Lead Data Scientist – AI & Machine Learning Solutions for Retail Analytics at arenaflex

Join arenaflex as Our Lead Data Scientist

Are you ready to transform the future of retail through the power of data science and artificial intelligence? arenaflex is seeking a highly skilled and motivated Lead Data Scientist to join our innovative team and drive groundbreaking solutions that will shape the way we understand and serve our customers. This is a unique opportunity to leverage your expertise in machine learning, statistical modeling, and data analysis to solve complex business challenges at one of the most dynamic companies in the retail industry.

At arenaflex, we believe that data is the key to unlocking extraordinary customer experiences. As our Lead Data Scientist, you will play a pivotal role in developing and implementing cutting-edge mathematical and statistical techniques that power long-term forecasting models, automate critical business processes, and generate actionable insights that drive strategic decision-making across the organization. This position offers the flexibility to work remotely from anywhere in the United States, allowing you to contribute to our mission while maintaining the work-life balance you deserve.

What You'll Do at arenaflex

As a Lead Data Scientist at arenaflex, you will be at the forefront of our data science initiatives, leading the development and deployment of sophisticated algorithms that revolutionize how we operate. Your responsibilities will span the entire data science lifecycle, from problem definition and data collection to model development, validation, and production deployment. You will collaborate with cross-functional teams including engineers, product managers, and business stakeholders to deliver solutions that create tangible value for the organization.

Key Responsibilities

• Lead the development and utilization of advanced numerical and statistical theory and techniques to create long-term forecasting calculations that solve critical business problems in the retail sector, with a deep understanding of decision science methodologies.


• Transform retail operations by automating numerous processes that currently require manual intervention and decision-making through science and statistical models, improving efficiency and accuracy across the organization.


• Collect, organize, analyze, interpret, and summarize large volumes of time-series data to generate strategic insights that lead to new and innovative applications for the business.


• Investigate complex and rich datasets, evaluate business challenges, develop problem statements, define metrics, and drive feasibility studies to determine the best approach for solving key business questions.


• Perform data analysis tasks, extract meaningful insights, and create compelling storyboards from data analysis that effectively communicate findings to both technical and non-technical audiences.


• Present clear and precise root cause analysis to peer scientists and leadership, translating complex statistical findings into actionable business recommendations.


• Build training workflows for machine learning algorithms on millions of data points, creating algorithmic solutions including data understanding, feature engineering, model development, validation, and model deployment.


• Lead and develop large-scale implementations of machine learning models and algorithmic solutions using rich retail data sources, ensuring scalability and performance.


• Assess model performance and identify improvements to enhance model accuracy, reliability, and business impact over time.


• Collaborate with the global AI team, including scientists, engineers, and colleagues, to identify and lead new opportunities for innovation and business growth.


• Advocate for best programming practices and model individual components of data science solutions, ensuring code quality and reproducibility across the team.

Required Skills and Expertise

To succeed in this role, you must possess a strong foundation in machine learning, probability theory, statistics, optimization theory, deep learning, and data pipeline engineering. You should be comfortable working with distributed systems and have experience in database architecture, linear programming, and data mining. Your technical toolkit should include proficiency in programming languages such as SQL, R, Python, Flash, C, JavaScript, Scala, Hadoop, Hive, HTML, MATLAB, Java, and Command Shell.

Essential Qualifications

• Master's degree in Mathematics, Statistics, or a closely related quantitative field is required.


• A minimum of seven (7) years of experience as a Data Scientist or Machine Learning Scientist (any title) is essential.


• Proven experience participating in advanced machine learning activities including regression, clustering, and forecasting.


• Demonstrated ability to lead the development and execution of analytical and data science modeling solutions using techniques including data mining, machine learning, or text mining.


• Strong foundation in numerical concepts, algorithms, and computational complexity.


• Experience collaborating with colleagues to deliver business value to the organization.


• Proven track record of presenting findings and reports to partners and stakeholders.


