About SonderMind

At SonderMind, we know that therapy works. SonderMind provides accessible, personalized mental healthcare that produces high-quality outcomes for patients. SonderMind's individualized approach to care starts with using innovative technology to help people not just find a therapist, but find the right, in-network therapist for them, should they choose to use their insurance. From there, SonderMind's clinicians are committed to delivering best-in-class care to all patients by focusing on high-quality clinical outcomes. To enable our clinicians to thrive, SonderMind defines care expectations while providing tools such as clinical note-taking, secure telehealth capabilities, outcome measurement, messaging, and direct booking.

To follow the latest SonderMind news, get to know our clients, and learn about what it’s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. 

About the Role

As a Staff Data Scientist at SonderMind you will be a leader in the technology organization (product, engineering and applied science), working on solving a diverse set of problems in the mental healthcare space. From helping clinicians grow and manage their practices, to personalizing self-care and matching appropriate providers with clients who are ready for clinical care, your primary role will be to drive success for all of these scenarios through the development of data-driven ML/AI services. This role will also play a large role building and monitoring generative AI agents in production. As an integral part of the product and engineering team our data scientists deploy data products with immediate positive impact to our providers and clients.

What you will do 

• Lead technical initiatives at the intersection of applied science and product engineering, identifying new opportunities for data-driven product solutions and driving end-to-end execution from ideation through production
• Deploy, document, and test production ML/AI services (models, prototypes, etc.) to continuously improve client & provider experiences on the platform
• Collaborate with engineering teams to integrate ML/AI based functionality
• Build, test, and monitor generative AI agents, inclusive of RAG implementation and context-aware API information retrieval 
• Fine-tune language models and navigate open source model embeddings strategies for multiple production use cases
• Lead algorithm and architecture design decisions for new and ongoing ML/AI initiatives
• Conduct code reviews and guidance on best practices

Key Technologiesto be used 

• Python
• Pandas
• Numpy
• PyTorch
• Scikit-learn
• Pydantic
• SQL (PostgreSQL and Snowflake)
• NoSQL (DynamoDB, Elasticsearch)
• AWS Services: Sagemaker, Lambda, Athena, Glue, Feature Store
• Sentence transformers and open-source language models (BERT, Ada, LLaMA, etc.)
• REST API services
• Kubernetes and Docker
• Vector Databases (PGvector, pinecone, etc.)
• Git/Gitlab
• LaunchDarkly

What does success look like?

The data products being developed in this role will directly impact clinicians and their clients at all stages of their mental healthcare journey: The ideal candidate is someone who is passionate about designing and implementing ML/AI data products and systems in this space, and has the technical skillset to directly contribute to these initiatives as they ramp up. A strong sense of language model embeddings and fine tuning capabilities, combined with familiarity with GenAI agentic strategies is a must. As time goes on the candidate should be able to independently identify and communicate new opportunities where data science may be applied to improve clinician and client workflows and healthcare quality. Technical success in this role will be measured by the delivery of production services and demonstrated leadership to problem solve challenges along the way. Cultural success in this role will be measured by positive cross-functional interactions and a curious, solution-oriented approach to questions and conversations brought to the applied science and data engineering organization.

Who You Are 

• Ph.D. (preferred) or M.S. in a quantitative science such as computer science, engineering, data science, applied mathematics, statistics, etc.
• 5+ years of preparing and deploying ML/AI data products
• Prior experience at early- to mid-stage growth companies is preferred
• Experience in the health-tech and/or mental health space is a strong bonus
• Strong statistics and experimental design background
• Proficiency with Python programming language
• Expertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filtering
• Proficiency with generative AI models/framewords, language embeddings, fine tuning and/or transfer learning
• Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization

Our Benefits 

The anticipated salary range for this role will be $144,000-180,000.

As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people’s careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work.

