Data Science Manager
Mountain View, CA · On-site
As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high ...
Data Science Manager
Mountain View, CA · On-site
As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high ...
As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high ...
As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high ...
Data Science Manager
San Francisco, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
San Francisco, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
Los Angeles, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
Los Angeles, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
Los Angeles, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
Los Angeles, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
San Francisco, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
San Francisco, CA · On-site
$160K - $220K/yr
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...
Data Science Manager
Irvine, CA · Remote
The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...
Data Science Manager
Irvine, CA · Remote
The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...
Data Science Manager
Irvine, CA · Remote
The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...
Quick apply
Data Science Manager
Irvine, CA · Remote
The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...
Data Science Manager
Pomona, CA · On-site
$161K - $242K/yr
Join the Clean Energy Revolution Become a Data Science Manager at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll lead a team of data scientists in developing and ...
Data Science Manager
Pomona, CA · On-site
$161K - $242K/yr
Join the Clean Energy Revolution Become a Data Science Manager at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll lead a team of data scientists in developing and ...
The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including ...
The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including ...
Manager, Data Science
San Francisco, CA · On-site
$221K - $320K/yr
Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...
Manager, Data Science
San Francisco, CA · On-site
$221K - $320K/yr
Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...
Manager, Data Science
San Francisco, CA · On-site
About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...
Manager, Data Science
San Francisco, CA · On-site
About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...
Data Science Manager
San Francisco, CA · On-site
$251K - $376K/yr
We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select. In this role, you will own the data roadmap for our ...
Data Science Manager
San Francisco, CA · On-site
$251K - $376K/yr
We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our business: Treatment Experience and Hinge Select. In this role, you will own the data roadmap for our ...
Data Science Manager
Irvine, CA · On-site
$119K - $197K/yr
CorVel is seeking a Data Science Manager perform various functions as they strive to help organizations take advantage of data in making the best management decisions. This is a remote position.
Data Science Manager
Irvine, CA · On-site
$119K - $197K/yr
CorVel is seeking a Data Science Manager perform various functions as they strive to help organizations take advantage of data in making the best management decisions. This is a remote position.
Data Science at Gametime Our Marketing Analytics team is a cross-functional group supporting all ... Hands-on experience with Meta, TikTok, Reddit, or similar paid social platforms, analyzing ...
Quick apply
Data Science at Gametime Our Marketing Analytics team is a cross-functional group supporting all ... Hands-on experience with Meta, TikTok, Reddit, or similar paid social platforms, analyzing ...
Director, Data Science
San Francisco, CA · On-site +1
As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design ...
Director, Data Science
San Francisco, CA · On-site +1
As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design ...
As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high ...
As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high ...
Manager of Data Science
$67.31/hr
Manager of Data Science Location: Burbank Pay Rate: $67.31/hr Duration: 3-months What We Do/Project Seeking a hands-on data scientist to fill the Manager of Data Science position within our Sales ...
Quick apply
Manager of Data Science
$67.31/hr
Manager of Data Science Location: Burbank Pay Rate: $67.31/hr Duration: 3-months What We Do/Project Seeking a hands-on data scientist to fill the Manager of Data Science position within our Sales ...
We're looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI ...
We're looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI ...
We're looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI ...
We're looking for a Data Science Manager to architect and lead the next generation of marketing data science at GoFundMe. This role will build and scale the foundations of applied data science and AI ...
Manager Reddit Data Science information
What are the key skills and qualifications needed to thrive as a manager Reddit Data Science, and why are they important?
To thrive as a Manager, Reddit Data Science, you need expertise in statistical analysis, machine learning, data visualization, and a solid background in computer science or a related field, often supported by an advanced degree. Familiarity with tools like Python, SQL, big data platforms (e.g., Spark), and data visualization software, as well as experience with experimentation frameworks, is typically required. Strong leadership, communication, and project management skills enable effective team guidance and stakeholder collaboration. These skills are crucial for extracting actionable insights from large datasets, leading data-driven projects, and aligning analytics initiatives with business goals.
How does a manager Reddit Data Science typically collaborate with cross-functional teams to drive data-driven initiatives?
