Associate Data Scientist at Fortive
Fortive is seeking a highly motivated Associate Data Scientist to join its Artificial Intelligence and Automation team in Bengaluru. In this role, you will work on impactful analytics and AI initiatives ranging from exploratory data analysis and predictive modeling to Generative AI and enterprise decision support.
Role Overview
Fortive is seeking a highly motivated Associate Data Scientist to join its Artificial Intelligence and Automation team in Bengaluru. In this role, you will work on impactful analytics and AI initiatives ranging from exploratory data analysis and predictive modeling to Generative AI and enterprise decision support.
Candidate Overview:
- Role Summary: Collaborate with cross-functional teams to translate complex business questions into actionable insights and robust predictive models.
- Learning & Growth: Gain hands-on exposure to enterprise-scale AI, cloud-native data platforms, and MLOps practices under expert mentorship.
Eligibility Criteria & Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
- 0-2 years of experience in Data Science, Analytics, Machine Learning, or related areas.
- Solid understanding of statistics, probability, and core machine learning concepts (supervised and unsupervised learning).
- Strong programming skills in Python and working knowledge of SQL.
Key Responsibilities
Data Preparation & Quality
- •Perform exploratory data analysis, data cleaning, and feature engineering on structured and unstructured datasets.
- •Develop dashboards, metrics reports, and support Generative AI and LLM-based analytics use cases.
Analysis, Reporting & Visualization
- •Build, validate, and interpret machine learning and statistical models such as regression, classification, clustering, and forecasting.
- •Write efficient SQL and Python scripts to extract, transform, and analyze enterprise data.
Insights & Stakeholder Communication
- •Design and analyze experiments and A/B tests to measure business impact.
Required Skills & Technologies
How to Apply
Submit your application directly through Fortive's verified careers portal.
Review the published role requirements, degree qualifications, and eligible graduation batches above.
Ensure your resume highlights relevant projects and contains working GitHub repository links.
Click the official application button below to open Fortive's direct careers page.
Complete and submit your application directly on the employer's portal.
You will be directed to Fortive's official careers portal. Career Insights does not process applications or charge any candidate fees.
The specifications above are verified official details published by Fortive. Candidates should verify all final terms, deadlines, and eligibility directly on Fortive's official careers portal before submitting an application.
Recommended Preparation
Independent editorial guidance based on the published role information.
What to Prepare
Evaluate your data analysis and quantitative background against published criteria and hands-on preparation focus areas.
B.E / B.Tech / MCA / B.Sc
Hiring evaluations prioritize demonstrable problem-solving, domain competence, and practical project evidence over specific degree pedigree.
Proficiency in relational databases, SQL queries, and data extraction.
Master complex SQL operations: Window functions (ROW_NUMBER, RANK, DENSE_RANK), CTEs, multi-table JOINs, and query execution plan analysis.
Data cleaning, transformation, and reporting dashboards.
Be prepared to clean messy datasets using Python (Pandas/NumPy) or Excel, identify statistical outliers, and explain KPI metric definitions.
Familiarity with databases, schema modeling, and structured query writing.
Be prepared to explain relational normalization (1NF-3NF), indexing trade-offs, foreign key constraints, and transactional consistency.
Familiarity with Git branching, pull requests, and collaborative repository management.
Review Git branch workflows, pull request code reviews, and maintain clean commit history with descriptive messages.
Onsite (Bengaluru, India) operational structure.
Highlight proactive written communication, technical documentation discipline, and the ability to troubleshoot errors systematically before escalating.
Technical Topics
Depending on the hiring team’s evaluation style, technical assessments for this role typically cover these core areas:
Topic 1: Advanced SQL & Data Extraction
- Window functions (ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD)
- Common Table Expressions (CTEs), multi-table JOINs, and subqueries
- Query optimization, index utilization, and execution plan review
Topic 2: Data Cleaning, Wrangling & Validation
- Handling missing values, duplicated records, and date/time conversions
- Using Python (Pandas/NumPy) or SQL for data hygiene and transformation
- Detecting statistical outliers and verifying data distribution integrity
Topic 3: Metric Definition, KPI Modeling & Dashboard Architecture
- Designing intuitive business dashboards (Power BI, Tableau, Looker)
- Formulating unambiguous metric definitions (retention, churn, cohort LTV)
- Choosing appropriate data visualizations for business decision-making
Topic 4: Business Problem Solving with Data & Hypothesis Testing
- Formulating testable hypotheses from operational questions
- Segmenting customer or operational cohorts to isolate drivers
- Translating statistical patterns into concrete operational recommendations
Topic 5: Cross-Functional Storytelling & Analytical Communication
- Explaining data nuances and limitations to non-technical team members
- Answering questions about statistical confidence and data provenance
- Collaborative iteration with product managers and engineers
* Note: These are independent Career Insights editorial recommendations to help candidates structure their study plan. They do not represent guaranteed interview stages or official hiring mandates from Fortive.
Practical Project
Turn the listed data skills into a portfolio exercise using a realistic dataset, analysis workflow, and decision-focused output.
Document QA Engine with Vector Search
An inference service that ingests technical PDFs, chunks content into vector embeddings, and performs semantic search to answer domain queries.
Python, Vector Databases, Semantic Search, FastAPI Endpoint
Document embedding model choices, chunk size benchmark results, retrieval latency metrics, and API endpoint usage examples.
Chunking strategies, distance metrics used for nearest-neighbor queries, and handling retrieval hallucinations.
Career Insights recommendation: This project is an independent editorial recommendation designed to help candidates build verifiable portfolio evidence. It is not required or sponsored by Fortive.
Before You Apply
Verify your dataset portfolios, dashboard presentations, and application materials before applying.
Ensure your resume highlights SQL queries, data manipulation projects, and interactive dashboard links involving Python, SQL, Machine Learning.
Confirm that your degree, graduation year (Not specified), and location match Fortive's criteria.
Have 1–2 data analysis projects prepared. Be ready to explain your data cleaning methodology, SQL aggregation queries, and actionable conclusions.
Submit your application directly through Fortive's official careers portal using the verified apply link below. Career Insights does not process applications or charge any candidate fees.
Career Growth Context
Editorial analysis of how this role builds quantitative expertise and strategic analytical influence.
Data Architecture & Tooling Orientation
Familiarity with enterprise data warehouses, schema design, SQL data pipelines, and internal business metrics.
Exploratory Analysis & Dashboard Engineering
Constructing performant business intelligence dashboards, validating dataset integrity, and automating recurring analytical reporting.
Statistical Modeling & Strategic Insights
Conducting cohort analyses, predictive modeling, and identifying trends that drive product, operational, or business efficiency.
Progression Toward Senior / Lead Analytics Partner
Defining data governance standards, leading cross-functional data initiatives, and guiding organizational decision-making with executive stakeholders.
This page provides verified job details sourced from Fortive's recruitment announcement, alongside independent preparation roadmaps authored by the Career Insights editorial team. Career Insights is not affiliated with Fortive and does not collect candidate data or charge application fees.
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