Job Details

Join to apply for the Senior Data Scientist role at Alo Yoga Join to apply for the Senior Data Scientist role at Alo Yoga Get AI-powered advice on this job and more exclusive features. WHY JOIN ALO? Mindful movement. It's at the core of why we do what we do at ALO-it's our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That's the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. WHY JOIN ALO? Mindful movement. It's at the core of why we do what we do at ALO-it's our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That's the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life. OVERVIEW We are seeking an experienced Senior Data Scientist to join our team to lead the development of analytics and growth strategies across our entire business. The Senior Data Scientist will be responsible for managing and analyzing large data sets, developing statistical models and machine learning algorithms, and providing insights to drive business growth for our retail operations. RESPONSIBILITIES Support the development of e-commerce and retail analytics and growth strategies, including market research, customer segmentation, and predictive modeling. Collaborate with cross-functional teams, including sales, marketing, product, and engineering to develop data-driven solutions that enhance customer experience and drive business growth. Develop statistical models and machine learning algorithms to analyze large data sets and identify opportunities to improve business performance. Build and maintain dashboards and reports that visualize data insights and performance metrics for executive leadership. Communicate complex data insights and models to non-technical stakeholders and translate findings into actionable recommendations. QUALIFICATIONS Bachelor's or master's degree in a quantitative field, such as mathematics, statistics, or computer science PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred 5+ years of experience in data science, including experience in DTC, e-commerce, or retail analytics Strong proficiency in statistical modeling and machine learning algorithms, such as regression analysis, clustering, and decision trees Experience with programming languages such as Python or R and SQL Jupyter, & ML libraries Strong communication and presentation skills, with the ability to translate complex data insights to non-technical stakeholders Strong leadership and/or management skills, with experience managing and mentoring a team of data scientists Proficiency in productionizing algorithms, from data ingest to model management, using AWS and/or Azure Self-starter: able to drive projects and take technical leadership of projects Experience in start-ups or other fast-paced environments preferred Experience and excitement partnering with Data Analytics and Data Engineering Currently based in the greater LA area or open to relocation and consent to working onsite full-time The base salary range for this position is $160,000-$200,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company's total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits. For CA residents, Job Applicant Privacy Policy HERE. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Retail Apparel and Fashion Referrals increase your chances of interviewing at Alo Yoga by 2x Sign in to set job alerts for Senior Data Scientist roles. Director, Data Science - Personalization & Product Analytics Los Angeles Metropolitan Area $122,000.00-$169,000.00 2 weeks ago Senior HR Data/Report Systems Analyst (Oracle HCM) - Remote Beverly Hills, CA $91,728.00-$146,764.80 1 week ago Los Angeles Metropolitan Area $122,000.00-$169,000.00 2 weeks ago People Tech - System Architect-Data Science Senior Manager Los Angeles, CA $127,626.00-$237,014.00 1 month ago Associate Director of Product, Monetization Santa Monica, CA $124,400.00-$230,300.00 1 day ago Associate Director of Product, Monetization Santa Monica, CA $124,400.00-$230,300.00 2 days ago Los Angeles, CA $85,000.00-$120,000.00 4 hours ago Los Angeles Metropolitan Area $110,000.00-$125,000.00 3 weeks ago Burbank, CA $114,900.00-$154,100.00 2 months ago SENIOR DATA SCIENTIST/EMERGENCY APPOINTMENTS HOMELESSNESS Los Angeles, CA $145,000.00-$204,000.00 2 weeks ago Los Angeles, CA $170,000.00-$230,000.00 1 month ago Los Angeles, CA $173,000.00-$242,000.00 2 weeks ago DATA SCIENTIST / EMERGENCY APPOINTMENT HOMELESSNESS Senior MAQR (ML & Quantitative Research) Data Scientist Santa Monica, CA $190,000.00-$190,000.00 3 weeks ago Data Scientist, Marketing Insights and Analytics Los Angeles, CA $136,800.00-$228,000.00 4 weeks ago Los Angeles, CA $185,000.00-$205,000.00 10 hours ago Northridge, CA $90,000.00-$150,000.00 1 month ago Los Angeles, CA $200,000.00-$275,000.00 2 weeks ago Culver City, CA $135,000.00-$205,000.00 1 week ago Los Angeles, CA $170,000.00-$230,000.00 1 month ago Applied Sr Data Scientist - Fintech Foundation Research Data Scientist, Ads Safety and Spam Los Angeles, CA $141,000.00-$202,000.00 2 weeks ago Los Angeles, CA $133,000.00-$235,000.00 18 hours ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr