1

Looker Data Sciences Jobs (NOW HIRING)

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract ... Experience with Looker or comparable BI tools * Experience with Git or similar source version ...

This Data Scientist position with the Professional Services Procurement Office will be an important ... Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks Other frameworks: git, GitHub, SSH ...

Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks * Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench, Big data platforms: Apache Spark, Spark SQL, Hive ...

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Develop data visualization that illustrates complex platform phenomena using tools such as Looker ... Master's degree or foreign equivalent in Operations Research, Data Science, or related field.

... Tableau, Looker, Power BI, etc.) • AWS or GCP experience • Large-scale data processing ... Science, Statistics, Mathematics, Computer Science, or related field Preferred : • MarTech ...

$160K - $170K/yr

Act as the internal commercial operator for Data Science, translating marketplace dynamics and unit economics into actionable SQL/Looker data models and engineering requirements. * Reporting ...

$88K - $100K/yr

The Role Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has ... Looker preferred * Experience or familiarity with version control tools such as Git or Bitbucket

Data Scientist

Palo Alto, CA · On-site

$118K - $274K/yr

What You'll Do As a Data Scientist at Tencent Games: * Leverage large-scale data to uncover ... Power BI, Looker) is a plus. * Proven ability to translate complex data into actionable business ...

$88K - $100K/yr

Data Science 7,333 - 8,333 $ Important: if an employer asks you to log into their system via iCloud ... Looker preferred * Experience or familiarity with version control tools such as Git or Bitbucket

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics ... Experience building and maintaining dashboards in BI tools such as Tableau or Looker. * Solid ...

Associate Data Scientist

San Francisco, CA · On-site

$69K - $70K/yr

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics ... Experience building and maintaining dashboards in BI tools such as Tableau or Looker. * Solid ...

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics ... Experience building and maintaining dashboards in BI tools such as Tableau or Looker. * Solid ...

Showing results 41-60

Looker Data Sciences information

What are popular job titles related to Looker Data Sciences jobs?

For Looker Data Sciences jobs, the most frequently searched job titles are:

Infographic showing various Looker Data Sciences job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Manhattan, NY • On-site

$75 - $80/hr

Contractor

Medical, Dental, Vision, Retirement

Re-posted 6 days ago


Job description

Apply now: Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract position. Job Title: Data Scientist, Audience & Growth Location-Type: Hybrid - New York, NY (must currently permanently reside within 50 miles of NYC) Start Date: ASAP Duration: Contract - 6 months Compensation Range: $75-80/hr W2 Benefits: Eligible for Health, Dental, Vision, and 401K Visa Sponsorship: Not eligible for visa sponsorship Job Description: The client is seeking a mid-level Data Scientist to serve as the organization's central data resource, building out a foundational customer model and enabling data-driven decision-making across Retail, Digital, and Marketing teams. Job Summary •MUST have direct customer analytics experience in a data science role •Direct experience with CRM analytics, marketing analytics, and customer lifecycle ownership •Design and build a customer segmentation model that synthesizes behavioral, transactional, and demographic data across multiple customer and user datasets •Translate segmentation model outputs into actionable audience profiles and cohorts that can be operationalized by marketing and digital teams •Analyze patterns across the customer lifecycle, including awareness, acquisition, engagement, lapse, and reactivation, to surface audience and revenue growth opportunities •Partner with stakeholders across Retail, Digital, and Marketing to frame business questions and deliver data-driven recommendations on pricing, experience, and communication strategies •Design and implement an experimentation framework for testing marketing campaigns, digital experiences, and activation offers, including defining success metrics and ensuring statistical validity •Build dashboards and reports that make key metrics accessible to non-technical partners and leadership •Maintain and iterate on segmentation models and reporting as audience strategy evolves over time Minimum Requirements: •3-5 years of experience in a data science role •Strong background in customer data, including demonstrated experience building segmentation models such as clustering and RFM analysis •Proficiency in Python or R, and SQL •Solid understanding of customer KPIs including LTV, churn, and retention, with hands-on experience applying them in a business context •Ability to communicate complex data findings clearly to non-technical stakeholders and leadership across multiple departments
  • Serve as the subject matter expert for customer analytics by building customer segmentation models and analyzing behavioral, transactional, CRM, and demographic data to uncover insights that drive audience growth, engagement, retention, and marketing strategy. Partner closely with Retail, Digital, Marketing, and executive stakeholders to translate customer lifecycle analytics—including acquisition, engagement, churn, retention, lifetime value (LTV), and customer journey insights—into actionable business recommendations and measurable outcomes.
  • MUST have direct customer analytics experience as a data scientist.
•Experience with A/B testing and experimental design, including sample sizing and statistical inference
  • Local to NYC
Preferred Qualifications: •Deep familiarity with customer data spanning retail, membership, or a recurring-funnel business model •Experience with BigQuery or Google Cloud Platform •Experience with dbt, Dataform, or similar data transformation tools •Experience with Looker or comparable BI tools •Experience with Git or similar source version control tools