• Proficiency in Python, SQL, R, SAS, risk analysis, and data manipulation is required.


• At least two (2) years of experience working with large volumes of data and solving complex business problems.


• Demonstrated experience managing end-to-end data science solutions including problem statement development, feature engineering, model development, evaluation and testing, and deployment to production environments.


• Experience collaborating with engineering teams to resolve issues in production pipelines.


• Knowledge of productionizing, analyzing, and monitoring data science models in online environments.


• Proficiency with Hive or Hadoop, machine learning, text mining, and Flash.

Preferred Qualifications

• Doctorate (PhD) in Mathematics, Statistics, or a closely related quantitative field is preferred.


• A minimum of four (4) years of experience as a Data Scientist or Machine Learning Scientist if holding a PhD.


• Experience working with real-time data streaming and event processing systems.


• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for model deployment.


• Familiarity with containerization technologies like Docker and Kubernetes.


• Experience in retail or e-commerce analytics is highly desirable.


• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Why Join arenaflex?

At arenaflex, we are committed to fostering an inclusive and collaborative environment where data scientists can thrive. We understand that our greatest asset is our people, and we invest heavily in your professional growth and development. When you join arenaflex, you become part of a team that values innovation, curiosity, and the relentless pursuit of excellence.

Career Growth and Learning Opportunities

We believe in nurturing talent and providing our team members with the resources they need to grow professionally. As a Lead Data Scientist at arenaflex, you will have access to:

• Professional development programs including conferences, workshops, and training sessions to stay current with emerging technologies and methodologies.


• Mentorship opportunities from senior data scientists and industry experts who will guide you in your career journey.


• Clear career progression paths that allow you to advance into technical leadership or management roles based on your interests and strengths.


• Cross-functional exposure to different business units, allowing you to broaden your expertise and understanding of the retail industry.


• Innovation time where you can explore new ideas and technologies that could benefit the organization.

Work Environment and Culture

arenaflex embraces a flexible work culture that supports remote work arrangements. You can work from the comfort of your home office from any location in the United States. We believe in trust and accountability, giving you the autonomy to manage your schedule while meeting team objectives. Our collaborative culture encourages open communication, knowledge sharing, and teamwork across all levels of the organization.

You will be part of a diverse team of talented professionals who are passionate about data science and its potential to transform businesses. We foster an environment where questions are welcomed, ideas are valued, and innovation is celebrated. Regular team meetings, virtual social events, and cross-functional projects ensure you stay connected with your colleagues and feel part of the arenaflex family.

Compensation and Benefits

We recognize that our team members deserve competitive compensation and comprehensive benefits. The hourly rate for this position ranges from $20 to $30 per hour, depending on experience and qualifications. In addition to competitive pay, arenaflex offers a range of benefits including:

• Health and wellness benefits including medical, dental, and vision coverage.


• Retirement savings plans with company matching contributions.


• Paid time off including vacation, holidays, and personal days.


• Employee assistance programs supporting mental health and well-being.


• Remote work stipends to help cover home office expenses and internet costs.


• Professional development reimbursement for courses, certifications, and conferences.


• Flexible scheduling to support work-life balance.

How to Apply

If you are excited about the opportunity to drive innovation at arenaflex and possess the required qualifications, we encourage you to apply for this position. We are looking for passionate individuals who are ready to make an impact and contribute to our mission of transforming retail through data science.

To apply, please submit your resume and a compelling cover letter that highlights your experience and achievements in data science. We would love to learn about your specific projects, the business impact of your work, and how you envision contributing to the arenaflex team.

arenaflex is an equal opportunity employer. We are committed to providing reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) with the application process upon your request as required to comply with applicable laws.

Join arenaflex today and be part of a team that is shaping the future of retail analytics. Your expertise in data science can help us create more personalized customer experiences, optimize operations, and drive business growth. We look forward to receiving your application and potentially welcoming you to our team!