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About arenaflex
Welcome to arenaflex, where innovation meets opportunity! As one of the world's leading home improvement retailers, we're on a mission to transform how millions of customers bring their visions to life. But behind the scenes, we're equally committed to transforming how we leverage data to drive business excellence, enhance customer experiences, and shape the future of retail analytics.
At arenaflex, we believe that data is more than just numbers—it's the key to unlocking extraordinary possibilities. Our Advanced Analytics team sits at the heart of this transformation, building cutting-edge infrastructure that empowers decision-makers across every level of the organization. From optimizing supply chains to personalizing customer journeys, our data science initiatives are making tangible impacts on millions of lives every day.
We're currently seeking a visionary Lead Data Scientist to join our dynamic analytics team in New York. This is more than just a job—it's an opportunity to shape the future of retail through the power of data science, mentor emerging talent, and drive innovations that will define the next generation of home improvement retail.
Position Overview
As a Lead Data Scientist at arenaflex, you'll be responsible for driving data science initiatives that accelerate business productivity, enhance operational efficiencies, and deliver exceptional customer experiences. You'll play a pivotal role in advancing our high-performance analytics infrastructure that informs critical business decisions by applying deep expertise in both business strategy and advanced analytical modeling techniques.
This leadership role offers the unique opportunity to specialize in one or more cutting-edge data science domains, including optimization, computer vision, recommendation systems, search algorithms, or natural language processing (NLP). You'll be at the forefront of identifying business opportunities where data science can provide a competitive advantage, working collaboratively with cross-functional teams to transform raw data into actionable intelligence.
Key Responsibilities
Solution Development & Improvement (30%)
- Design and develop sophisticated algorithms and models to analyze large datasets and extract meaningful business insights
- Select appropriate analytical methodologies and apply advanced statistical techniques to solve complex business challenges
- Communicate findings, insights, and recommendations effectively to both technical and non-technical leadership and business partners
- Clearly articulate the business impact of analytical recommendations to drive strategic decision-making and successful implementation
- Develop scalable solutions that can be replicated and applied across multiple business units
Project Management & Team Leadership (25%)
- Lead and manage large-scale, complex data science projects and cross-functional teams
- Provide strategic guidance on work prioritization and ensure exceptional quality of deliverables
- Mentor and coach junior data scientists and team members to enhance their technical capabilities and career growth
- Collaborate with senior leadership to ensure alignment of project goals with organizational objectives
- Contribute to staffing decisions and participate actively in the recruitment and hiring process
- Serve as a Subject Matter Expert (SME) for one or more data science methodologies, including both predictive and prescriptive analytics
- Lead data science communities of practice across multiple business units
Business Collaboration (20%)
- Leverage deep business knowledge to inform solution strategy and analytical approaches
- Build strong trust-based relationships with internal clients and cross-functional partners
- Provide technical guidance and training on advanced analytics methodologies to the broader data science community
- Partner with IT teams to evaluate emerging tools and maintain technical agility for data science initiatives
- Proactively identify new business opportunities where data science can deliver competitive advantages
- Act as a strategic advisor to business leaders on data-driven decision-making
Technical Research & Innovation (25%)
- Stay current with emerging technologies and methodologies by attending industry conferences and publishing research papers
- Contribute to the continuous improvement of data science practices through development of replicable solutions
- Create comprehensive documentation, including data products, project documentation, and process flowcharts
- Define best practices and develop a clear vision for data analysis and model productionalization
- Own the library of reusable algorithms and ensure all code and models are thoroughly documented for future use
- Develop expertise in one or more advanced prescriptive modeling techniques, including optimization, computer vision, recommendation systems, search, or NLP
- Drive innovation by exploring new analytical approaches and technologies
Minimum Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field
- Must be eighteen years of age or older
- Must be legally authorized to work in the United States
- Demonstrated expertise in predictive modeling, data mining, and data analysis
