Associate Data Scientist

Fortive

Bengaluru

On-site

INR 450,000 - 750,000

Full time

7 hours ago
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Job summary

Fortive is seeking an Associate Data Scientist to join our AI and Automation team in Bengaluru. The role emphasizes statistics, ML, Python, and data-driven problem solving to deliver impactful analytics across domains.

You will translate business questions into data-driven insights, build models, and contribute to experiments while collaborating with cross-functional teams. This is a great entry path in a global industrial tech company.

Qualifications

  • Bachelor's degree in Data Science, Statistics, CS, Math or related field.
  • 0–2 years of experience in Data Science, Analytics, ML, or related areas.
  • Strong programming in Python and working knowledge of SQL.
  • Solid understanding of statistics, probability, and ML concepts.
  • Experience with Pandas and NumPy for data manipulation.
  • Familiarity with data visualization techniques and tools.
  • Knowledge of data structures, algorithms, and software engineering fundamentals.
  • Strong analytical and communication skills.

Responsibilities

  • Perform EDA, data cleaning, and feature engineering on structured/unstructured data.
  • Build, validate, and interpret ML and statistical models (regression, classification, clustering, forecasting).
  • Design experiments and A/B tests to measure impact.
  • Translate business questions into analytical approaches and visualize findings clearly.
  • Develop dashboards and reports to track KPIs and model performance.
  • Support Generative AI and LLM-based analytics use cases.
  • Write SQL and Python to extract/analyze data from enterprise sources.
  • Collaborate with data/ML engineers and stakeholders to operationalize models.
  • Document methodology, assumptions, and results for reproducibility.
  • Research emerging data science techniques, tools, and best practices.
  • Participate in code reviews and knowledge-sharing sessions.

Skills

Python
SQL
Statistics
Data Analysis
Machine Learning
Pandas/NumPy

Education

Bachelor's degree in Data Science/CS/Statistics

Tools

Scikit-learn
TensorFlow
PyTorch
Power BI
Databricks
Spark

Job description

JOB SUMMARY

We are seeking a highly motivated Associate Data Scientist to join our growing Artificial Intelligence and Automation team. The ideal candidate will have a strong foundation in statistics, machine learning, Python, and data-driven problem solving. This role provides an excellent opportunity to work on impactful analytics and AI initiatives — from exploratory data analysis and predictive modeling to experimentation, Generative AI, and enterprise decision support. The candidate will collaborate with cross-functional teams to translate business questions into data-driven insights and models that drive measurable value across multiple domains.



0-2 Years Experience

We are seeking a highly motivated Associate Data Scientist to join our growing Artificial Intelligence and Automation team. The ideal candidate will have a strong foundation in statistics, machine learning, Python, and data-driven problem solving. This role provides an excellent opportunity to work on impactful analytics and AI initiatives — from exploratory data analysis and predictive modeling to experimentation, Generative AI, and enterprise decision support. The candidate will collaborate with cross-functional teams to translate business questions into data-driven insights and models that drive measurable value across multiple domains.



KEY RESPONSIBILITIES


  • Perform exploratory data analysis, data cleaning, and feature engineering on structured and unstructured data.

  • Build, validate, and interpret machine learning and statistical models (regression, classification, clustering, forecasting).

  • Design and analyze experiments and A/B tests to measure impact and inform business decisions.

  • Translate business problems into analytical approaches and communicate findings through clear visualizations and storytelling.

  • Develop dashboards and reports to track KPIs, business metrics, and model performance.

  • Support the development of Generative AI and LLM-based analytics use cases.

  • Write efficient SQL and Python to extract, transform, and analyze data from enterprise sources.

  • Collaborate with data engineers, ML engineers, and business stakeholders to operationalize models and insights.

  • Document methodology, assumptions, and results, and ensure the reproducibility of analyses.

  • Conduct research on emerging data science techniques, tools, and best practices.

  • Participate in code reviews, peer reviews, and knowledge-sharing sessions.



REQUIRED 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.

  • Strong programming skills in Python and working knowledge of SQL.

  • Solid understanding of statistics, probability, and core machine learning concepts (supervised and unsupervised learning).

  • Experience with data manipulation and analysis using Pandas and NumPy.

  • Familiarity with data visualization techniques and tools.

  • Knowledge of data structures, algorithms, and software engineering fundamentals.

  • Strong analytical, problem-solving, and critical-thinking skills.

  • Excellent communication skills, with the ability to explain technical results to non-technical audiences.



PREFERRED SKILLS


  • Experience with Scikit-learn, statsmodels, TensorFlow, or PyTorch.

  • Familiarity with visualization tools such as Power BI, Tableau, matplotlib, seaborn, or Plotly.

  • Exposure to Generative AI and Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.

  • Understanding of experimentation, A/B testing, and causal inference.

  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud) and Databricks/Spark.

  • Knowledge of MLOps concepts including model deployment, monitoring, and version control.

  • Understanding of Git and collaborative development workflows.

  • Experience working on data science academic, internship, personal, or open-source projects.



WHAT YOU'LL GAIN


  • Hands-on experience with enterprise-scale analytics and AI initiatives.

  • Opportunity to work on machine learning, Generative AI, and advanced analytics.

  • Exposure to cloud-native data platforms and MLOps practices.

  • Mentorship from experienced data science and technology leaders.

  • Opportunity to contribute to impactful, data-driven business transformation.



FORTIVE CORPORATION OVERVIEW

Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.


We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.


We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.


At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.


At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.


At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.


Fortive: For you, for us, for growth.


We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.


This position is also eligible for bonus as part of the total compensation package.



BONUS OR EQUITY

This position is also eligible for bonus as part of the total compensation package.



FORTIVE CORPORATION OVERVIEW

Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.


We are a global industrial technology innovator with a startup spirit. Our forward-looking companies lead the way in healthcare sterilization, industrial safety, predictive maintenance, and other mission-critical solutions. We’re a force for progress, working alongside our customers and partners to solve challenges on a global scale, from workplace safety in the most demanding conditions to advanced technologies that help providers focus on exceptional patient care.


We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.


At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.


At Fortive, we believe in us. We believe in the power of people working together to solve problems no one could solve alone.


At Fortive, we believe in growth. We’re honest about what’s working and what isn’t, and we never stop improving and innovating.


Fortive: For you, for us, for growth.


We Are an Equal Opportunity Employer. Fortive Corporation and all Fortive Companies are proud to be equal opportunity employers. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity or expression, or other characteristics protected by law. Fortive and all Fortive Companies are also committed to providing reasonable accommodations for applicants with disabilities. Individuals who need a reasonable accommodation because of a disability for any part of the employment application process, please contact us at applyassistance@fortive.com.


This position is also eligible for bonus as part of the total compensation package.

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