As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
About the role:
Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
Data Science Manager, Analytics Responsibilities
Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.
Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Influence product direction through clear and compelling presentations to leadership.
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
Minimum Qualifications
Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta.
A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
Experience initiating and completing analytical projects with minimal guidance.
Experience communicating results of analysis to senior leadership.
Preferred Qualifications
Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
Experience working in technology, consulting, or finance.
Proven track record of leading high-performing analytics teams.
Compensation
$173,000/year to $242,000/year + bonus + equity + benefits
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world. You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
About the role:
Product leadership:  You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.
Analytics:  You will guide product teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence:  You won’t simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
People leadership:  You will inspire, lead and grow a world-class team of data scientists and data science leaders.
Data Science Manager, Analytics Responsibilities
Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world.
Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
Influence product direction through clear and compelling presentations to leadership.
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.
Minimum Qualifications
Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta.
A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams.
Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
Experience initiating and completing analytical projects with minimal guidance.
Experience communicating results of analysis to senior leadership.
Preferred Qualifications
Master’s or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
Experience working in technology, consulting, or finance.
Proven track record of leading high-performing analytics teams.
Compensation
$173,000/year to $242,000/year + bonus + equity + benefits
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

#J-18808-Ljbffr

<h3>Job Description</h3><div>Job Description<div><div>About Taskrabbit:Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love.Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.<ul><li>Taskrabbit is a remote-first company with employees distributed across the US and EU</li><li>5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits</li><li>DataBird journal's "Best Places" Best Companies for Diversity, #1 2019 and 2020</li><li>DataBird journal's "Best Places" Best Companies for Women, #4 2019 and #1 2020</li></ul>Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!.</div>This role will be fully remote through August 2025 with the expectation that employees will begin working 2 days per week in our dedicated office space in San Francisco starting September 2025. About the RoleTaskrabbit is seeking a Senior Manager, Data Science to lead and expand our data science organization. In this high-impact role, you will shape the team's vision, define a unified data strategy, and drive analytics innovations that power our marketplace across Growth, Platform, Partnerships, and Core Offerings (including Booking and Post-Booking). Reporting to the Director of Data Science and ML, you'll collaborate with Product, Engineering, Design, and Operations to deliver transformative insights and measurable results for our clients and Taskers.You will thrive in a dynamic, fast-paced environment, building a world-class team of data scientists while championing data-driven decisions across the entire organization. From establishing experimentation frameworks to ensuring robust data governance, you'll play a critical role in advancing our mission and delivering exceptional experiences on the Taskrabbit platform. What You'll Work On:<ul><li>Drive data-informed decision-making by synthesizing key insights that influence product roadmaps and strategic initiatives.</li><li>Serve as a trusted advisor to Product, Engineering, Design, Marketing, and Operations, translating complex analyses into actionable recommendations.</li><li>Define the long-term strategy for Taskrabbit's Data Science organization, ensuring alignment with business objectives.</li><li>Hire, develop, and mentor a high-performing, diverse team of data scientists and analysts.</li><li>Lead the development and adoption of robust experimentation frameworks (A/B testing, multi-variant testing) to drive data-driven product improvements.</li><li>Partner with Engineering to build and maintain scalable data infrastructure that powers advanced analytics and research.</li><li>Balance short-term execution with long-term innovation, consistently measuring and reporting on the ROI of data science initiatives.</li></ul>Your Areas Of Expertise:<ul><li>7+ years of experience in data science, analytics, or a related quantitative field, with a proven track record of delivering impactful results.</li><li>3+ years of leadership experience, managing and scaling high-performance data science/analytics teams (5+ direct reports preferred).</li><li>Strong technical expertise in statistical methods, experiment design, and machine learning, with proficiency in SQL and at least one programming language (Python, R).</li><li>Experience with modern data platforms (AWS, GCP, Spark) and BI tools (Looker, Tableau) to support scalable analytics.</li><li>Exceptional communication and stakeholder management skills, with the ability to translate complex data insights into clear, actionable recommendations for diverse audiences, including executives.</li><li>Strategic mindset and business acumen, with a history of guiding data-driven product innovation and aligning initiatives with company goals.</li><li>Proven ability to influence cross-functional teams and drive alignment in a fast-paced environment, shaping product roadmaps through data-backed narratives.</li></ul>Compensation & Benefits: At Taskrabbit, our approach to compensation is designed to be competitive, transparent and equitable. total compensation consists of base pay + bonus + benefits + perks.The base pay range for this position is $161,000 - $224,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above, and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.<div>You'll love working here because:<ul><li>Taskrabbit is a Remote-First Company. We value flexibility and choice but also stay committed to regular in-person connection.</li><li>The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!</li><li>The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.</li><li>The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. </li></ul>Taskrabbit's commitment to Diversity and Inclusion:An Active Commitment to Equity within our Company and Platform.We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names.</div></div></div>

