Senior Data Scientist – Predictive Analytics, Machine Learning & Advanced Modeling (Remote)

About arenaflex

arenaflex is a forward-thinking, data-driven organization committed to transforming the way businesses understand their customers, optimize operations, and deliver meaningful outcomes. Operating at the intersection of advanced analytics, cloud computing, and artificial intelligence, arenaflex partners with enterprise stakeholders across industries to convert complex, large-scale data into actionable strategies. Our culture is built on intellectual curiosity, collaboration, and a relentless commitment to innovation. We believe that great science paired with great storytelling is what drives smarter business decisions, and we are seeking a talented Senior Data Scientist to join our growing remote team and help shape the future of intelligent decision-making.

Position Overview

We are looking for a highly motivated and experienced Senior Data Scientist to design, develop, and deploy advanced analytics solutions that drive measurable business impact. In this role, you will leverage cutting-edge machine learning techniques, statistical modeling, and predictive analytics to extract insights from massive datasets and deliver strategic recommendations. You will serve as a trusted consulting partner to program leaders, collaborating across finance, research, engineering, and executive teams to shape the analytical direction of key initiatives. If you thrive on solving complex problems, mentoring others, and translating sophisticated quantitative methods into clear business value, arenaflex wants to hear from you.

Key Responsibilities

• Design, build, and optimize predictive and prescriptive models using advanced machine learning, statistical modeling, probability theory, and decision science techniques.
• Innovate by continuously exploring, testing, and adapting new modeling methodologies to improve analytical performance and accuracy.
• Translate complex business questions into well-structured analytical frameworks, identifying the right data, methods, and metrics to deliver meaningful solutions.
• Apply rigorous statistical analysis to large, complex datasets, including techniques such as customer profiling, segmentation analysis, survey design, time series modeling, and data mining.
• Develop optimization algorithms, recommendation engines, and decisioning systems that power enterprise-scale applications.
• Program, test, and deploy solutions using Python, PySpark, Matplotlib, TensorFlow, PyTorch, and related technologies within modern data engineering ecosystems.
• Build and evaluate supervised and unsupervised learning algorithms, including decision trees, regression models, XGBoost, K-means clustering, anomaly detection, interpretable ML, and Bayesian methods.
• Architect and maintain cloud-based analytics workflows on Azure and Databricks, with efficient querying in Snowflake.
• Implement best-in-class software engineering practices, including version control with GitHub, continuous integration and continuous delivery (CI/CD), and agile development methodologies.
• Partner cross-functionally with finance, research, software engineering, and business leadership to define product requirements and provide ongoing analytical support.
• Communicate findings clearly and persuasively to both technical and non-technical audiences, including executive leadership, through written reports, presentations, and visualizations.
• Contribute to financial decision-making by quantifying risk, modeling outcomes, and providing data-driven forecasts that inform business strategy.
• Lead, mentor, and develop a team of data scientists and analysts, fostering a culture of excellence, curiosity, and continuous learning.

Basic Qualifications

• Bachelor's degree plus a minimum of four years of experience in data science, machine learning, quantitative analysis, or computational fields; OR a High School diploma/GED with a minimum of seven years of relevant experience.
• Master's degree (M.S.) in a STEM field such as Computer Science, Statistics, Physics, Mathematics, Data Science, Machine Learning, or a closely related discipline.
• At least four years of hands-on experience working with large-scale, complex datasets to build, optimize, and deploy machine learning, predictive, forecasting, or optimization models.
• Advanced proficiency in SQL, Python, PySpark, or comparable programming languages.
• Demonstrated expertise in exploratory data analysis, feature engineering and selection, pattern detection, distribution analysis, results visualization, and insight extraction to support informed, data-driven business decisions.
• Experience building and interpreting decision trees and classification models.
• Strong working knowledge of supervised learning techniques (linear and logistic regression, time series modeling, generalized linear models, decision trees, support vector machines, etc.) and unsupervised learning techniques (K-means, hierarchical clustering, association rules, principal component analysis).
• Experience with cloud-based machine learning platforms, distributed computing frameworks, data pipelines, cloud data warehouses, and serving engines.
• Proven ability to design, execute, and analyze A/B experiments and translate results into actionable recommendations.
• Exceptional communication skills with the ability to convey rigorous technical concepts to non-technical stakeholders.
• Demonstrated success thriving in dynamic, fast-paced environments with ambiguity, competing priorities, and the need to deliver measurable results.
• Track record of effectively communicating technical solutions and advocating for analytical best practices to research scientists, engineering teams, and business audiences.
• At least two years of experience directly contributing to financial decisions within an enterprise environment.
• At least two years of experience in direct management, indirect management, or cross-functional team leadership.
• Willingness to travel up to 10% of the time for business purposes, both domestically and internationally.

