Bumble Inc. is the parent company of Bumble, Badoo, Fruitz, and Official. The Bumble platform enables people to build healthy and equitable relationships through kind connections. Founded by CEO Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble BFF), and professional networking (Bumble Bizz). Badoo, founded in 2006, is one of the pioneers of web and mobile dating products. Fruitz, founded in 2017, encourages open and honest communication of dating intentions through playful fruit metaphors. Official is an app for couples that promotes open and honest communication between partners and was founded in 2020.
Bumble Inc. is seeking a Senior Data Scientist to lead our efforts in developing sophisticated Customer Lifetime Value (CLV) models tailored specifically for our unique ecosystem. This is a unique opportunity for an experienced MLE/DS who enjoys the fast-paced environment of a growing company, has experience in tech analytics, and has a passion to contribute to helping the Bumble Inc. mission to foster kind connections.
You would ideally have a background in data science at either a dating, social, gaming, or other relevant tech company, with proven experience in driving commercial impact through applying analytics to critical business problems.
In this role, you will collaborate closely with cross-functional teams to harness the power of data and analytics in unlocking key insights into customer behavior and revenue generation. Your primary focus will be on developing advanced CLV models that account for the intricacies of our two-sided marketplace, enabling us to optimize customer acquisition, retention, and monetization strategies.
You bring experience of working with complex sources of revenue, payments, and behavioral data and use that knowledge to partner with stakeholders and senior leaders, taking a holistic approach to find answers. You are comfortable challenging priorities and clearly communicating analytical roadmaps. You're able to effectively balance demands for both tactical and strategic work and also have experience managing projects across analytics engineering, data science, and MLOps.
What you'll do:
1. Lead the development of advanced CLV models tailored to the unique dynamics of our two-sided marketplace, leveraging complex sources of revenue, payments, and behavioral data.
2. Collaborate closely with stakeholders and senior leaders to identify key business problems, challenge priorities, and provide actionable insights derived from CLV modeling.
3. Guide others on techniques and ways of working and help build a culture of critical thinking, commercial acumen, and disciplined execution in alignment with senior management.
4. Drive data science roadmaps by efficiently producing insights that inform decision-making, supporting an extensive experimentation program, and advocating for continual improvement within the team.
5. Take an integrated perspective to analytics, considering all potential drivers to a problem, reviewing existing knowledge, and leveraging expertise from other teams to enhance the effectiveness of CLV modeling efforts.
About you:
1. Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome.
2. Preference for experience working in similar dating/social/gaming tech product industries or else financial services/high-data-volume industries.
3. Proven experience in building and deploying ML and statistical models for demand forecasting, segmentation, and CLV estimation.
4. 3+ years of experience with python/SQL, machine learning/data science tooling such as Kubeflow/Streamlit and visualization tooling such as Looker/Tableau.
5. You have a strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps, agile methodologies, monitoring, and alerting.
6. You have experience working with complex data infrastructures and have experience partnering and guiding the work of data engineering to help facilitate ingestion, warehousing, and optimization of databases.
7. Strong experience with data engineering and data modeling requirements needed to automate reporting and measurement.
Global benefits
Maven Fertility: We offer a $10,000 lifetime benefit opportunity to all employees and their partners around the world. This benefit can be used to support your reproductive journey - from abortion care and related travel costs to fertility treatment, egg-freezing, adoption, surrogacy, and more.
Family & compassionate paid leave: Family leave to support you and your loved ones when needed (including victims of domestic abuse or violent crime).
26 weeks parental leave: 26 weeks paid leave for the primary caregiver following the birth, adoption, surrogacy, or foster care of a child. The secondary caregiver will also receive 26 weeks paid leave after 1 year of employment.
Unlimited paid time off: Take the time you need when you need it.
Company-wide week off: Twice a year, we have a company-wide week off (it's essential for some teams to continue working and they will be offered alternative time off instead).
Focus Fridays: Twice a month we have a no meeting, no deadline, no email, and no Slack rule on a Friday so you can focus without distraction.
Check out more of our local benefits here. #J-18808-Ljbffr