- Strong proficiency in applying statistical techniques to identify key insights that solve business problems
- Minimum of 5-7 years of professional experience in data science or analytics roles
- Proven track record of leading data science projects from conception to deployment
Preferred Qualifications
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or related field
- Experience in retail, e-commerce, or consumer goods industries
- Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong programming skills in Python, R, or Scala
- Experience with cloud platforms (AWS, Azure, or Google Cloud)
- Knowledge of big data technologies such as Spark, Hadoop, or Kafka
- Excellent communication and presentation skills with the ability to explain complex concepts to non-technical audiences
- Experience mentoring junior team members and leading cross-functional projects
Skills & Competencies
- Technical Excellence: Deep knowledge of statistical modeling, machine learning algorithms, and data visualization techniques
- Business Acumen: Ability to translate business challenges into analytical solutions
- Leadership: Strong team management and mentorship capabilities
- Communication: Exceptional verbal and written communication skills
- Problem-Solving: Creative approach to tackling complex business problems
- Collaboration: Proven ability to work effectively with cross-functional teams
- Innovation: Forward-thinking mindset with passion for exploring new technologies and methodologies
Career Growth & Learning Opportunities
At arenaflex, your career journey is limited only by your ambition. As a Lead Data Scientist, you'll have access to comprehensive professional development programs, including advanced training in cutting-edge analytics technologies, leadership development courses, and opportunities to attend industry-leading conferences.
You'll work alongside some of the brightest minds in the industry, collaborating on projects that push the boundaries of what's possible in retail analytics. Whether you're looking to deepen your expertise in a specific domain like computer vision or NLP, or broaden your skills across multiple areas, arenaflex provides the resources and support you need to achieve your career goals.
Our commitment to internal promotion means that top performers have clear pathways to senior leadership roles, including Principal Data Scientist, Director of Analytics, and beyond. You'll be empowered to take ownership of your career trajectory while making meaningful contributions to the organization's success.
Work Environment & Culture
At arenaflex, we foster a collaborative, inclusive, and innovation-driven culture. Our Analytics Center of Excellence brings together talented professionals from diverse backgrounds, all united by a shared passion for transforming data into actionable insights.
We believe in work-life balance and offer flexible working arrangements to support your well-being. While this position is based in New York, we embrace hybrid work models that allow you to balance in-office collaboration with remote work flexibility. Most of your time will be spent in a comfortable office environment, with occasional travel (under 10%) for team meetings, conferences, and training sessions.
You'll find that arenaflex values curiosity, creativity, and continuous learning. Our open-door policy encourages cross-functional collaboration, and our leadership team is genuinely invested in your success. Regular team-building activities, knowledge-sharing sessions, and innovation hackathons create a vibrant workplace where new ideas are celebrated.
Compensation & Benefits
We offer a competitive compensation package that reflects your expertise and contributions:
- Starting Salary: $20 - $30 per hour (commensurate with experience)
- Full-Time Position: 40 hours per week with consistent scheduling
- Comprehensive Health Benefits: Medical, dental, and vision coverage
- Retirement Plan: 401(k) with company matching
- Paid Time Off: Generous vacation, sick leave, and holiday pay
- Professional Development: Tuition reimbursement and training opportunities
- Employee Discount: Exclusive discounts on arenaflex products and services
- Wellness Programs: Health and wellness resources to support your overall well-being
Join Our Team
Are you ready to make an impact? Are you passionate about using data to drive meaningful business outcomes? Do you thrive in environments where innovation is celebrated and collaboration is key?
If so, we invite you to apply for this exciting opportunity to join the arenaflex family. As a Lead Data Scientist, you'll be more than an employee—you'll be a catalyst for transformation, helping us redefine what's possible in retail analytics while building a career you'll love.
Take the next step in your career journey. Apply today and discover why arenaflex is a great place to work, grow, and succeed. We can't wait to see the amazing things you'll accomplish with us!
Note: This position requires occasional overnight travel (less than 10% of the time). The role involves primarily sedentary work with occasional movement around the office. All new hires must be authorized to work in the United States and be at least 18 years old.