Location : Remote (United States)

Summary :
Glo is seeking a visionary yet hands-on Senior Data Scientist - Recommendation Systems to lead the design and development of a cutting-edge recommendation engine. This system will revolutionize how our members discover and engage with personalized yoga, meditation, and Pilates content, aligning with Glo’s mission to help people consistently practice.
This role combines deep expertise in machine learning and AI with strategic thinking and collaboration. The ideal candidate will contribute to refining data infrastructure while designing advanced models to deliver a world-class personalization experience. You’ll partner closely with leadership, product managers, engineers, data scientists, and content creators to ensure the recommendation engine delivers high-quality, impactful experiences for our members.

Responsibilities :
Strategize and Lead : Drive the vision, strategy, and execution of Glo’s recommendation engine, building the framework and roadmap to optimize user engagement and content discovery.
Ground-Up Development : Design, prototype, and implement machine learning models for recommendation systems, including collaborative filtering, content-based filtering, and hybrid approaches, tailored to Glo’s unique content ecosystem.
Collaborate Across Teams : Partner with leadership, product managers, engineers, and content creators to align technical solutions with user experience goals.
Data-Driven Innovation : Analyze large datasets to uncover insights about user behavior and preferences, using these insights to refine recommendation algorithms and drive strategic decisions.
Performance Optimization : Ensure the scalability, efficiency, and effectiveness of recommendation models through continuous testing, tuning, and performance monitoring.
Technical Leadership : Mentor and provide guidance to team members on best practices in machine learning and data science, fostering an environment of innovation.
Measure Success : Define and monitor key metrics (e.g., precision, recall, engagement) to evaluate and iterate on the system’s performance.
Build for the Future : Contribute to the long-term vision of Glo’s personalization capabilities, ensuring the recommendation engine evolves alongside user needs and company goals.

Qualifications :
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
5+ years of experience in data science roles with a focus on building recommendation systems or personalization engines.
Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical modeling techniques.
Strong programming skills in Python or R, with experience using SQL and big data tools (e.g., Spark, Hadoop, Databricks). Familiarity with AWS cloud services is a plus.
Experience building recommendation systems at scale, including collaborative filtering, neural networks, or hybrid techniques.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with behavioral science concepts and their application in personalization is a strong plus.

Cultural Values :
Start with the why
Drive change
Practice resilience
Embrace progress over perfection
Communicate openly
Win together

Employment Information :
This position is fully remote for anyone living in California, Arkansas, Minnesota, Florida, Tennessee, or Texas. Some travel may be required for in-person collaboration.
Compensation: $150,000 - $180,000/year + equity

The above job description is meant to describe the general nature and level of work being performed. It is not an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.

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We offer the opportunity to join a highly dynamic, global clinical-stage biotechnology company. You can expect a collaborative environment created by a team with deep scientific expertise and an industrial track-record in T cell therapies. We value pro-active team-players who pursue their goals with dedication, endurance and a daring mindset. If you share our commitment to make a difference to patients in need, we can provide an exciting opportunity for your career.
Our Values  Bold  We are bold in thought and action and committed to innovation in all we do.
Humble  We roll up our sleeves to get the job done and leave no room for egos.
Respectful  We prioritize kind directness and ensure every voice counts.
We look out for each other as we work hard because how we work together drives our success.
Our mission is to build a workforce reflective of our communities to be receptive to patients’ broad and unique perspectives, enabling us to empathize with their needs. Together, we strive to uphold a value system that promotes:
Opportunities for continuous learning to drive behavioral change and to be respectful of other points of view
A collaborative culture that leverages the diverse perspectives of employees and supports courage
Zero tolerance for discrimination
We are committed to an emotionally and psychologically safe workplace that trusts employees to boldly explore innovative solutions. We recognize that intentionally embracing diversity at Neogene empowers us to better relate to patients, and advance our mission to deliver cures where none exist.