Our benefits include:

• A commitment to fostering flexible hybrid work
• A generous PTO policy with a minimum of three weeks off per year
• Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate)
• Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options
• Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it.
• Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition which allows between 8-16 weeks of paid leave)
• 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary
• Travel to Denver 1x a year for annual Shift gathering
• Fourteen (14) company holidays
• Company Shutdown between Christmas and New Years
• Supplemental life insurance, pet insurance coverage, commuter benefits and more!

Application Deadline

This position will be an ongoing recruitment process and will be open until filled.

Equal Opportunity 
SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

OVERVIEW

About the Role

This is a general posting for multiple Sr. Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

ABOUT THE JOB

• Own analytical frameworks that guide the product roadmap
• Design rigorous experiments and interpret results to draw detailed and actionable conclusions
• Develop statistical models to extract trends, measure results, and predict future performance of our product
• Build simulations to project impact of various product and policy interventions
• Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
• Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
• Present findings in a compelling way to influence Instacart’s leadership

ABOUT YOU

Minimum Qualifications

• 6+ years experience working in a quantitative role at a product company or a research organization
• Ability to run rigorous experiments and come up with scientifically sound recommendations
• Ability to write complex, efficient, and eloquent SQL queries to extract data
• Ability to write efficient and eloquent code in Python or R
• A desire to build and improve consumer software products
• Ability to translate business needs into analytical frameworks
• Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

Preferred Qualifications

• Awareness of business trade offs when working on a multi-sided marketplace 
• Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
• MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

OPEN ROLES:

Growth & Marketing Tech

Instacart's marketing data science team serves as thought partners and problem solvers for the Growth and Marketing orgs, supporting our broader mission to give everyone access to the food they love. We are responsible for understanding the end to end scope of growth marketing, including how marketing shapes and impacts customer behavior both today and in the long run, the efficiency and performance of any marketing technology we utilize, and what the highest ROI investments are in both marketing and marketing technology. We synthesize our insights and knowledge into actionable tactics, optimizations, and strategy within marketing.

Marketplace Balancing & Coordination

We are looking for an experienced data scientist with a background in complex and dynamic marketplace problems. The successful candidate will take on a leading role working on Instacart’s core marketplace problems including shopper pay and incentives, marketplace balancing, and experimentation. The role will partner with senior product managers and engineers to tackle analytical, experimental, and inferential problems to understand and expand the efficient frontiers of a balanced, sustainable, and resilient multi-sided marketplace.

New Bets

The New Bets Data Science team exists to provide data-driven insights and strategic guidance around Instacart’s most promising emerging initiatives, collectively known as "new bets”. You will play a critical role in supporting these exciting new bets, including Instacart Business and Health, by establishing data foundations, discovering new opportunities, and evaluating success using your business judgement and experimentation. The position requires a scrappy, "startup-like" mindset, as you will partner closely with self-directed teams forming new business lines all while leveraging the knowledge and systems of Instacart's established marketplace.

Order Experience

We are seeking a Senior Data Scientist to join our Order Experience team at Instacart, with a keen focus on enhancing consumer interactions through strategic data-driven insights. The ideal candidate should be passionate about creating a seamless user experience, focusing on optimizing our critical surfaces such as cart and checkout, and playing a significant role in strategic initiatives like Family Account features. This role requires strong product-facing data science experience, strategic thinking, and adeptness at collaborating with stakeholders to translate complex data into actionable product recommendations.

Retailer Storefronts

Retailer Storefronts builds white label storefronts for retail partners and committed to being the best digital enablement platform for our retailers, both online and in-store. DSA supports Retailer Storefronts by leveraging observational data to help drive product and marketing strategies grow our and our retailers' businesses.

#LI-Remote

Hi, we're Oscar. We're hiring Data Scientists to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience.

You will work across the organization to help develop data pipelines, models, reports and analytics that can help improve our processes.

You will report into a data science leader (Associate Director+).

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role. 

