Senior data scientist

9 hours ago


Delhi, India Digivance Solutions Full time

Role: Senior Data Scientist Work Mode: RemoteYear of Experience: 5 - 7 YearsGood To Have Skills: CommunicationMust Have Skills: Data science, Transportation, OptimizationExternal DescriptionWe are seeking a highly experienced and domain-focused Senior Data Scientist to lead advanced analytics and machine learning initiatives with transportation and logistics operations experience. The ideal candidate will have deep expertise applying data science methodologies to solve complex transportation challenges, a proven ability to leverage Py Spark on Azure/Databricks for scalable solutions, and a track record of delivering measurable business impact.Key ResponsibilitiesDomain Leadership & Modeling: Lead the design, development, and deployment of sophisticated predictive and prescriptive models specifically forthe transportation domain (e.g., route optimization, demand forecasting, predictive maintenance for fleet, network efficiency, logistics planning, and anomaly detection).Big Data & Cloud Implementation: Architect and implement scalable machine learning learning workflows and ETL processes utilizing Py Spark within the Azure ecosystem (e.g., Azure Synapse, Azure Data Lake Storage).Databricks Expertise: Serve as the technical expert for developing and executing data science notebooks and ML pipelines on Databricks, ensuring optimized performance and cost efficiency.Collaboration & Strategy: Partner closely with operations, engineering, and business intelligence teams to identify high-impact analytical opportunities and translate complex business problems into clear data science initiatives.MLOps & Production: Establish and maintain robust MLOps practices, including model versioning, continuous integration/continuous deployment (CI/CD), andmonitoring of production models deployed in the cloud environment.Data Analysis & Storytelling: Conduct in-depth analysis of transportation data, providing actionable insights and communicating complex technical findings andtheir business value to both technical and executive stakeholders.QualificationsExperience: 5+ years of progressive professional experience in a Data Scientist or a Machine Learning Engineer role.Domain Expertise: Mandatory 3+ years of experience working specifically within the Transportation, Logistics, Supply Chain, or Fleet Management industry.Technical Stack:Expert proficiency in Python and its data science ecosystem (e.g.,pandas, Num Py, scikit-learn, Tensor Flow/Py Torch).Advanced proficiency in Py Spark for large-scale data processing and machine learning model development.Expert experience with Azure cloud services relevant to data science (e.g., Azure ML, Azure Data Factory, Azure Data Lake Storage, Azure Synapse).Mandatory expertise working with Databricks (Delta Lake, MLflow) for model training, tracking, and deployment.Strong SQL skills for data querying and manipulation.Education:Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Computer Science, Operations Research, Engineering).



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