Senior Data Scientist – Analytics
Website TalentBurst, Inc.
Company : TalentBurst, Inc.
Country: United States
Location : San Francisco, California
Post: Fri, 10 Sep 2021 14:31:57 GMT
Expires: Sun, 10 Oct 2021 23:59:59 GMT
Apply Job : Apply Online
—————————— Job Description ——————————
Job Title-Senior Data Scientist – Analytics
Duration-4-5 Months contract,Possibility of extension
Note-This job is available to work only on W-2 due to client’s restrictions.
About the team
We are looking for a Senior Data Scientist to join the Guest Experience team.
The team is responsible for the end to end guest experience on client,from the landing pages such as the homepage, the search and listing pages, the signup and booking flow and the actual pre and on-trip experience. The Data Science team works closely with product and engineering to power the guest side data ecosystem and influence product development.
You will join the guest lifecycle data science team, with 3 other data scientists, responsible to understand and grow guests from organic growth channels (SEO, emails, push, co-travellers) to the quality of the trip experience and impact on repeat travel, as well as in product trade-offs such as cross-category upsells (Experiences, Plus, Luxe, etc.). You will build the foundations of scalable analytics and measurement frameworks , and influence product strategy.
The ideal candidate has an eye for detail, great communication, and a keenness for problem solving. In this role you will:
Develop analytics frameworks and foundations to enable easy actionable insights and reliable measurement.
Collaborate with data engineers on infrastructure, tools and processes that enable better data logging, and manage the timeliness and accessibility of data tables. Build foundations of attribution data models for upsells across the entire guest journey Define data models/representations to provide a lens of guests’ trips as a single unit incorporating trips with multiple bookings and co-travelers.
Conduct exploratory analysis – go deep into the data to develop hypotheses and to answer complex business questions.
Think strategically about how to scale the work that you and the teams do. Develop tools and automated processes that project the work out to a broader audience. Strategize on democratizing data and insights to make analyses easily repeatable and generalizable by other team members in the future.
5+ years of relevant industry experience
Excellent written and oral communication skills
Experience with an ETL framework like Airflow
Proven ability to succeed in both collaborative and independent work environments
Passion for high data quality and scaling data science work
Demonstrated track record of product leadership and ability to lead and influence teams
Product analytics experience with a two-sided marketplace or e-commerce business is a plus.
Experience in data model architecture and schema design
Expert in at least one programming language for data analysis (Python or R) Experience with technical mentorship of other data scientists
Experience with experimentation and machine learning techniques
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