In 1950, when Frank McNamara forgot his wallet at a restaurant, he transformed that moment of embarrassment into Diners Club - the world's first credit card company and an entirely new category of financial products. Today, we're seeking someone who can pioneer the next generation of financial technology through data science and artificial intelligence. As the Data Science Manager for Product Expansion at Mercury, you'll lead the charge in developing the data infrastructure, AI systems, and analytics capabilities that will power our next wave of innovative financial products. We are looking for a Senior Data Science Manager who can architect comprehensive data solutions - from foundational analytics to cutting-edge AI applications. In this role, you'll be responsible for creating self-service data products, building ML systems that enhance our product experiences, and developing the measurement frameworks that will guide Mercury's expansion into new product lines. You'll work closely with product, engineering, and business teams to enable data-driven decision making while integrating advanced technologies that reshape how businesses interact with their finances. Responsibilities: <ul> <li>Lead a team of 3 senior IC data scientists supporting the Expansion team across bill pay, invoicing, spend management, accounting, credit/lending, and personal banking initiatives </li><li>Design and implement self-service data products that enable teams to answer key business and product questions independently </li><li>Build ML and AI systems that enhance core product experiences, including automated transaction classification and generative AI applications </li><li>Develop comprehensive measurement frameworks and automated reporting systems for new product launches </li><li>Create and maintain sophisticated A/B testing frameworks to evaluate product improvements </li><li>Partner with Product and Engineering leads to establish data infrastructure and ML systems for new product lines </li><li>Create data-driven frameworks for evaluating and prioritizing greenfield opportunities </li></ul>We're looking for a technical leader who combines deep ML expertise with strong analytics foundations and business acumen. A successful candidate will likely have: <ul> <li>5+ years of analytics experience, with 1+ years managing analytics teams </li><li>Deep expertise in SQL, Python, and data modeling </li><li>Hands-on experience with generative AI and agentic frameworks (e.g., LangChain, LangSmith, LlamaIndex, CrewAI, Pydantic, Foundational LLMs, Fine-tuning, DSPy, specialty SLMs) </li><li>Hands-on experience with real-time machine learning: building, deploying, and managing P0 production systems with SRE responsibilities </li> <li>Experience building self-service analytics tools and data products </li><li>Strong background in experimentation and causal inference </li><li>Track record of successful zero-to-one product development and launches </li><li>Background in financial services (banking, insurance, accounting, or payments) </li><li>Proven ability to influence strategy and lead cross-functional initiatives </li></ul>The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers. Our target new hire base salary ranges for this role are the following: <ul> <li>US employees (any location): $237,600 - 279,500 USD </li><li>Canadian employees (any location): CAD $216,200 - $254,300 </li></ul> Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust, Members FDIC. Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here. #LI-DNI

