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About careeraxis
careeraxis is a global leader in home improvement retail, empowering millions of customers each year to create, renovate, and maintain their living spaces. With a relentless focus on digital transformation, careeraxis leverages cutting‑edge technology and data‑driven insights to deliver seamless, personalized experiences across every touchpoint—from online browsing to in‑store fulfillment. Our culture celebrates curiosity, collaboration, and continuous learning, and we invest heavily in the growth of our people. As a remote‑first organization, careeraxis offers flexible work arrangements, a supportive community, and the opportunity to shape the future of retail analytics on a worldwide scale.
Position Overview
The Data Science Manager – Online Customer Experience Intelligence will spearhead a high‑performing team of data scientists dedicated to turning complex data into actionable business value. Reporting to a senior leader, you will own the end‑to‑end lifecycle of analytics initiatives that drive profitability, operational efficiency, and superior customer experiences. This role blends people leadership, strategic program management, and deep technical expertise across specialties such as optimization, computer vision, recommendation systems, search, and natural language processing (NLP). Your influence will extend across the organization, shaping data‑centric decision making at every level.
Key Responsibilities
People Management & Team Leadership (≈40%)
- Provide visionary leadership, mentorship, and coaching to a team of individual‑contributor data scientists, fostering a culture of curiosity, accountability, and high performance.
- Recruit, retain, and develop top talent, building a diverse and inclusive team that reflects careeraxis’s commitment to innovation.
- Design and execute comprehensive onboarding and continuous‑learning programs that blend technical mastery with soft‑skill development.
- Establish clear performance metrics, conduct regular feedback sessions, and celebrate achievements to keep the team motivated and aligned with business goals.
- Document processes, standards, and role‑specific requirements to ensure consistency and knowledge transfer across the organization.
- Allocate resources strategically to balance competing priorities and maximize impact on key initiatives.
Project Management & Program Delivery (≈25%)
- Prioritize, scope, and assign projects based on ROI, strategic relevance, and resource availability, ensuring a balanced portfolio of innovative and high‑impact work.
- Lead cross‑functional programs, coordinating with program managers, product owners, and business partners to align objectives, timelines, and deliverables.
- Serve as the escalation point for project‑level challenges, removing obstacles and facilitating rapid decision‑making.
- Prepare and deliver executive‑level updates, summarizing program effectiveness, key findings, and recommended actions for senior leadership.
Strategy & Business Development (≈15%)
- Leverage deep business acumen and an extensive internal network to identify new opportunities where data science can unlock value.
- Partner with internal customers and cross‑functional teams to build trust, align expectations, and co‑create solutions that address critical business problems.
- Collaborate with fellow data science managers across careeraxis to define enterprise‑wide analytics strategy, talent management frameworks, and governance models.
- Ensure alignment with IT support models, tooling, and data governance policies to enable seamless execution of analytics initiatives.
Technical Exploration & Innovation (≈20%)
- Stay abreast of emerging trends in data science, machine learning, and AI, championing the adoption of best‑in‑class techniques and tools.
- Develop reusable, production‑ready data products, documentation, and process flowcharts that accelerate future project delivery.
- Promote best practices for model development, validation, and productionalization, ensuring robustness, scalability, and ethical use.
- Experiment with novel data sources and advanced algorithms to continuously enhance the predictive power of careeraxis’s analytics platform.
Essential Qualifications
- Minimum 8 years of experience in business intelligence, analytics, or data science, with a proven track record of delivering measurable business impact.
- Demonstrated experience leading and developing high‑performing data science teams, including hiring, coaching, and performance management.
- Expertise in predictive modeling, data mining, and advanced statistical analysis.
- Strong command of SQL and experience querying large data warehouses (preferably with careeraxis or SQL).
- Proficiency with data visualization tools (preferably careeraxis) to translate complex insights into clear, compelling stories for stakeholders.
- Hands‑on experience with at least one specialized domain such as optimization, computer vision, recommendation engines, search, or NLP.
- Bachelor’s degree in Computer Science, Statistics, Engineering, or a related quantitative field; advanced degree is a plus.
