Associate Data Scientist Job Openings in Bangalore 2026!!!
Fortive announced job vacancy for the post of Associate Data Scientist.The place of posting will be at Bangalore.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | Fortive |
| Required Qualifications | Graduate / Engineering / Post Graduate |
| Skills | Strong foundation in statistics, machine learning, Python, and data-driven problem solving |
| Category | Artificial Intelligence and Automation |
| Work Type | Hybrid |
They are seeking a highly motivated Associate Data Scientist to join their 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.
Job Details
Θ Positions: Associate Data Scientist
Θ Job Location: Bangalore
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 10436
Roles and 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 Skills & 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.
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