Data Scientist / Applied ML Engineer

About the role

A Data Scientist / Applied ML Engineer will design, develop, and operationalize enterprise forecasting capabilities that power critical planning and decision-making, with a stronger emphasis on the applied ML engineer aspects.

Responsibilities

• Design, develop, and implement scalable time series forecasting solutions supporting enterprise planning initiatives.
• Research, evaluate, and implement advanced statistical, machine learning, and deep learning forecasting methodologies.
• Design reusable feature engineering frameworks and forecasting methodologies that can be leveraged across multiple business domains.
• Develop production-grade machine learning pipelines, inference services, and reusable forecasting software components.
• Develop modular Python libraries, reusable forecasting frameworks, and feature pipelines to accelerate future development.
• Build scalable production data products by integrating internal and external demand drivers.
• Develop automated model validation, monitoring, and performance reporting capabilities.
• Partner with Data Engineering, Architecture, and Platform teams to design and implement scalable cloud-native forecasting architectures.
• Develop production-quality software using object-oriented programming principles and software engineering best practices.
• Collaborate with cross-functional teams to deliver forecasting initiatives from concept through production deployment.

Requirements

• Education: A BA/BS in Statistics, Mathematics, Operations Research, Economics, Engineering, Computer Science, Data Science, or a related quantitative discipline is required. A Master's degree is preferred.
• Experience: Candidates should have 3–5+ years of experience designing and developing machine learning or time series forecasting solutions (or 2+ years with a quantitative Master's degree).
• Technical Skills: Strong proficiency with SQL and Python for software development, data engineering, feature engineering, and production forecasting applications is required. Experience designing, developing, deploying, and monitoring production machine learning solutions using modern software engineering and MLOps practices is necessary. Strong software engineering fundamentals including object-oriented programming, version control (Git), and automated testing are necessary.

Qualifications

• Strong proficiency with SQL and Python for software development, data engineering, feature engineering, and production forecasting applications is required.
• Experience designing, developing, deploying, and monitoring production machine learning solutions using modern software engineering and MLOps practices is necessary.
• Strong software engineering fundamentals including object-oriented programming, version control (Git), and automated testing are necessary.

Skills

• Experience supporting retail forecasting, demand planning, supply chain optimization, labor planning, or inventory optimization.
• Experience with forecasting frameworks such as Prophet, ARIMA/SARIMA, State Space Models, XGBoost, LightGBM, or Temporal Fusion Transformers.
• Experience with Databricks, Snowflake, Spark, dbt, Azure Data Factory, or MLflow.
• Experience implementing CI/CD pipelines, model registries, feature stores, and production model monitoring frameworks.
• Experience designing APIs, reusable Python packages, or cloud-native machine learning applications.
• Experience with BI platforms (such as Power BI) for communicating forecasting results.

Benefits

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Everforth Apex team member can provide.