If you are looking to begin or grow your career in Data Science, Machine Learning, Artificial Intelligence, and Analytics, the Associate Data Scientist opportunity at Fortive is a role worth knowing about.
Fortive is a global industrial technology company that develops technologies and solutions across areas such as workplace safety, healthcare, predictive maintenance, and other mission-critical applications. The company combines technology, data, and business expertise to help organizations solve complex problems and improve productivity.
This Associate Data Scientist position is designed for candidates with 0–2 years of experience who have a strong foundation in statistics, machine learning, Python, SQL, and data-driven problem solving.
Application Status: The job listing provided indicates that Fortive is no longer accepting applications for this position.
Fortive Associate Data Scientist Job Overview
| Job Details | Information |
|---|---|
| Company | Fortive |
| Job Role | Associate Data Scientist |
| Job ID | 10436 |
| Experience | 0–2 Years |
| Job Type | Full-time |
| Location | Bengaluru East, Karnataka, India |
| Work Model | Hybrid |
| Career Area | Data Science / Artificial Intelligence & Automation |
| Education | Bachelor’s degree in a relevant field |
| Application Status | No longer accepting applications |
About Fortive
Fortive is a global industrial technology innovator with a startup-oriented approach to solving important problems. Its businesses work across high-impact areas including workplace safety, healthcare, build environments, industrial technology, and predictive maintenance.
The company says its technology helps make the world safer and more productive. Fortive also emphasizes continuous learning, collaboration, improvement, and professional growth through its Fortive Business System (FBS).
According to the provided job description, Fortive has a workforce of approximately 10,000 employees and operates with a focus on technology-driven transformation.
About the Associate Data Scientist Role
The Associate Data Scientist will be part of Fortive’s Artificial Intelligence and Automation team.
The position focuses on applying statistics, machine learning, programming, experimentation, and analytics to real-world business problems. Candidates may work with both structured and unstructured data and contribute to projects involving predictive modeling, Generative AI, enterprise analytics, experimentation, and decision support.
This role also involves collaborating with data engineers, machine learning engineers, and business stakeholders to turn business questions into useful analytical solutions.
Key Responsibilities
As an Associate Data Scientist, the selected candidate may be responsible for:
- Performing exploratory data analysis and data cleaning.
- Working with structured and unstructured datasets.
- Performing feature engineering for machine learning applications.
- Building, validating, and interpreting statistical and machine learning models.
- Working with regression, classification, clustering, and forecasting techniques.
- Designing and analyzing experiments and A/B tests.
- Translating business problems into appropriate analytical approaches.
- Communicating analytical findings through visualizations and data storytelling.
- Developing dashboards and reports for KPIs and business metrics.
- Supporting Generative AI and Large Language Model-based analytics use cases.
- Using Python and SQL to extract, transform, and analyze enterprise data.
- Working with data engineers, ML engineers, and business stakeholders.
- Helping operationalize models and analytical insights.
- Documenting methodologies, assumptions, and analytical results.
- Maintaining reproducibility of analyses.
- Researching emerging data science techniques and best practices.
- Participating in code reviews, peer reviews, and knowledge-sharing activities.
Required Qualifications
Candidates applying for this type of role should have the following background:
Educational Qualification
A Bachelor’s degree in one of the following or a related field:
- Data Science
- Statistics
- Computer Science
- Mathematics
- Engineering
- Other relevant disciplines
Experience
The position is intended for candidates with 0–2 years of experience in:
- Data Science
- Data Analytics
- Machine Learning
- Or related areas
Academic projects, internships, personal projects, and open-source contributions can also be relevant to the preferred profile mentioned in the job description.
