. 10. Stay updated with emerging AI trends and suggest innovative applications for Fortify’s product suite. **Tech Stack**: Python, SQL, Pandas, NumPy, Scikit‑learn, TensorFlow/PyTorch, Azure/AWS/GCP, PowerBI/Tableau, Git, Docker. **Growth Path**: Starting as an Associate Data Scientist, you can progress to Data Scientist, Senior Data Scientist, Machine Learning Engineer, AI Engineer, or Analytics Engineer within 3‑5 years, depending on performance and skill development. The role’s exposure to enterprise‑scale AI projects and cloud platforms accelerates career growth. **Why Join Fortive?** Fortive offers a blend of stability from a multinational corporation and the agility of a tech‑forward environment. You will work on high‑impact projects that directly influence Fortune‑500 customers, receive mentorship from seasoned AI professionals, and benefit from a compensation package that includes a performance bonus and opportunities for continuous upskilling.