Job Title: Data Scientist
Location: Pune, India
Company: Dispatch Network (Artem Network Private Limited)
Website: www.dispatchnetwork.co
About Dispatch Network:
At Dispatch Network, we’re on a mission to redefine last-mile delivery with cutting-edge technology and innovative solutions. By combining data-driven insights with custom-built electric vehicles, we’re optimizing delivery networks for maximum efficiency. Join us as we shape the future of logistics.
What You’ll Do:
- Develop data pipelines and workflows to process large volumes of delivery and fleet data.
- Design and implement predictive models for order demand, rider routing, and vehicle utilization using Python, R, or Scala.
- Analyze and interpret results, presenting actionable insights to stakeholders.
- Create dynamic geospatial models to improve delivery efficiency and reduce empty miles.
- Build and deploy machine learning models for real-time gig assignment and optimization.
- Collaborate with backend and mobile teams to integrate data science solutions into the Dispatch platform.
- Develop dashboards and visualization tools for operational metrics using Tableau, Power BI, or Plotly.
- Research and experiment with cutting-edge techniques in data science, AI, and machine learning to improve overall system performance.
What We’re Looking For:
- 3-6 years of experience in data science or machine learning, preferably in logistics or delivery systems.
- Proficiency in Python, with hands-on experience in libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Strong understanding of statistical modeling, predictive analytics, and data interpretation.
- Experience with data pipeline tools like Apache Spark, Airflow, or Luigi.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) for data science workflows.
- Familiarity with SQL and NoSQL databases, including performance optimization.
- Strong problem-solving and communication skills, with the ability to present complex data in a clear and concise manner.
Bonus Skills:
- Experience with big data technologies such as Hadoop or Databricks.
- Knowledge of time-series analysis and forecasting methods.
- Familiarity with logistics-focused data models and systems.
- Background in optimization techniques and algorithms (e.g., genetic algorithms, linear programming).
- Knowledge of geospatial analysis using tools like QGIS, GeoPandas, or PostGIS.
Why Join Us?
- Be part of a team driving innovation in last-mile delivery through data science.
- Work on exciting real-world problems in logistics and mobility.
- Opportunities for professional growth in a data-driven company.
- Competitive salary, benefits, and a chance to make an impact in a fast-paced startup environment.