<h3>Job Description</h3><div>Job Description<div>Company Description Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.Why Join The Sia Village?Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee WellbeingThese are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.Your experience at Sia Partners will be enriched by a(n):  <ul><li>Entrepreneurial journey</li><li>Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback</li><li>Continuous learning & development opportunities</li><li>Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives</li></ul>Job Description To support its growth, Sia Partners is recruiting a Data Science Manager with strong expertise in marketing, client, and product challenges. You will join the global Data Science capability at Sia Partners, consisting of 300+ Data Scientists located across Europe, North America, and Asia. You will be part of the growing US Data Science team, focusing on marketing analytics for various sectors including luxury, energy, FMCG, banking, and insurance.Key Responsibilities<ul><li>Leading Data Science Projects: Manage the delivery of data science projects, working across several clients in the US.</li><li>Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.</li><li>Business Development: Collaborate with Sia Partner’s US Data Science Lead, Business Units teams, and Data Science centers from other locations to develop proposals for potential opportunities.</li><li>Client Engagement: Identify opportunities to expand Sia Partners' Data Science offering to existing clients.</li><li>Professional Networking: Build and maintain external professional peer networks to drive new revenue opportunities.</li><li>Marketing and Thought Leadership: Support marketing campaigns, contribute to external positioning across social networks, work on blogs, and develop Sia Partners’ assets, including methodologies and tools.</li><li>Recruitment and Team Development: Lead recruitment initiatives for the Data Science team, advise on market positioning, and support the operational and career management of data science consultants.</li><li>Coaching and Mentoring: Mentor colleagues in performance and development, facilitate learning, and enhance the team's technical knowledge and consulting skills.</li></ul>Some examples of use cases this person would tackle:- CRM analytics and predictive modelling:<ul><li>Deepen understanding of customers through segmentation and clustering techniques for optimal marketing campaign personalization.</li><li>Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategies.</li><li>Define hyper-personalized marketing plans.</li></ul>- Customer experience data mining and personalization models:<ul><li>Analyze customer feedback using NLP models to extract structured information and identify causes of dissatisfaction.</li><li>Leverage AI models to offer hyper-personalized customer experiences, including personalized products, recommendation engines, and connected objects.</li></ul>- Pricing & Product Analytics:<ul><li>Contribute to pricing strategy, product development, and assortment optimization.</li><li>Enhance cross-selling strategies and capitalize on Generative AI for innovative product creation.</li></ul>- Open Data:<ul><li>Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts.</li><li>Understand and anticipate the performance of the retail network.</li></ul>- Merchandising & Operations analytics and optimization:<ul><li>Predict sales to adjust production and inventory.</li><li>Model the optimization of the entire distribution chain.</li></ul>- Internal Activities:<ul><li>Develop and enhance offerings through training, working groups, and R&D work.</li><li>Contribute to the firm's visibility through publications, sector blogs, studies, press releases, and marketing events.</li><li>Support business development by defining needs and participating in commercial activities.</li></ul>Qualifications - Data Science Expertise: Proven experience in applying data science solutions to marketing problems, particularly in customer segmentation, predictive modeling, and personalized marketing.- Team Leadership: Experience in leading and developing high-performing teams, preferably in a consulting environment.- Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik).- Communication: Excellent skills to convey complex technical information in simple terms to various stakeholders.- Project Management: Strong organizational skills and the ability to manage projects from conception to completion within tight deadlines.- Industry Knowledge: Deep understanding of marketing challenges and familiarity with sectors such as luxury, FMCG, energy, banking, and insurance. Additional Information Compensation & Benefits <ul><li>Salary + Annual Discretionary Bonus</li><li>Healthcare coverage that includes medical, dental, vision and life insurance policies</li><li>Generous time off </li><li>Parental leave paid at 100% of base pay for all new parents regardless of gender </li><li>Building Healthy Families Program</li><li>9 Company Holidays + 1 Floating Holiday </li><li>401(k) Plan – 4% matching on day 1</li><li>College save-up plan & college loan repayment plan</li><li>Monthly cell phone stipend </li><li>Commuter Benefits </li><li>Gym Reimbursement through firm medical plan</li></ul>California Compensation Info:California compensation for this role is between $165,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location.Our Commitment To DiversityDiversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential.Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas:<ul><li>Gender equality (global Gender Equality Index score of 93/100 for 2023)</li><li>LGBTQ+</li><li>Race & Ethnicity</li><li>Working Parents</li><li>Disabilities</li></ul>Hybrid Workplace GuidelinesSia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office.Work Authorization & Sponsorship At this time, Sia Partners does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). <div></div>Sia Partners is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. </div></div>

Overview: Working at Atlassian Atlassians can choose where they work whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Responsibilities: Your future team You will be part of a world-class Data Science team that leverages data to drive insights about our products and customers. The Data Science team partners closely with Product Managers/Engineers/Researchers/Data Engineers/Marketers/Privacy and Executive teams across Atlassian to drive and influence. The team is responsible for using a variety of analysis and data-science techniques to understand how Atlassians customers engage with our products and communications and, in doing so, identify, design, and measure the success of product investments. In this role, you will: <ul> <li>Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work </li> <li>Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges </li> <li>Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them </li> <li>Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations </li> <li>Partner with cross-functional teams to inform, influence, and execute strategy decisions </li> <li>Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends </li> <li>You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian </li> <li>You will use storytelling techniques to communicate insights broadly, including to company leadership teams </li> <li>Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support </li> <li>Work with your team to help them grow through coaching in technical, analytical, and soft skills </li> </ul>Minimum Qualifications / Your background: <ul> <li>8+ years of experience in analytics or related fields </li> <li>2+ years of experience managing teams of 4+ </li> <li>Advanced proficiency in SQL and knowledge of another data science programming language (e.g Python, R) </li> <li>Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker </li> <li>Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand. </li> <li>Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses </li> </ul>Desired Qualifications <ul> <li>Comfort with structuring and coaching others to work through open-ended business questions through analytics </li> <li>Experience building trusted advisor relationships with senior business leaders. </li> </ul>Qualifications: Compensation At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are: Zone A: $201,300 - $268,400 Zone B: $181,200 - $241,600 Zone C: $167,100 - $222,800 This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Our perks & benefits Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefitsto learn more. About Atlassian At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them. To learn more about our culture and hiring process, visit go.atlassian.com/crh.

Data Science Manager Jobs in San Francisco, CA

Data Science Manager Analytics
March 12, 2025

Data Science Manager Analytics
March 10, 2025

Senior Data Science Manager
March 4, 2025

Data Science Manager Expansion
March 1, 2025

Data Science Manager Marketing Strategy
February 26, 2025

Data Science Manager
February 26, 2025

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Data Science Manager Jobs in San Francisco, CA

Data Science Manager AnalyticsMarch 12, 2025

Data Science Manager AnalyticsMarch 10, 2025

Senior Data Science ManagerMarch 4, 2025

Data Science Manager ExpansionMarch 1, 2025

Data Science Manager Marketing StrategyFebruary 26, 2025

Data Science ManagerFebruary 26, 2025