139 applicants
Zeta Global · 4 days ago
Data Science Manager
San Francisco, CA
Full-time
Onsite
Mid, Senior Level
$220K/yr - $220K/yr
5+ years exp
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Responsibilities
Oversee the end-to-end data science process, collaborate with business stakeholders, and ensure the successful deployment of machine learning models to deliver measurable business value.
Work closely with business stakeholders to identify opportunities where data science can provide solutions to complex problems and drive business outcomes.
Collaborate with cross-functional partners to foster a data-driven culture within the organization. Lead the data gathering and investigation process, ensure data quality and relevance for machine learning model development.
Conduct exploratory data analysis to gain insights and inform data pre-processing and feature engineering.
Oversee the data cleaning process to ensure data integrity and quality.
Manage the application of data science techniques, including machine learning, statistical modeling, and artificial intelligence, to develop models that can make predictions on unseen data. Collaborate with a team of data scientists to test model accuracy and performance, and continuously improve model iterations.
Work closely with engineering team members to deploy trained models into production environments.
Present key findings and results to business stakeholders and incorporate their feedback into model improvements.
Perform post-deployment measurement and analysis to determine the business value delivered by the models.
Review and provide guidance on the work of other team members, ensure adherence to best practices and industry standards.
Design and execute experiments to measure the impact of new features and machine learning models on business outcomes.
Use machine learning techniques, data analysis tools such as Spark, ML frameworks such as scikit learn, tensorflow and pytorch & languages such as Python and SQL.
Qualification
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Required
Bachelor's degree in Computer Engineering, Computer Science or Data Science plus 5 years of experience in the job offered or in similar occupation.
Preferred
Experience in overseeing the end-to-end data science process
Experience in collaborating with business stakeholders to identify opportunities for data science solutions
Experience in conducting exploratory data analysis and data cleaning processes
Experience in applying data science techniques such as machine learning, statistical modeling, and artificial intelligence
Experience in deploying trained models into production environments
Experience in presenting key findings to business stakeholders and incorporating feedback into model improvements
Experience in designing and executing experiments to measure the impact of new features and machine learning models on business outcomes
Proficiency in data analysis tools such as Spark, ML frameworks such as scikit learn, tensorflow, and pytorch, and languages such as Python and SQL
Option to telecommute two days a week
Benefits
Unlimited PTO
Excellent medical, dental, and vision coverage
Employee Equity and Stock Purchase Plan
Employee Discounts
Virtual Wellness Classes
Pet Insurance
Company
Zeta Global
Zeta offers technology and marketing services to help brands acquire, engage, and retain customers.
1,001-5,000 employees
H1B Sponsorship
Zeta Global has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (8)
2022 (7)
2021 (8)
2020 (14)
Funding
Current Stage
Public CompanyTotal Funding
$602.5MKey Investors
BofA Securities
2021-06-10IPO· nyse:ZETA
2021-03-01Debt Financing· $222.5M
2017-04-27Series F· $115M
Leadership Team
David A. Steinberg
Co-Founder, CEO, and Chairman of the Board
Christian Monberg
Chief Technology Officer
Recent News
2024-05-13
2024-05-07
Company data provided by crunchbase
