Senior Data Scientist, UB Analytics

Hybrid work
Udemy is headquartered in San Francisco with global offices in Australia, India, Ireland, Türkiye, and other US locations. Our robust hybrid work model spans San Francisco, Denver, Ankara, Dublin, Mexico City and Melbourne.

This hybrid position requires two days per week in the office at the nearest hub.

About You

As a Data Scientist on the Udemy Business Analytics team, you are a skilled professional with a solid foundation in predictive analytics and data science methodologies. You excel in extracting actionable insights from data to drive strategic decisions and enhance revenue growth. Your expertise lies in applying advanced statistical techniques and machine learning algorithms to solve complex business problems. You are eager to work collaboratively with stakeholders to deliver impactful solutions that drive business success.

About this Role
The Data Scientist plays a crucial role in supporting the Customer Success and Sales teams through advanced data analysis and predictive modeling. This position involves working closely with cross-functional teams to drive revenue growth, reduce customer churn, and enhance operational efficiency. Reporting directly to the Manager of Data Science, you will contribute to the development of innovative solutions that drive business impact.

What You'll Be Doing

Cross-functional Collaboration & Communication:

• Collaborate with cross-functional stakeholders, supporting synergy across the organization.
• Communicate effectively with non-technical stakeholders.
• Partner closely with Customer Success and Sales teams to provide data-driven insights and support decision-making processes.

Predictive Data Science:

• Develop and implement advanced predictive models and forecasting methods to drive revenue growth and optimize business processes.
• Apply causal inference methods to evaluate the impact of business initiatives and identify opportunities for improvement.

Operational Excellence:

• Optimize data management processes and workflows to enhance operational efficiency and data quality.
• Contribute to the establishment and maintenance of Key Performance Indicators (KPIs) for sales development and customer success, leveraging predictive analytics to drive actionable insights.

Revenue Growth:

• Utilize predictive modeling techniques to assist in monitoring the sales pipeline and analyze relevant metrics to provide actionable insights.
• Support ongoing analysis of customer retention and revenue trends, leveraging advanced statistical methods to identify opportunities for growth.

Analytical Support and Proactive Insights:

• Evaluate business performance using advanced statistical techniques, contributing to the identification of root causes and providing proactive data-driven insights to stakeholders.
• Assist in making recommendations to improve business productivity and performance, leveraging predictive analytics to identify leading indicators and mitigate risks.

What You’ll Have

• Bachelor’s degree or higher in a related field, with a focus on data science, statistics, or a related quantitative discipline.
• 5+ years of relevant experience in data science, with a demonstrated ability to apply advanced predictive modeling techniques to drive business impact.
• Proficiency in SQL for data extraction and manipulation.
• Proficiency in programming languages such as Python for data analysis and automation.
• Proficiency in statistical analysis and machine learning, with knowledge in causal inference methods, forecasting, regression, and time series modeling.
• Familiarity with Business Intelligence tools such as Tableau, with an understanding of best practices for dashboarding and visualization.
• Strong communication skills, with the ability to convey complex concepts clearly and effectively to stakeholders.
• Strong organizational skills, with the ability to manage multiple projects and deadlines effectively.
• A tech-curious mindset with a willingness to learn new technologies and methodologies to stay at the forefront of data science innovation.

We understand that not everyone will match each of the above qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!

Life at Udemy
We aspire to be as vibrant and dynamic as the communities we serve, as inquisitive as those who use our platform, and as revolutionary as the future we strive to open for everyone. Here are some of the things we love about life at Udemy:

•  We’re invested in creating an inclusive environment that welcomes a diverse range of backgrounds and experiences. From creating employee resource groups, ensuring we’re a Fair Pay Workplace, and building a flexible work culture, our belonging, equity, diversity, and inclusion (BEDI) initiatives always put our people first. We want you to be able to bring your authentic self to work because when we all do, we’re better for it.
• Learning is what we do – inside and out. Our Learning & Development team is second to none, helping ensure your journey is one of continuous progression. You’ll also have unlimited access to Udemy courses, monthly UDays (meeting-free professional development days), and a generous annual professional development stipend.
• Our reason to exist is to revolutionize learning – that calls for taking risks and learning from failures. Whether it’s our hackathons (a company-wide effort to envision new possibilities for our product) or sharing our prototypes, we see experimentation as a crucial step on the path to success.
• We’re committed to creating world-class employee experiences and are proud of the recognition of this by Great Place to Work and Built In Best Places to Work.

Of course, the best thing about being part of Udemy is knowing your work makes a difference for people and organizations around the world. You’ve got the skills; why not use them to help others develop theirs?At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability.  If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at [email protected]. We will consider for employment qualified applicants with arrest and conviction records.

Udemy US Benefits
Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Here’s a sneak peek at just a few highlighted benefits if you’re a full-time Udemate based in the United States:

• Core Benefits: Comprehensive medical, dental, vision, life/AD&D, and disability coverage
• HSA/FSA/Commuter: Pre-tax savings/spending plans, including HSA employer contributions
• Transgender Benefits: Expanded medical coverage for gender-affirming care
• Parental Benefits: Financial assistance for fertility (including egg-freezing), adoption, and surrogacy expenses; twelve weeks of paid family bonding for birth, surrogacy, adoption, and foster placement (plus up to eight to twelve weeks of paid disability leave for birthing parents) as well as a two-week “ease-back” program that enables parents to return part-time at full pay
• Whole U: Fully paid memberships for meditation/mindfulness, therapy/coaching visits, financial planning, fertility and family building, maternity and newborn care, parenting and pediatrics, menopause care, breastmilk shipping, and caregiving support
• Learning: Free access to Udemy and Udemy Business plus a yearly stipend to spend on professional development
• Retirement: Pre-tax and Roth 401(k) plan with an employer contribution
• Charitable Giving: Corporate charitable match for eligible nonprofits and charities
• Vacation: Flexible vacation for salaried Udemates and fifteen days per year for hourly
• Holidays: Twelve paid holidays throughout the year