Part-Time Senior Data Scientist – Retail Forecasting, Machine Learning, and AI Solutions at arenaflex

About arenaflex – Pioneering Retail Intelligence

arenaflex is a market‑leading innovator in retail analytics, harnessing the power of advanced mathematics, statistics, and artificial intelligence to transform how retailers understand and serve their customers. Our mission is to turn massive streams of data into actionable insights that drive strategic decisions, optimize operations, and create sustainable growth for our partners. As a forward‑thinking organization, arenaflex invests heavily in cutting‑edge technology, collaborative research, and a culture that celebrates curiosity, continuous learning, and impact‑driven results.

Position Overview

We are seeking a highly skilled Part‑Time Senior Data Scientist to lead the design, development, and deployment of sophisticated forecasting algorithms and machine‑learning solutions for the retail sector. This role will blend deep quantitative expertise with practical engineering to automate data‑driven processes that currently rely on manual analysis. The ideal candidate will thrive in a remote‑first environment, collaborate with a global AI team, and deliver scalable, production‑grade models that unlock new business opportunities.

Key Responsibilities

• Lead the end‑to‑end development of long‑term forecasting models that address complex retail challenges, from inventory optimization to demand planning.
• Automate manual data‑analysis workflows by designing robust statistical and machine‑learning pipelines that handle millions of data points daily.
• Collect, clean, organize, and interpret large volumes of time‑series data, turning raw information into clear, business‑focused insights.
• Perform exploratory data analysis (EDA), feature engineering, and statistical testing to uncover hidden patterns and drive hypothesis‑driven experimentation.
• Build, train, and validate machine‑learning models (regression, clustering, deep learning, reinforcement learning) on high‑dimensional retail datasets.
• Deploy models to production environments, monitor performance, and iterate on improvements to maintain accuracy and reliability.
• Collaborate closely with data engineers, software developers, product managers, and business stakeholders to translate analytical findings into actionable recommendations.
• Document model architecture, data pipelines, and validation results, ensuring transparency and reproducibility for internal and external audiences.
• Mentor junior data scientists and contribute to the development of best practices in data science, model governance, and ethical AI.
• Stay abreast of emerging techniques in AI, probability theory, optimization, and big‑data technologies, and proactively propose innovative solutions to enhance arenaflex’s product suite.

Essential Qualifications

• Education: Minimum a Master’s degree in Mathematics, Statistics, Computer Science, or a closely related quantitative field.
• Experience: At least 7 years of professional experience as a data scientist or machine‑learning scientist, with a proven track record of delivering high‑impact predictive models (regression, clustering, forecasting) in a retail or e‑commerce context.
• Demonstrated expertise in statistical modeling, probability theory, and optimization techniques.
• Hands‑on experience with large‑scale data processing frameworks (Hadoop, Hive, Spark) and cloud‑based data pipelines.
• Proficiency in programming languages and tools such as Python, R, SQL, Scala, Java, C, and MATLAB.
• Deep familiarity with machine‑learning libraries (TensorFlow, PyTorch, scikit‑learn) and model‑deployment platforms.
• Strong ability to translate complex analytical results into clear business narratives for senior leadership.
• Excellent communication skills, both written and verbal, with the capacity to influence cross‑functional teams.

Preferred Qualifications

• Ph.D. in Mathematics, Statistics, Computer Science, or a related discipline.
• 4+ years of experience specifically focused on retail analytics, demand forecasting, or supply‑chain optimization.
• Experience leading the productionization of machine‑learning models, including monitoring, A/B testing, and continuous integration/continuous deployment (CI/CD) pipelines.
• Knowledge of risk modeling, statistical quality control, and advanced econometrics.
• Familiarity with data visualization tools (Tableau, Power BI, Looker) and storytelling techniques.
• Prior experience working in a fully remote, distributed team environment.

Core Skills & Competencies

• Analytical Mindset: Ability to dissect complex problems, formulate hypotheses, and apply rigorous statistical methods.
• Technical Mastery: Expertise in data extraction, transformation, loading (ETL), and building scalable pipelines.
• Programming Proficiency: Advanced coding skills in Python, R, and SQL; comfortable with Java, Scala, or C for performance‑critical components.
• Machine Learning & AI: Strong background in supervised and unsupervised learning, deep learning architectures, and model interpretability.
• Collaboration: Proven ability to work effectively with engineers, product owners, and business analysts across time zones.
• Communication: Talent for presenting technical concepts to non‑technical audiences, creating compelling visual narratives.
• Project Leadership: Experience driving large‑scale initiatives from concept through production, managing timelines and stakeholder expectations.
• Continuous Learning: Commitment to staying current with emerging trends in AI, big data, and retail technology.

Career Growth & Learning Opportunities

At arenaflex, your professional development is a priority. You will have access to:

• Mentorship from senior AI researchers and industry veterans.
• Annual learning stipend for conferences, certifications, and advanced coursework.
• Opportunities to publish research findings in reputable journals and present at global data‑science symposiums.
• Clear career pathways toward Principal Scientist, AI Strategy Lead, or Product Innovation Director roles.
• Cross‑functional projects that broaden your expertise beyond retail, including finance, logistics, and emerging IoT analytics.

Work Environment & Culture at arenaflex

arenaflex embraces a flexible, remote‑first culture that values work‑life balance, diversity, and inclusion. Our teams are:

• Globally distributed, collaborating across multiple time zones with asynchronous communication tools.
• Empowered to experiment, fail fast, and iterate, fostering an environment of innovation.
• Supported by a robust technical infrastructure, including high‑performance computing clusters and secure data warehouses.
• Encouraged to share ideas openly, with regular virtual “innovation hours,” hackathons, and knowledge‑sharing sessions.
• Committed to ethical AI practices, ensuring fairness, transparency, and accountability in every model we deploy.

Compensation, Perks & Benefits

arenaflex offers a competitive compensation package that reflects the expertise and impact of our senior data scientists. While exact figures will be discussed during the interview process, candidates can expect:

• Base salary commensurate with experience, plus performance‑based bonuses.
• Comprehensive health, dental, and vision coverage.
• Retirement savings plan with company matching contributions.
• Generous paid time off, parental leave, and flexible scheduling.
• Home office stipend, high‑speed internet reimbursement, and ergonomic equipment allowance.
• Access to cutting‑edge tools, cloud resources, and a collaborative development environment.
• Professional development budget, conference travel, and internal training programs.

How to Apply

If you are passionate about turning massive retail data sets into strategic advantage, thrive in a remote setting, and are ready to lead innovative AI initiatives at arenaflex, we want to hear from you. Submit your resume, a cover letter highlighting relevant projects, and any portfolio or GitHub links that showcase your work.

Apply Now

Join arenaflex – Shape the Future of Retail Analytics

At arenaflex, your expertise will directly influence the next generation of retail intelligence solutions. By joining our team, you become part of a mission‑driven organization where data science is not just a function, but a catalyst for real‑world impact. Take the next step in your career and help us redefine how retailers predict, plan, and prosper.