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About skillspath – Pioneering the Future of E‑Commerce
skillspath is a global leader in the e‑commerce ecosystem, delivering millions of products to customers worldwide through a seamless blend of technology, design, and logistics. Our mission is to inspire people to create a home they love, and we achieve this by leveraging massive data sets, cutting‑edge artificial intelligence, and a relentless focus on customer experience. With a vibrant headquarters in Boston and a culture that celebrates curiosity, collaboration, and continuous learning, skillspath offers an environment where data‑driven innovators can thrive.
Why This Role Matters
As a Senior Data Science Analyst on the Search & Recommendation team, you will be at the heart of skillspath’s product recommendation engine—the engine that guides shoppers to discover items they didn’t even know they needed. Your insights will directly influence the algorithms that power personalized experiences for millions of users, driving revenue, engagement, and brand loyalty. This is a rare opportunity to shape the future of recommendation technology at a company that values data as a strategic asset.
Key Responsibilities
- Design, implement, and evaluate A/B experiments for new recommendation algorithms, ensuring rigorous statistical validity and clear business impact.
- Develop and maintain key performance indicator (KPI) dashboards, including anomaly detection tools and high‑level estimation visualizations.
- Conduct exploratory data analysis (EDA) such as clustering and segmentation to uncover hidden patterns that inform product strategy.
- Build, test, and iterate on in‑house tooling (e.g., QA frameworks) that accelerate model validation before large‑scale rollouts.
- Collaborate closely with product managers, AI engineers, and data scientists to translate business problems into analytical solutions.
- Communicate findings and strategic recommendations to senior cross‑functional leaders, turning complex data stories into actionable business decisions.
- Mentor junior analysts and contribute to a culture of knowledge sharing, code reviews, and best‑practice documentation.
Essential Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative discipline. Advanced degrees are a plus.
- Technical Expertise: Deep, hands‑on experience with SQL (including query optimization, storage design, and string parsing) across platforms such as Vertica, Hive, or Snowflake.
- Programming Proficiency: Advanced Python skills, including mastery of libraries such as Pandas, NumPy, Scikit‑learn, Matplotlib, and Jupyter notebooks.
- Experimental Design: Proven track record designing and executing A/B tests that drive product decisions and revenue growth.
- Machine Learning Knowledge: Practical experience applying algorithms like decision trees, random forests, gradient boosting, and deep learning models in a production environment.
- Communication: Exceptional written and verbal communication abilities, capable of presenting technical concepts to non‑technical stakeholders.
- Collaboration: Demonstrated ability to work proactively with cross‑functional partners, building trust and delivering results in fast‑paced settings.
- Ownership & Impact: History of taking initiative, owning end‑to‑end projects, and delivering measurable business outcomes.
Preferred Qualifications & Additional Strengths
- Graduate degree (M.S. or Ph.D.) in a quantitative field.
- Experience with big‑data processing frameworks such as Spark or Hadoop.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
- Knowledge of recommendation‑specific techniques like collaborative filtering, matrix factorization, and reinforcement learning.
- Background in e‑commerce or retail analytics, especially in product discovery or personalization domains.
- Exposure to data visualization tools such as Tableau, Looker, or Power BI.
Core Skills & Competencies
- Analytical Rigor: Ability to dissect large, complex data sets, identify root causes, and propose data‑driven solutions.
- Statistical Acumen: Proficiency in hypothesis testing, confidence intervals, and multivariate analysis.
- Problem‑Solving Mindset: Creative thinker who can translate ambiguous business challenges into clear analytical roadmaps.
- Product Sense: Understanding of how recommendation systems affect user experience, conversion rates, and overall business health.
- Team Player: Collaborative spirit that values diverse perspectives and contributes to a supportive, inclusive environment.
- Adaptability: Comfort thriving in a rapidly evolving, high‑velocity environment where priorities shift frequently.
Career Growth & Learning Opportunities
skillspath invests heavily in the professional development of its people. As a Senior Data Science Analyst, you will have access to:
- Mentorship from senior leaders in AI, product, and engineering.
- Sponsored attendance at industry conferences such as KDD, NeurIPS, and Recsys.
- Internal workshops on advanced machine‑learning techniques, cloud architecture, and data‑engineering best practices.
- Opportunities to transition into senior leadership roles, such as Lead Data Scientist or Product Analytics Manager, as you demonstrate impact.
- Cross‑functional rotation programs that broaden exposure to product management, engineering, and business strategy.
Work Environment & Culture at skillspath
Our Boston office is a vibrant hub where curiosity meets execution. The culture is built on three pillars:
- Innovation: We encourage experimentation, celebrate smart failures, and reward data‑driven breakthroughs.
- Inclusivity: skillspath is committed to equal opportunity, providing accommodations for individuals with disabilities and fostering a diverse workforce.
- Balance: Flexible work hours, generous paid time off, and remote‑work options empower you to maintain a healthy work‑life integration.
From weekly “Data Dive” lunch‑and‑learn sessions to hackathons that turn ideas into prototypes within 48 hours, you’ll find a community that pushes you to grow while having fun.
Compensation, Perks & Benefits
We offer a competitive hourly rate of $24 per hour, complemented by a comprehensive benefits package that includes:
- Health, dental, and vision insurance with multiple plan options.
- 401(k) matching program to help you build long‑term financial security.
- Generous parental leave and family‑friendly policies.
- Employee stock purchase plan (ESPP) allowing you to become a shareholder.
- Wellness stipend, on‑site fitness facilities, and mental‑health resources.
- Continuous learning budget for courses, certifications, and books.
- Transportation subsidies and commuter benefits for Boston‑area employees.
Commitment to Accessibility
skillspath is dedicated to providing equal employment opportunities to all candidates, including those with disabilities. Reasonable accommodations are available throughout the recruitment process and on the job. If you require assistance, please let us know.
Ready to Shape the Future of Recommendation Technology?
If you are a data‑driven storyteller with a passion for turning massive data sets into personalized shopping experiences, we want to hear from you. Join skillspath’s Boston team and help us redefine how millions of shoppers discover the products they love.
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