As a Manager of Reddit Data Science, you'll regularly collaborate with product managers, engineers, designers, and business stakeholders to ensure data insights inform key decisions. This involves translating complex analyses into actionable recommendations, leading data-driven experiments, and aligning team priorities with company objectives. You'll also mentor data scientists, foster a collaborative team culture, and facilitate communication between data science and other departments to ensure projects are impactful and aligned with overall strategy.
What is the difference between Manager Reddit Data Science vs Data Scientist Reddit?
| Aspect | Manager Reddit Data Science | Data Scientist Reddit |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Data Science, Analytics, or related field; often leadership experience | Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field |
| Work Environment | Leads teams, manages projects, collaborates with stakeholders | Analyzes data, develops models, reports findings |
| Employer & Industry Usage | Tech companies, online platforms, social media firms | Tech, finance, healthcare, research organizations |
The main difference is that a Manager Reddit Data Science oversees teams and projects, focusing on strategic leadership, while a Data Scientist Reddit primarily conducts data analysis and model development. Both roles require strong technical skills, but the manager role emphasizes leadership and project management.
What does a manager Reddit Data Science do?
A Manager of Reddit Data Science leads a team of data scientists who analyze Reddit's vast user data to uncover insights, improve user experience, and guide business decisions. They oversee data projects, collaborate with engineering and product teams, and ensure the quality and impact of data-driven solutions. The manager is also responsible for mentoring team members, setting goals, and aligning data science efforts with Reddit's strategic objectives.
What are the most commonly searched types of Reddit Data Science jobs in California? The most popular types of Reddit Data Science jobs in California are:
What cities in California are hiring for Manager Reddit Data Science jobs? Cities in California with the most Manager Reddit Data Science job openings:
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 13 days ago
Tapestry Inc. rating
8.0
Based on 35 frontline employees who took The Breakroom Quiz
1st of 104 rated fashion retailers
Job description
About Tapestry
Tapestry is a team within Alphabet working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software, engineering, and product to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
At Tapestry, data drives all our decision-making. Data Scientists work across the organization to help shape our business and technical strategies by processing, analyzing, and interpreting massive datasets. They lead our metrics assessment, analyze massive datasets and derive early insights, and partner with cross functional teams on the right datasets for maximum downstream impact. As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value.
In this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved to help drive implementation. Ultimately, your team's solutions will fundamentally improve electric grid visibility and resilience.
How you will contribute to the team...
1. Team Leadership and Strategic Delivery
2. Data Integrity and Curation Strategy at Scale
3. Problem Definition and Advanced Analytics
Tapestry Values:
What we offer:
A culture that supports growth, ownership, and meaningful impact, along with...
The US base salary range for this full-time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
Tapestry is a team within Alphabet working to build the AI-powered electric grid. We are tackling one of the world's most important infrastructure challenges: helping the energy system become more visible, understandable, reliable, affordable, abundant, and clean.
Originally born at X, Alphabet's moonshot factory, Tapestry brings together experts in energy, AI, software, engineering, and product to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently.
This is a global effort. Tapestry supports partners across the U.S., U.K., Chile, New Zealand, Australia, and Brazil as they work toward a cleaner, more resilient energy future.
Joining Tapestry means doing high-impact work with a multidisciplinary team tackling a problem that matters at global scale. Learn more about our team and our mission here.
About the role:
At Tapestry, data drives all our decision-making. Data Scientists work across the organization to help shape our business and technical strategies by processing, analyzing, and interpreting massive datasets. They lead our metrics assessment, analyze massive datasets and derive early insights, and partner with cross functional teams on the right datasets for maximum downstream impact. As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between complex business questions and advanced technical execution. You will build, mentor, and lead a high-performing team of data scientists to deliver operational excellence, accelerate product advancement, and drive business value.
In this role, you will deeply immerse yourself with the team of data scientists in data collection and analysis, develop compelling, synthesized recommendations for senior leadership, and be involved to help drive implementation. Ultimately, your team's solutions will fundamentally improve electric grid visibility and resilience.
How you will contribute to the team...
