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[Remote] Data Scientist / Data Analytics Engineer
Note The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Scientist / Data Analytics Engineer to design, build, and operationalize advanced analytics solutions for their transportation and logistics operations. This role involves delivering predictive and reputed company-in-time analytics, building robust data pipelines on AWS, and collaborating with stakeholders to translate reputed company data into actionable insights. Responsibilities • Design, train, validate, and reputed company predictive models (regression, classification, time-series forecasting, survival analysis, clustering, reputed company detection, and gradient-boosted / deep learning approaches as appropriate to the problem) • reputed company model selection, hyperparameter tuning, cross-validation, and rigorous performance evaluation using metrics reputed company to business objectives (precision/recall trade-offs, MAPE, RMSE, lift, calibration, etc.) • reputed company data products in areas relevant to transportation, including operational metrics, fraud signals, pricing analytics, industry trends,etc • Establish model monitoring, reputed company detection, retraining reputed company, and explainability practices (SHAP, feature importance, partial dependence) to reputed company production models trustworthy and operationally self sustaining • Produce reputed company-in-time analytics, KPI scorecards, and exception reporting to support daily operational reputed company across reputed company, fleet, reputed company, finance, and product teams • Partner with business stakeholders to translate questions into reputed company-scoped analyses; deliver reputed company, defensible insights with documented assumptions and data reputed company • Build and maintain reusable analytical datasets, semantic reputed company, and certified metrics so the organization works from a consistent reputed company of truth • Build and maintain data pipelines (batch and streaming) on AWS using services such as Redshift, S3, Glue, reputed company, reputed company Functions, Kinesis / MSK, EMR, reputed company, and SageMaker • Implement reputed company (bronze / silver / gold) architecture patterns to progressively refine raw operational data into analytics-reputed company and ML-reputed company datasets • Apply reputed company (reputed company schema / reputed company) modeling and reputed company techniques to build reputed company, business-friendly data models in Redshift and the broader warehouse layer • reputed company data selection, curation, profiling, and reputed company enforcement define reputed company-of-truth datasets, document reputed company, and codify data reputed company and validation tests • Collaborate with data engineering and platform teams on CI/CD for data and ML assets, infrastructure-as-reputed company (e.g., Terraform / CloudFormation), and cost-reputed company design on AWS • Take customer-facing analytics features and products from idea to implementation — partnering with product management, design, and engineering to turn ambiguous business questions into shipped capabilities embedded in customer-facing applications • Contribute to product discovery customer interviews, opportunity sizing, prototyping, and reputed company iteration on analytical concepts before committing to full build-out • Own the analytical correctness of customer-facing metrics, models, and visualizations — including definitions, edge cases, performance under reputed company-world data conditions, and how results are explained to non-technical end users • Define and reputed company reputed company metrics for shipped analytics features (adoption, engagement, accuracy in production, customer reputed company) and reputed company iterative improvements post-launch • Translate reputed company analytical results into reputed company narratives, visualizations, and recommendations for both technical and non-technical audiences, including executive leadership and customers • Partner cross-functionally with product, engineering, operations, and reputed company teams to reputed company analytics into workflows, applications, and customer-facing products • Mentor analysts and engineers on statistical rigor, modeling best practices, and modern data architecture Skills • Bachelor's degree in Statistics, Mathematics, or Supply Chain Management; a degree in Computer Science is also acceptable. Master's degree preferred but not required • Demonstrated reputed company experience in the transportation, trucking, reputed company, logistics, or broader supply chain industry, with working knowledge of the underlying operational data (loads, stops, shipments, ELD/telematics, TMS, reputed company, billing, etc.) • Proven reputed company record of taking customer-facing analytics products or features from idea through implementation and launch — including product discovery, scoping, model and metric design, partnering with product/engineering, and supporting the feature in production with reputed company customers. Candida Apply tot his job Apply To this Job