Preferred Qualifications

• Ph.D. in a STEM field such as Computer Science, Statistics, Physics, Mathematics, Data Science, Machine Learning, or a closely related discipline.
• Hands-on experience with IoT platforms and Edge AI implementations.
• Experience with Reinforcement Learning techniques and frameworks.
• Industry experience in healthcare, retail, pharmacy, or consumer analytics.

Skills and Competencies for Success

At arenaflex, we value both technical depth and interpersonal excellence. The ideal candidate will demonstrate strong analytical rigor, creative problem-solving, and a bias toward action. You should be comfortable working with stakeholders at every level of the organization and translating business needs into scalable analytical solutions. A passion for mentoring junior team members, staying current with emerging research, and continuously raising the bar for analytical quality is essential.

Career Growth and Learning Opportunities

Joining arenaflex means becoming part of a community that invests deeply in your professional development. You will have access to:

• Mentorship from senior leaders and recognized experts in data science and machine learning.
• Conference attendance, certification programs, and tuition reimbursement for advanced degrees.
• Internal research time to explore novel methodologies and publish findings.
• Defined career pathways into engineering management, principal scientist, or distinguished architect roles.
• Cross-functional project opportunities that expand your business acumen and industry exposure.

Work Environment and Company Culture

arenaflex is a remote-first organization that values flexibility, autonomy, and results. Our team members are distributed across the country, connected by a shared commitment to excellence and a culture of mutual respect. We celebrate diversity of thought and background, and we believe that the best ideas come from teams that reflect the diversity of the customers and communities we serve. You will collaborate with some of the brightest minds in the industry in a supportive, inclusive environment that encourages innovation and rewards impact.

Compensation, Perks, and Benefits

arenaflex offers a competitive compensation package designed to attract and retain top talent, including:

• Comprehensive medical, prescription drug, dental, and vision coverage.
• Company-paid life insurance and voluntary personal accident insurance.
• Retirement savings plan with 401(k) matching.
• Employee stock purchase plan to share in the company's long-term success.
• Generous paid time off (PTO) and company holidays.
• Paid parental leave to support growing families.
• Transportation benefit plan for commuting flexibility.
• Employee product and service discounts.
• Wellness programs, mental health resources, and employee assistance programs.

Equal Employment Opportunity and Compliance

arenaflex is an equal opportunity employer committed to building a diverse and inclusive workforce. We comply with all applicable federal, state, and local labor laws, including the Fair Labor Standards Act (FLSA), Title VII of the Civil Rights Act of 1964, the Americans with Disabilities Act (ADA), and the Occupational Safety and Health Act (OSHA). We provide equal employment opportunities to all individuals regardless of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. We maintain a workplace free from discrimination, harassment, and retaliation, and we are committed to ethical business practices, corporate social responsibility, environmental stewardship, and the protection of employee and customer data privacy.

How to Apply

If you are a seasoned data scientist who is passionate about leveraging machine learning and advanced analytics to solve real-world business problems, arenaflex would love to hear from you. This is your opportunity to join a high-performing remote team, work on challenging problems at scale, and make a meaningful impact from day one. Take the next step in your career and apply today to become a part of the arenaflex story.