Pune, Maharashtra, India
Job Type
Full Time
About the Role
We are looking for a Data Scientist to lead the development and integration of data-driven algorithms into our simulation software. The candidate should have extensive experience in machine learning, data mining, and statistical modeling. Candidates with a background in e-com / quick commerce / food tech are preferred.
Requirements
What You’ll Do:
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Develop data pipelines and workflows to process large volumes of delivery and fleet data.
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Design and implement predictive models for order demand, rider routing, and vehicle utilization using Python, R, or C.
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Analyze and interpret results, presenting actionable insights to stakeholders.
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Create dynamic geospatial models to improve delivery efficiency and reduce empty miles.
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Build and deploy machine learning models for real-time gig assignment and optimization.
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Collaborate with backend and mobile teams to integrate data science solutions into the Dispatch platform.
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Develop dashboards and visualization tools for operational metrics using Tableau, Power BI, or Plotly.
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Research and experiment with cutting-edge techniques in data science, AI, and machine learning to improve overall system performance.
What We’re Looking For:
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3-6 years of experience in data science or machine learning, preferably in logistics or delivery systems.
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Proficiency in Python,
with hands-on experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
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Strong understanding of statistical modeling, predictive analytics, and data interpretation.
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Experience with data pipeline tools like Apache Spark, Airflow, or Luigi.
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Hands-on experience with cloud platforms (AWS, GCP, or Azure) for data science workflows.
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Familiarity with SQL and NoSQL databases, including performance optimization.
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Strong problem-solving and communication skills, with the ability to present complex data in a clear and concise manner.
Bonus Skills:
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Experience with big data technologies such as Hadoop or Databricks.
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Knowledge of time-series analysis and forecasting methods.
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Familiarity with logistics-focused data models and systems.
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Background in optimization techniques and algorithms (e.g., genetic algorithms, linear programming).
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Knowledge of geospatial analysis using tools like QGIS, GeoPandas, or PostGIS.
Why Join Us?
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Be part of a team driving innovation in last-mile delivery through data science.
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Work on exciting real-world problems in logistics and mobility.
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Opportunities for professional growth in a data-driven company.
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Market-competitive salary, benefits, and a chance to make an impact in a fast-paced startup environment.
📌 Data Scientist (Pune)
🏢 Dispatch
📍 Pune