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $119,200 - $156,450 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.
• Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.
• Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
• Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.
• Other duties as assigned

Qualifications

• A bachelor's degree in a technical field OR 1+ years of relevant work experience
• 1+ years experience working with SQL or Python
• 1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Bonus Points

• Master's degree in a technical field
• Knowledge of or previous work experience in health care or health insurance

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals.

You will report to the Lead Data Scientist.

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role. 

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Works with team and manager to impact longer term strategies and roadmap
• Sets shorter term roadmap for team
• May manage data scientists and/or analysts
• Interacts and collaborates closely with data and business counterparts across functional areas
• Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 4+ years of industry or other quantitative technical fields (which may include academia).
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus Points

• Advanced degree in a quantitative or technical field
• Experience in the healthcare, finance and/or insurance industries

Travel

• Up to 5%

Locations -Austin, Texas or major Texas cities who are willing to travel to Austin once a month for team meetings. If not in Texas, you must be willing to relocate. 

About the Team

The BI team at Cloudflare is responsible for building and managing the cloud data analytics platform. Our focus is on developing a centralized cloud data analytics platform using open source technologies for internal Business Partners and Machine Learning teams. The team aims to make data more accessible, meet Cloudflare's critical business needs, and provide self-service reporting and analytics tools to support current and new business initiatives.

Data Scientist Responsibilities

• Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
• Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
• Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
• Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
• Define, implement, and train statistical, machine learning, deep learning and generative AI models.
• Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
• Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
• Active role in hiring, growing, and mentoring the data scientist team in Austin.

Examples of desirable skills, knowledge and experience

• M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
• 3+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams) 
• Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
• 2+ years experience with a fast-growing SaaS business based company is preferred.
• Strong experience in scientific computing using Python.
• Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc.
• Experience working with and processing structured, unstructured, and semi-structured data.  
• Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
• Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
• Proficiency in large language models and the frameworks necessary for implementing GenAI applications, such as chatbots and related use cases.
• Strong communication and presentation skills catered to different audiences within the company.
• Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.
• Experience in hiring data scientists and establishing team best practices is preferred.

At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative.

We’re adding a Senior Data Scientist to our team to help inform the future of Webflow with data by building a deep understanding of how our customers create for the web with our product. You’ll partner directly with key product stakeholders to identify interesting business questions and provide the data and quantitative analysis to answer them, leading the development of KPIs and helping teams understand how to improve our user experience. As an early member of our data team, you will also be working to improve our data warehouse by thoughtfully developing clean and reliable data pipelines for lasting impact.

About the role:

• Location: Remote-first (Mexico City, B.C. or Ontario, Canada, and US Remote excluding SF, SEA, and NYC)
• Full-time
• Permanent 
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within this range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
  • United States (figures cited below are in USD)
    • Zone B USD $149,000 - $205,000
    • Zone C USD $139,000 - $192,000
  • Canada (figures cited below are in CAD)
    • CAD $180,000 - $248,000
  • Mexico City (figures cited below are in MXN and pertain to workers in Mexico)
    • MXN $809,900 - MXN $1,065,100

Please visit our Careers page 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.

• Reporting to the Manager, Data Science. 

As a Senior Data Scientist, you’ll:

• Enable our product teams to think strategically with key stakeholders about how customers engage with Webflow, identifying and executing on high impact growth opportunities with actionable insights
• Define product and business success metrics, building tools for monitoring and surfacing drivers of KPIs (Key Performance Indicators)
• Lead technical and non-technical team members with processes and technical expertise for executing experiments, answering open ended business questions with data, and researching levers for improving our product.
• Develop our data foundation, experimentation and machine learning capabilities, collaborating on our strategic roadmap for building new pipelines and tools that contribute to our connected, complete understanding of our customer journey and improve our customer experience. We currently use Snowflake, DBT, Tableau, and Fivetran and are working with our Data Engineering collaborators on scaling our platform capabilities with a number of other tools!

In addition to the responsibilities outlined above, at Webflow we will support you in identifying where your interests and development opportunities lie and we'll help you incorporate them into your role.

