Dista- Data Scientist

Job Description - Senior Data Scientist

Location: Baner, Pune (Work from Office)

Employment Type: Full-Time

About Dista

Dista is an AI-powered location intelligence platform that helps enterprises optimize field operations, improve workforce productivity, and accelerate business growth. Built on a scalable no-code/low-code platform, Dista seamlessly integrates with existing enterprise systems to deliver intelligent, location-driven business solutions.

Trusted by over 50 leading enterprises across industries, Dista's flagship products-Dista Sales, Dista Collect, Dista Service, Dista Insights, and Dista Deliver-serve more than 100,000 daily active users and manage 15 million+ jobs every month. Our platform has enabled customers to achieve up to 50% higher field coverage, 70% increased agent productivity, and 150% business growth.

At Dista, you'll work on cutting-edge AI, Machine Learning, Geospatial Intelligence, and Cloud technologies while solving complex, real-world business challenges in a fast-growing product organization.

About the Role

We are looking for a highly analytical and problem-solving Senior Data Scientist to join our growing team. The ideal candidate should have strong expertise in machine learning, statistical modeling, data analysis, and Python-based development. You will work on building scalable predictive models, extracting actionable insights from complex datasets, and collaborating with cross-functional teams to solve real-world business problems.

This role requires someone who can own the complete machine learning lifecycle-from data exploration and feature engineering to model deployment and monitoring.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, and business opportunities.
• Design, develop, train, and optimize Machine Learning and AI models for business use cases.
• Build predictive models using regression, classification, clustering, recommendation systems, and forecasting techniques.
• Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis (EDA).
• Develop scalable data pipelines and automate model workflows.
• Collaborate with Product, Engineering, and Business teams to translate business requirements into data-driven solutions.
• Deploy machine learning models into production using APIs or MLOps practices.
• Monitor model performance and continuously improve accuracy and efficiency.
• Present technical findings and recommendations to stakeholders in a clear and actionable manner.
• Stay updated with the latest advancements in AI, Machine Learning, and Data Science.

Required Skills

• 3-5 years of experience in Data Science, Machine Learning, or Analytics.
• Strong programming skills in Python.
• Hands-on experience with:
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch (preferred)
• Strong SQL skills with experience in handling large datasets.
• Solid understanding of:
  • Machine Learning algorithms
  • Statistics
  • Probability
  • Feature Engineering
  • Model Evaluation techniques
• Experience with data visualization tools such as:
  • Power BI
  • Tableau
  • Matplotlib
  • Seaborn
• Experience deploying ML models using Flask, FastAPI, or similar frameworks.
• Knowledge of cloud platforms (AWS, GCP, or Azure) is an added advantage.
• Familiarity with Git, Docker, and MLOps concepts is preferred.
• Excellent analytical thinking and problem-solving skills.