Technical Skills Required
A strong foundation in the following areas is important:
| Skill Area | Expected Knowledge |
|---|---|
| Programming | Python |
| Database | SQL |
| Statistics | Statistics and probability |
| Machine Learning | Supervised and unsupervised learning |
| Data Analysis | Pandas and NumPy |
| Data Visualization | Visualization concepts and tools |
| Computer Science | Data structures and algorithms |
| Software Engineering | Fundamental development practices |
| Problem Solving | Analytical and critical-thinking skills |
| Communication | Ability to explain technical results clearly |
Preferred Skills
The following skills were listed as preferred rather than mandatory:
- Scikit-learn
- statsmodels
- TensorFlow
- PyTorch
- Power BI
- Tableau
- matplotlib
- seaborn
- Plotly
- Generative AI
- Large Language Models (LLMs)
- OpenAI
- Anthropic Claude
- Azure OpenAI
- Gemini
- A/B testing
- Causal inference
- Azure
- AWS
- Google Cloud
- Databricks
- Spark
- MLOps
- Model deployment and monitoring
- Git
- Collaborative development workflows
Candidates who have completed data science academic projects, internships, personal projects, or open-source projects may also find these experiences useful for demonstrating practical skills.
What You Can Gain From This Role
According to the provided job description, the position offers exposure to several areas of modern data science and enterprise technology.
Selected candidates can gain experience with:
- Enterprise-scale analytics and AI initiatives.
- Machine learning and advanced analytics.
- Generative AI and LLM-based applications.
- Cloud-native data platforms.
- MLOps practices.
- Data-driven business transformation.
- Mentorship from experienced data science and technology professionals.
For someone at the beginning of a data science career, exposure to these areas can help build both technical and business-oriented skills.
Work Location and Working Model
The position is based in:
Bengaluru East, Karnataka, India
The job listing identifies the role as Hybrid, meaning the position combines workplace and remote-working arrangements according to the company’s working model and business requirements.
Who Is This Role Suitable For?
This opportunity is particularly relevant for candidates who are interested in building careers in:
- Data Science
- Machine Learning
- Artificial Intelligence
- Business Analytics
- Generative AI
- Predictive Analytics
- MLOps
- Enterprise Data
Candidates with strong Python and SQL fundamentals, combined with knowledge of statistics and machine learning, would have a foundation aligned with the requirements described in the listing.
Application Status
The Fortive job listing provided for this article states:
Therefore, candidates should not assume that applications are currently being accepted for this specific Associate Data Scientist position.
Job seekers interested in Fortive should instead check the company’s current careers page for newly posted opportunities that match their qualifications.
Frequently Asked Questions
1. What is the Fortive Associate Data Scientist job?
The Associate Data Scientist role is part of Fortive’s Artificial Intelligence and Automation team. The position involves data analysis, statistical modeling, machine learning, experimentation, Generative AI, and enterprise analytics.
2. What experience is required?
The job description specifies 0–2 years of experience in Data Science, Analytics, Machine Learning, or related areas.
3. What educational qualification is required?
A Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field is listed as a required qualification.
4. Is Python required?
Yes. Strong programming skills in Python are listed among the required qualifications.
5. Is SQL required?
Yes. Working knowledge of SQL is required for the position.
6. Does the role involve Generative AI?
Yes. Supporting Generative AI and LLM-based analytics use cases is included among the responsibilities, while familiarity with Generative AI and LLM platforms is listed as a preferred skill.
7. Where is the position located?
The position is listed in Bengaluru East, Karnataka, India.
8. Is the position currently open?
No. The job listing provided states that the position is no longer accepting applications.
Final Takeaway
The Fortive Associate Data Scientist position is aimed at early-career professionals with a foundation in Python, SQL, statistics, machine learning, and data analysis.
The role offers exposure to modern areas such as Generative AI, LLM-based analytics, cloud platforms, MLOps, experimentation, and enterprise-scale data science. It could be a strong fit for candidates developing practical experience through academic, internship, personal, or open-source projects.
However, the specific position discussed in this article is no longer accepting applications. Candidates should verify the availability of current Fortive openings before applying to any position.
Job seekers should always verify the latest information directly through the employer’s official careers website before submitting personal information or application documents.
Disclaimer
This article is provided for informational purposes and is based on the job information supplied for this post. Job availability, requirements, locations, deadlines, and other employment details may change at the employer’s discretion. Always verify the latest information through the company’s official careers website. We do not guarantee employment, selection, interview calls, or application outcomes.