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Teamwork makes the stream work.    Roku is changing how the world watches TV   Roku is the #1 TV streaming platform in the US and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team   When you join our Core Analytics Team, you will be part of a centralized analytics team with all the benefits that entails: a world-class peer group to support you, centrally maintained tools, learning & development, and more. We collaborate closely with our Engineering, Product, and Business teams to deliver data-driven insights and capabilities for our stakeholders.
About the role   Roku is looking for a Senior Data Scientist to join our Core Analytics team and focus on our ads business. This role will play an integral part in influencing business decisions by identifying trends, developing measurement frameworks through designing A/B tests or leveraging causal inference methods, and creating customer segmentation based on behaviors and CLV to provide actionable insights and recommendations for targeting strategies. You will own problems end-to-end, delivering insights and models to drive customer conversions and building data pipelines, dashboards, and automated reports to support them. The successful analyst will tell a compelling data story that reads beyond the numbers and provides strategic insights. Being a thought partner to our executive business leaders, good communication and presentation will be a crucial aspect of this role.
What you’ll be doing    Build reporting data pipelines and dashboards to ensure stakeholders can access accurate, timely, and actionable insights.
Design and execute A/B tests to optimize performance across Roku’s platform.
Work directly with stakeholders to understand key business questions that will accelerate and optimize streaming subscription payments for Roku.
Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.
Deliver presentations to clearly and effectively communicate findings and recommendations to stakeholders.
Translate complex technical topics into clear business recommendations.
Provide feedback directly to leadership and stakeholders across the company on performance of various initiatives and untapped opportunities.
We’re excited if you have    4+ years of relevant experience as a data analyst or data scientist in technology, e-commerce, finance, or ad-tech (heavy AdTech).
Excellent command of SQL and experience working with Big Data.
Experience coding in R or Python.
Experience with data visualization platform like Tableau, Looker, etc.
Statistics knowledge: A/B testing, statistical inference, interpretation of data, etc.
Familiarity with the ad tech terminology and landscape, including prior experience working with DSP, SSP, ad server, and/or DMP data.
Strong written and verbal communication skills.
Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking.
Academic background in math, physics, computer science, economics.
Benefits   Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs.
The Roku Culture   Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust.

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Location : Remote (United States)

Summary :
Glo is seeking a visionary yet hands-on Senior Data Scientist - Recommendation Systems to lead the design and development of a cutting-edge recommendation engine. This system will revolutionize how our members discover and engage with personalized yoga, meditation, and Pilates content, aligning with Glo’s mission to help people consistently practice.
This role combines deep expertise in machine learning and AI with strategic thinking and collaboration. The ideal candidate will contribute to refining data infrastructure while designing advanced models to deliver a world-class personalization experience. You’ll partner closely with leadership, product managers, engineers, data scientists, and content creators to ensure the recommendation engine delivers high-quality, impactful experiences for our members.

Responsibilities :
Strategize and Lead : Drive the vision, strategy, and execution of Glo’s recommendation engine, building the framework and roadmap to optimize user engagement and content discovery.
Ground-Up Development : Design, prototype, and implement machine learning models for recommendation systems, including collaborative filtering, content-based filtering, and hybrid approaches, tailored to Glo’s unique content ecosystem.
Collaborate Across Teams : Partner with leadership, product managers, engineers, and content creators to align technical solutions with user experience goals.
Data-Driven Innovation : Analyze large datasets to uncover insights about user behavior and preferences, using these insights to refine recommendation algorithms and drive strategic decisions.
Performance Optimization : Ensure the scalability, efficiency, and effectiveness of recommendation models through continuous testing, tuning, and performance monitoring.
Technical Leadership : Mentor and provide guidance to team members on best practices in machine learning and data science, fostering an environment of innovation.
Measure Success : Define and monitor key metrics (e.g., precision, recall, engagement) to evaluate and iterate on the system’s performance.
Build for the Future : Contribute to the long-term vision of Glo’s personalization capabilities, ensuring the recommendation engine evolves alongside user needs and company goals.

Qualifications :
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
5+ years of experience in data science roles with a focus on building recommendation systems or personalization engines.
Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical modeling techniques.
Strong programming skills in Python or R, with experience using SQL and big data tools (e.g., Spark, Hadoop, Databricks). Familiarity with AWS cloud services is a plus.
Experience building recommendation systems at scale, including collaborative filtering, neural networks, or hybrid techniques.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with behavioral science concepts and their application in personalization is a strong plus.

Cultural Values :
Start with the why
Drive change
Practice resilience
Embrace progress over perfection
Communicate openly
Win together

Employment Information :
This position is fully remote for anyone living in California, Arkansas, Minnesota, Florida, Tennessee, or Texas. Some travel may be required for in-person collaboration.
Compensation: $150,000 - $180,000/year + equity

The above job description is meant to describe the general nature and level of work being performed. It is not an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.
All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.

