Associate Data Scientist

Associate Data Scientist

0-2 Years Experience

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. 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.

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.

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