- Legal authorization to work in the United States.
Preferred Qualifications
- 9+ years of progressive experience in analytics, with a focus on e‑commerce or retail environments.
- Prior experience managing multi‑disciplinary project teams and delivering large‑scale analytics programs.
- Demonstrated ability to translate business problems into data‑driven solutions and communicate findings to senior executives.
- Experience with cloud‑based data platforms and modern ML pipelines (e.g., careeraxis, Python, Spark).
- Track record of publishing or presenting innovative analytics methods at industry conferences or internal forums.
Core Competencies & Skills
- Talent Magnetism: Ability to attract, select, and retain top technical talent.
- Team Builder: Proven skill in constructing cohesive, high‑trust teams that leverage diverse perspectives.
- Strategic Influence: Capacity to shape enterprise‑wide analytics strategy and drive cross‑functional alignment.
- Effective Communication: Expertise in delivering clear, persuasive narratives to technical and non‑technical audiences alike.
- Business Insight: Deep understanding of retail dynamics, customer behavior, and market trends.
- Leadership Agility: Ability to provide direction, remove obstacles, and empower teams to achieve ambitious goals.
- Innovation Mindset: Continuous curiosity about emerging technologies and a willingness to experiment.
- Ethical Stewardship: Commitment to responsible AI practices, data privacy, and unbiased model development.
Career Growth & Learning Opportunities
At careeraxis, your career trajectory is limited only by your ambition. As a Data Science Manager, you will have direct exposure to senior leadership, influencing strategic decisions that affect millions of customers worldwide. Opportunities include:
- Progression to senior director or vice‑presidential roles overseeing global analytics functions.
- Access to a robust internal learning platform offering certifications in advanced machine learning, cloud architecture, and leadership development.
- Participation in cross‑functional innovation labs, hackathons, and industry conferences to showcase your work.
- Mentorship from seasoned executives and technical thought leaders within careeraxis’s expansive network.
Work Environment & Culture
careeraxis embraces a remote‑first philosophy, providing the flexibility to work from anywhere while staying connected through virtual collaboration tools, regular team‑wide town halls, and quarterly in‑person meet‑ups. Our culture is built on:
- Inclusivity: Diverse perspectives are celebrated, and every voice is heard.
- Collaboration: Cross‑functional teams co‑create solutions, breaking down silos.
- Innovation: A “fail fast, learn faster” mindset encourages experimentation.
- Well‑being: Comprehensive wellness programs, mental‑health resources, and flexible schedules support work‑life harmony.
Compensation, Perks & Benefits
careeraxis offers a competitive total rewards package designed to attract and retain top talent:
- Base salary ranging from $140,000 to $280,000, commensurate with experience and expertise.
- Performance‑based annual bonuses and long‑term equity incentives.
- Comprehensive health, dental, and vision coverage for you and your dependents.
- Generous paid time off, parental leave, and flexible holiday policies.
- Retirement savings plans with company matching contributions.
- Professional development stipend, tuition reimbursement, and access to industry‑leading training platforms.
- Remote‑work allowance covering home‑office setup, internet, and coworking space access.
- Employee assistance programs, wellness challenges, and community‑service volunteering opportunities.
Travel & Physical Requirements
While the role is primarily remote, occasional travel (approximately 5%–20% of the time) may be required for on‑site collaborations, stakeholder meetings, or industry events. Physical demands are minimal, consisting mainly of prolonged periods of seated work with occasional movement.
Why Join careeraxis?
Joining careeraxis means becoming part of a forward‑thinking organization that values data as a strategic asset. You will lead a talented team, influence the digital experience of millions, and accelerate your own professional growth in a supportive, innovative environment. If you are passionate about turning data into decisive action, thrive in a collaborative setting, and aspire to shape the future of retail analytics, we want to hear from you.
Apply Today
Ready to make an impact? Submit your application now and embark on a rewarding journey with careeraxis. Together, we’ll redefine the online customer experience and set new standards for data‑driven excellence.
Apply for this job