#J-18808-Ljbffr

Machine Learning Engineer Computer Vision Biotech Startup | Santa Monica HQ | Hybrid (2-3 days onsite) About Us We are working with a pre-Series A startup, and after 6 years of market research and recent strategic rebuilding, are ready to scale with a new engineering team. The Role As our first dedicated ML Engineer, you'll lead the development of computer vision systems for automated organism detection. You'll work directly with our cutting-edge platform, processing time-lapse data and building self-segmentation algorithms for biomedical applications. Please apply if you have a: <ul> <li>Strong background in computer vision and deep learning </li><li>Expertise in Python and PyTorch </li><li>Experience with image processing and noisy data </li><li>Ability to work independently and wear multiple hats </li><li>Strong communication skills and customer-facing experience </li></ul>What We Offer <ul> <li>Salary: $160,000-$200,000 </li><li>Competitive equity package </li><li>Healthcare, dental, and vision </li><li>401k with 3.5% match </li><li>Flexible spending account </li><li>A hybrid model of working from home and in the office (although this role would be on a hybrid weekly basis) </li></ul> Interview Process <ol> <li>Phone screen </li><li>Technical discussion </li><li>Onsite team meetings </li></ol> Join a rapidly growing team (18% growth in 6 months) making a real impact in biotechnology quality control. We offer competitive compensation while maintaining a startup culture focused on innovation and direct customer impact.

Location : Remote (United States)

Summary :
Glo is seeking a visionary yet hands-on Senior Data Scientist - Recommendation Systems to lead the design and development of a cutting-edge recommendation engine. This system will revolutionize how our members discover and engage with personalized yoga, meditation, and Pilates content, aligning with Glo’s mission to help people consistently practice.
This role combines deep expertise in machine learning and AI with strategic thinking and collaboration. The ideal candidate will contribute to refining data infrastructure while designing advanced models to deliver a world-class personalization experience. You’ll partner closely with leadership, product managers, engineers, data scientists, and content creators to ensure the recommendation engine delivers high-quality, impactful experiences for our members.

Responsibilities :
Strategize and Lead : Drive the vision, strategy, and execution of Glo’s recommendation engine, building the framework and roadmap to optimize user engagement and content discovery.
Ground-Up Development : Design, prototype, and implement machine learning models for recommendation systems, including collaborative filtering, content-based filtering, and hybrid approaches, tailored to Glo’s unique content ecosystem.
Collaborate Across Teams : Partner with leadership, product managers, engineers, and content creators to align technical solutions with user experience goals.
Data-Driven Innovation : Analyze large datasets to uncover insights about user behavior and preferences, using these insights to refine recommendation algorithms and drive strategic decisions.
Performance Optimization : Ensure the scalability, efficiency, and effectiveness of recommendation models through continuous testing, tuning, and performance monitoring.
Technical Leadership : Mentor and provide guidance to team members on best practices in machine learning and data science, fostering an environment of innovation.
Measure Success : Define and monitor key metrics (e.g., precision, recall, engagement) to evaluate and iterate on the system’s performance.
Build for the Future : Contribute to the long-term vision of Glo’s personalization capabilities, ensuring the recommendation engine evolves alongside user needs and company goals.

Qualifications :
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
5+ years of experience in data science roles with a focus on building recommendation systems or personalization engines.
Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and statistical modeling techniques.
Strong programming skills in Python or R, with experience using SQL and big data tools (e.g., Spark, Hadoop, Databricks). Familiarity with AWS cloud services is a plus.
Experience building recommendation systems at scale, including collaborative filtering, neural networks, or hybrid techniques.
Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
Familiarity with behavioral science concepts and their application in personalization is a strong plus.

Cultural Values :
Start with the why
Drive change
Practice resilience
Embrace progress over perfection
Communicate openly
Win together

Employment Information :
This position is fully remote for anyone living in California, Arkansas, Minnesota, Florida, Tennessee, or Texas. Some travel may be required for in-person collaboration.
Compensation: $150,000 - $180,000/year + equity

The above job description is meant to describe the general nature and level of work being performed. It is not an exhaustive list of all responsibilities, duties and skills required for the position. Employees will be required to follow any other job-related instructions and to perform other job-related duties requested by their supervisor in compliance with Federal and State Laws.

All job requirements are subject to possible modification to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a direct threat or significant risk to the health and safety of themselves or other employees.

#J-18808-Ljbffr

Data Scientist Jobs in Santa Monica, CA

Senior Data Scientist Recommendation Systems
January 3, 2025

Data Scientist Translational Sciences
January 2, 2025

Senior Data Scientist Advertising
January 1, 2025

Senior Data Scientist Recommendation Systems
December 30, 2024

Lead Data Scientist
December 30, 2024

Senior Data Scientist
December 30, 2024

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Data Scientist Jobs in Santa Monica, CA

Senior Data Scientist Recommendation SystemsJanuary 3, 2025

Data Scientist Translational SciencesJanuary 2, 2025

Senior Data Scientist AdvertisingJanuary 1, 2025

Senior Data Scientist Recommendation SystemsDecember 30, 2024

Lead Data ScientistDecember 30, 2024

Senior Data ScientistDecember 30, 2024