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American Institutes for Research
Sacramento, CA, United States
Overview Join AIR as a Data Science Assistant in our Technology Solutions team where we use technology to transform the world we live in. Our cross-cutting Technology Solutions team provides technical expertise and solutions by focusing on responsive service and flexibility in delivery. Our collaborative, learning-oriented team works worldwide in
Job Source: American Institutes for ResearchAmerican Institutes for Research
Sacramento, CA, United States
Overview Join AIR as a Data Science Associate in our Technology Solutions team where we use technology to transform the world we live in. Our cross-cutting Technology Solutions team provides technical expertise and solutions by focusing on responsive service and flexibility in delivery. Our collaborative, learning-oriented team works worldwide in
Job Source: American Institutes for ResearchDeloitte
Sacramento
The Team AI & Data is an integrated team of data and AI technologists working across Operate, AI, and Engineering. We serve as a trusted advisor and managed service provider bringing a mix of capability and capacity across data modernization, data ops, AI, and ML. Through our unrivaled breadth and depth of services across every major industry and d
Job Source: DeloitteEY
Sacramento, CA, United States
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspe
Job Source: EYNORR
Sacramento, CA, United States
This role reports into the above mentioned office, however NORR offers all of its employees the opportunity to work either from home, from a NORR office or even from a remote location. The choice is yours. NORR is an employee-owned global architecture and engineering firm. Our multi-disciplinary team of 800 professionals is active in 12 market sec
Job Source: NORREY
Sacramento, CA, United States
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspe
Job Source: EYPwC
Sacramento
**Specialty/Competency:** IFS - Risk & Quality (R&Q) **Industry/Sector:** Not Applicable **Time Type:** Full time **Travel Requirements:** Up to 20% A career in PwC's One Firm Risk Organization (OFRO) provides the opportunity to develop, interpret, inform and monitor areas of risk management which includes: internal and external risk management pol
Job Source: PwCUniversity of California - Davis
Davis, CA, United States
Position overview Salary range: "Off-scale salaries" and other components of pay, i.e. a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience. A reasonable estimated salary range for this position is $101,000- $145,000,
Job Source: University of California - DavisSacramento, CA, United States
YOUR ROLE
You will be developing deep personalization models for our users and complex optimization algorithms to bridge our customer experiences with new products/services. You will be pivotal to the growth of our data science team and instrumental as we continue to build a team of data scientists and machine learning engineers that can increase customer engagement and stickiness on our sites while improving the quality of the leads to our partners.
This is an extremely hands-on and in-the-weeds Data Science role where you would be heavily immersed in the data and coding part of the solution implementation. You will design and oversee integrating state-of-the-art machine learning solutions across the company’s products. This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
SUCCESS LOOKS LIKE
Innovate, create, and design ML solutions to various business problems such as:
Design, implement and continuously improve Multi-Armed Bandit solutions to optimize decisions/options in place of multiple AB-tests.
Utilizing Large Language Models in content personalization across various verticals.
Recommendation systems to serve ads, offers, questions, etc.
Collaborate with stakeholders across the company including but not limited to Analytics, Engineering, Product and Business Leads to improve model infrastructure, tracking and monitoring.
Provide data science support at different project stages, including the implementation of ML solutions by collaborating with Data Engineers and MLOps.
Being hands-on and in-the-weeds in the data, coding part of the solution implementation.
Managing and mentoring other Data Science team members, guiding them in their problem solving algorithms, testing methodologies, and reviewing their code.
Career development and talent growth of the junior members of the team.
WHAT YOU NEED TO SUCCEED
4+ years of related work experience in the field of Data Science & Machine learning.
2+ years of experience in the Marketing/Advertising Industry.
Solid background in Machine Learning and Statistics.
Proficiency in SQL, Python and working with Data Science tools (e.g., git, kubernetes, Docker, etc.).
Structure and clarify any ambiguity for the team. I.e. Divide complex projects into sprints and coordinate implementation across multiple teams and individuals.
Experience creating ML solutions within cloud services (AWS/GCP).
Experience with ML model development lifecycle.
Experience with data visualization (preferably Looker).
Experience managing a team of data scientists and machine learning researchers (including career development).
Ability to communicate clearly, think independently, provide direction, and effectively communicate with technical and non-technical stakeholders.
Total Rewards & Compensation
Salary range: $100,000–$145,000
Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.
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Manager, Data Science jobs in Sacramento, CA, United States
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