Part-Time Senior Data Scientist – Retail Forecasting & Machine Learning Solutions (Remote) – arenaflex

About arenaflex

arenaflex is a pioneering leader in the retail analytics space, empowering businesses to transform raw data into strategic insights that drive growth and operational excellence. Our mission is to harness the power of advanced mathematics, statistical modeling, and cutting‑edge machine learning to solve complex retail challenges—from demand forecasting to inventory optimization. As a remote‑first organization, we attract top talent from across the United States, fostering a collaborative, inclusive, and innovative culture where every voice matters.

Why This Role Matters

In today’s fast‑moving retail environment, the ability to predict trends, automate decision‑making, and extract actionable intelligence from massive data sets is a competitive differentiator. As a Part‑Time Senior Data Scientist at arenaflex, you will lead the design, development, and deployment of sophisticated forecasting algorithms and machine‑learning solutions that directly impact our clients’ bottom lines. Your work will enable retailers to reduce stockouts, minimize excess inventory, and enhance customer satisfaction through data‑driven strategies.

Key Responsibilities

• Algorithm Development: Design, implement, and refine long‑term forecasting models using statistical techniques, time‑series analysis, and deep learning to address real‑world retail problems.
• Data Engineering & Pipeline Construction: Build robust data pipelines that ingest, clean, and transform terabytes of historical sales, inventory, and external data sources for model training and inference.
• Feature Engineering & Model Training: Conduct extensive feature extraction, selection, and engineering to improve model accuracy, leveraging tools such as Python, R, Spark, and Scala.
• Model Validation & Productionization: Perform rigorous validation, A/B testing, and performance monitoring; collaborate with engineering teams to deploy models at scale on distributed platforms (Hadoop, Hive, Spark).
• Insight Communication: Translate complex analytical results into clear, actionable business recommendations for senior leadership, product managers, and cross‑functional partners.
• Collaboration & Leadership: Work closely with global AI teams, data engineers, software developers, and business stakeholders to identify new opportunities and drive end‑to‑end solution delivery.
• Continuous Improvement: Review model performance metrics, diagnose issues, and iterate on algorithms to maintain state‑of‑the‑art accuracy and efficiency.
• Best Practices Advocacy: Champion software engineering standards, reproducible research, version control, and documentation to ensure high‑quality, maintainable codebases.

Essential Qualifications

• Master’s degree in Mathematics, Statistics, Computer Science, or a closely related quantitative field.
• Minimum of 7 years of professional experience as a data scientist or machine‑learning engineer, with a proven track record of delivering production‑grade models (regression, clustering, forecasting).
• Demonstrated expertise in statistical modeling, probability theory, optimization, and linear programming.
• Hands‑on experience with large‑scale data processing frameworks (Hadoop, Hive, Spark) and cloud‑based environments.
• Proficiency in programming languages and tools: Python, SQL, R, SAS, MATLAB, Java, C, JavaScript, Scala, and command‑line scripting.
• Strong background in data mining, natural language processing, and text analytics applied to retail datasets.
• Ability to design end‑to‑end machine‑learning pipelines, from data ingestion through model deployment and monitoring.
• Excellent communication skills, with the capacity to present technical findings to non‑technical audiences and influence strategic decisions.

Preferred Qualifications

• Ph.D. in Mathematics, Statistics, or a related quantitative discipline.
• At least 4 years of experience leading large‑scale AI initiatives in the retail or e‑commerce sector.
• Experience with deep learning frameworks (TensorFlow, PyTorch) and advanced time‑series forecasting methods (Prophet, ARIMA, LSTM).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines for model deployment.
• Prior exposure to risk modeling, anomaly detection, and predictive maintenance within a retail context.
• Published research or contributions to open‑source projects in data science or machine learning.

Core Skills & Competencies

• Analytical Thinking: Ability to dissect complex datasets, identify patterns, and formulate hypotheses.
• Problem‑Solving: Creative approach to translating business challenges into quantitative solutions.
• Collaboration: Proven teamwork with cross‑functional groups, including product, engineering, and operations.
• Project Management: Manage multiple concurrent projects, prioritize tasks, and meet deadlines in a part‑time capacity.
• Adaptability: Thrive in a fast‑changing environment, quickly learning new tools and techniques.
• Ethical Data Handling: Commitment to data privacy, security, and responsible AI practices.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its team members. As a senior data scientist, you will have access to:

• Mentorship from industry veterans and thought leaders in AI and retail analytics.
• Funding for conferences, workshops, and certifications (e.g., AWS Certified Machine Learning, TensorFlow Developer Certificate).
• Opportunities to lead high‑visibility projects that shape the strategic direction of our product portfolio.
• Cross‑departmental rotations to broaden expertise in product management, engineering, and business strategy.
• A clear pathway to senior leadership roles, such as Lead AI Scientist, Director of Data Science, or Chief Analytics Officer.

Work Environment & Culture at arenaflex

Our remote‑first culture is built on trust, flexibility, and a shared passion for innovation. Key aspects of our environment include:

• Flexible Scheduling: As a part‑time role, you can design your work hours around personal commitments while still contributing to impactful projects.
• Collaborative Tools: State‑of‑the‑art communication platforms (Slack, Microsoft Teams), shared code repositories (GitHub), and virtual whiteboards foster seamless teamwork.
• Inclusive Community: Diversity, equity, and inclusion are core values; we celebrate varied perspectives and encourage open dialogue.
• Innovation Labs: Dedicated time for experimentation, hackathons, and research initiatives.
• Health & Well‑Being: Comprehensive wellness programs, virtual fitness classes, and mental‑health resources.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects your expertise and the strategic importance of the role. While exact figures are tailored to experience, you can expect:

• Base salary commensurate with industry standards for senior data scientists.
• Performance‑based bonuses tied to project milestones and business impact.
• Equity participation, giving you a stake in arenaflex’s long‑term success.
• Full health, dental, and vision coverage, with options for dependents.
• Retirement savings plans (401(k) with company match).
• Generous paid time off, holidays, and sick leave.
• Professional development budget for courses, certifications, and conferences.
• Home office stipend to support your remote workspace.

How to Apply

If you are ready to leverage your quantitative expertise to revolutionize retail forecasting and drive tangible business outcomes, we want to hear from you. Join arenaflex’s dynamic team of AI innovators and make a lasting impact on the future of retail analytics.

Apply Now and start your journey with arenaflex today!