Machine Learning & Data Science

This role supports the development and modernization of the demand forecasting capabilities within Client’s digital fulfillment organization. The team is responsible for forecasting order volumes, units, and fulfillment capacity across multiple channels (OPU, Ship-to-Home, Drive Up) to optimize store operations planning. Working closely with data scientists and platform engineers, this role bridges ML research and production by scaling data processing workloads, building robust ML pipelines, and ensuring forecasting models run reliably at scale. The ideal candidate brings an ML engineering mindset-combining data engineering, pipeline orchestration, and software engineering skills-to modernize a complex forecasting ecosystem that directly impacts store labor planning and customer experience. Employee Benefits: At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:

• Four options of medical Insurance
• Dental and Vision Insurance
• 401k Contributions
• Critical Illness Insurance
• Voluntary Permanent Life Insurance
• Accident Insurance
• Other Employee Perks

• Experience building and deploying ML models in production environments
• Hands-on experience with time series forecasting (Prophet, ARIMA, or similar)
• Understanding of hyperparameter tuning, model validation, and experiment tracking
• Familiarity with feature engineering and feature store concepts

Data Engineering & Scalability

• Proficiency converting pandas-based workloads to PySpark for large-scale processing
• Experience with distributed data processing frameworks (Spark, Dask, or Ray)
• Ability to optimize data pipelines for performance and cost efficiency
• Working knowledge of data formats (Parquet, CSV) and partitioning strategies
• Experience with BigQuery or similar analytical databases (table design, partitioning, clustering, writing/validating datasets)

ML Pipeline Orchestration

• Experience building ML pipelines using Kubeflow Pipelines (KFP), Vertex AI, or Airflow
• Understanding of pipeline component design, DAG orchestration, and caching strategies
• Ability to integrate data validation, model training, and deployment steps into workflows
• Experience with pipeline parameterization and configuration management

Software Engineering

• Strong Python proficiency with production-grade coding standards
• Ability to read, refactor, and extend existing codebases
• Version control experience (Git) and structured change management
• Familiarity with testing frameworks (pytest), dependency management (Poetry/UV), and code quality tools (pre-commit, linting)

Cloud & Infrastructure

• Hands-on experience with GCP (Vertex AI, Cloud Storage) or equivalent cloud platforms
• Familiarity with containerization (Docker) and container orchestration (Kubernetes)
• Experience with CI/CD pipelines for ML workflows
• Understanding of secrets management and environment configuration

Technical Skills: Nice to Have

• Experience with Ray for distributed ML training and inference
• Exposure to Hadoop ecosystem tools (Hive, HDFS, Spark on YARN)
• Knowledge of ML model monitoring and drift detection
• Experience with infrastructure-as-code (Terraform, Cloud Deployment Manager)
• Familiarity with retail, supply chain, or demand forecasting domains
• Experience working with data science teams to productionize research code
• Background in scaling ML systems from prototype to enterprise-grade deployments, Analysis Skills, Apache Hadoop, Apache Hive, Apache Spark, Artificial Intelligence (AI), Bridge Building, Caching, Change Management, Civil Engineering, Cloud Computing, Configuration Management, Continuous Deployment/Delivery, Continuous Integration, Customer Experience, Data Formats, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Database Design, Database Technology, Demand Forecasting/Planning, Docker, Ecosystems, Engineering, Forecasting, Git, HDFS (Hadoop Distributed File System), Machine Learning, Model Validation, Network Connectivity, Operations Planning, Order/Customer Fulfillment, Performance Tuning/Optimization, Production Systems, Prototyping, Pytest, Refactoring, Retail, Software Engineering, Source Code/Configuration Management (SCM), Supply Chain, Team Player

LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch., We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).