1. Team Leadership and Strategic Delivery
- People Management: Recruit, mentor, and lead a world-class team of data scientists. Cultivate talent through active technical mentorship and clear career development paths.
- Cross-Functional Alignment: Collaborate with engineering, product, power system experts, and external partners to translate high-level business goals into rigorous data science roadmaps.
- Executive Communication: Persuasively communicate your team's findings and strategic recommendations to senior executives and cross functional teams, tracking the long-term business impact of the solutions.
2. Data Integrity and Curation Strategy at Scale
- Pipeline Oversight: Guide the team in discovering, investigating, and deriving insights from large and complex input datasets, both current and potential, from partners and other sources.
- Gatekeeping Metrics: Oversee the definition of problem framing, test datasets, and core business, product and performance metrics that machine learning models will aim to optimize for.
- Multi-Stage Quality Control: Ensure data integrity across the pipeline by establishing frameworks to assess intermediate datasets and metrics within multi-stage machine learning processes.
- Annotation Rigor: Drive a comprehensive and scalable data annotation strategy that prioritizes quality through statistical rigor, ensuring data reliability for all downstream modeling.
3. Problem Definition and Advanced Analytics
- Grid Visibility and Innovation: Lead the proactive exploration of new problem spaces to fundamentally improve electric grid visibility and resilience.
- Experimentation Frameworks: Standardize how the team designs, executes, and analyzes A/B tests and other experiments to validate hypotheses and measure product impact.
- Engineering Best Practices: Champion modern data science workflows, including the application of GenAI techniques for data analysis, ensuring the team follows robust engineering best practices.
- PhD or Master's in a quantitative field and 8+ years of tech or energy industry work experience as a statistician, quantitative analyst, or data scientist.
- 5+ years of experience directly managing or leading high-performing data science and analytics teams, with a proven track record of delivering production-grade data solutions.
- A proven track record of identifying where data science can add unique value during early product development, alongside a strong ability to influence other teams to collaborate on critical data science work.
- Advanced skills in experimental design, including the ability to architect, guide, and validate robust A/B testing methodologies and statistical experiments in ambiguous environments.
- Experience in Python, SQL, R, Pandas, Scikit-Learn, other ML frameworks as appropriate.
- Experience with electric power grid data, and physics based understanding of electrical networks and utility data. Ability to bridge the gap between power systems and machine learning.
- Experience in multivariate analysis, stochastic models, and sampling methods. Able to select the right statistical tool to solve for bias, variance, and data drift.
- Applied experience with building comprehensive machine learning model evaluation tooling and processes on large datasets.
- Proven ability to "zoom out" from complex technical details to build a cohesive product strategy, and "zoom in" to unblock technical hurdles.
- Demonstrate strong collaboration with software engineering and cross functional teams to build ML-powered systems ready for production.
- Exceptional storytelling abilities, with a knack for turning complex data pipelines and model metrics into clear business value for non-technical stakeholders.
- Ability to thrive in ambiguity, set own goals and effectively delivering to them in a very fast-changing environment
- Attention to detail, project management, and organizational skills
- Fast learner with capacity to learn about a wide-spread of different technologies and industries
- Passion for the energy and climate space
- Track record of delivering scalable solutions to complex software problems
- Experience in startup or high-growth environments
Tapestry Values:
- Take charge: We take initiative and own outcomes that move the mission forward.
- Transform with purpose: We build solutions that solve real problems and create meaningful impact.
- Be a Tapestry, not a thread: We collaborate across diverse skills and perspectives to achieve more than we can individually.
- Always fine-tune: We stay curious, seek feedback, and refine our understanding as we learn.
- Stay grounded: We listen openly, value different perspectives, and stay focused on what matters most.
What we offer:
A culture that supports growth, ownership, and meaningful impact, along with...
- Competitive salary and equity
- Medical, dental, and vision coverage
- Generous PTO and flexible hybrid work model
- 401(k) with employer contribution
- Professional development
- The ability to work on important real-world problems within an Alphabet-backed environment
The US base salary range for this full-time position is $207,000 - $304,000 + bonus + equity + benefits. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
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