About you:

Requirements:

• Business-level fluency to read, write and speak in English
• Must live in Mexico City and/or the surrounding 16 boroughs

You’ll thrive as a Senior Data Scientist if you:

• Have 4+ years of experiencein a Data Science (or similar) position 
• Have interest and experiencein mentoring and developing the technical skills of your team members, helping to build a collaborative data science practice
• Have demonstrated experience working as a Data Scientist (or the equivalent in quantitative analysis), contributing to the strategic roadmap, providing high quality, reproducible analysis that impacts company strategy and decision making, building tools to enable scalable processes and enabling others to do the same
• Have expertisein applied statistics (e.g. predictive modeling, hypothesis testing, regressions), segmentation and experimentation (e.g. A/B testing) in an industry setting and the ability to explain concepts to technical and non-technical team members
• Have proficiencyin SQL, and experience with a programming language like Python or R
• Curious about diving into the nuances of our business and product data 
• Thrive collaboratingwith product teams in a fast-paced and sometimes ambiguous environment, solving complex and nuanced problems
• Engageboth technical and nontechnical audiences with clear and compelling communication

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company.
• 100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please reviewWebflow’s Applicant Privacy Notice. 

The Basics

We are seeking a seasoned Staff Data Scientist with a strong mathematical foundation to join Tanium’s AI team. Tanium is the first-mover in delivering on the promise of autonomous endpoint management (AEM). Powered by Tanium AI, AEM will deliver comprehensive, autonomous management of endpoints, including security, incident response, patching, change management, and performance monitoring capabilities. 

The Staff Data Scientist will work closely with cross-functional teams to lead the design, development, and deployment of advanced models that deliver autonomous action across Tanium’s suite of solutions. Particular focus will be on the development of the algorithms that serve as inputs AI results (e.g., confidence scoring).  

 What you’ll do

• Conduct research and analysis to identify data patterns and trends that can be leveraged for AI model development. 
• Design, develop, and implement machine learning algorithms and statistical models to power AI results and actions. 
• Ensure AI model development incorporates all necessary guardrails that always allows the user to be in control. 
• Lead testing processes to assess and continuously enhance AI performance.  
• Collaborate with cross-functional teams including software engineers, product managers, and data engineers to integrate AI solutions into our AEM capabilities. 
• Monitor and optimize AI models for performance, scalability, accuracy, and reliability in real-world applications. 
• Stay updated with the latest advancements in AI, machine learning, and related fields to drive innovation within the company. 

 We’re looking for someone with

•  Education
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field(advanced degreepreferred) or equivalent work experience. 
• Experience and skills
  • Proven experience in a data scientist role (8+ years) with a track record of developing and deploying AI models in a production environment. 
  • Proficiency in programming languages for data analysis and machine learning. 
  • In-depth knowledge of mathematical concepts including linear algebra, calculus, probability, and statistics. 
  • Experience with machine learning frameworks 
  • Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. 

About Tanium 

Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering. Its platform is real-time, seamless, and autonomous, allowing security-conscious organizations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk. Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organizations, top US retailers, top US commercial banks, and branches of the U.S. Military. It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realize the full potential of their IT investments. Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For. For more information on The Power of Certainty™, visitwww.tanium.comand follow us onLinkedIn andX. 

On a mission. Together. 

At Tanium, we are stewards of a culture that emphasizes the importance of collaboration, respect, and diversity. In our pursuit of revolutionizing the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.   

We are an organization with stakeholders around the world and it’s imperative that the diversity of our customers and communities is reflected internally in our team members. We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things. 

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.  

What you’ll get

The annual base salary range for this full-time position is $135,000 to $410,000. This range is an estimate for what Tanium will pay a new hire. The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.

About the Role: 

We seek a Senior Data Scientist to play a pivotal role in advancing Tubi's Experimentation platform. You will contribute to the company’s data-driven experimentation process, supporting continuous improvements to the user experience and the organization's strategies. You will be involved in designing, analyzing, and interpreting our testing calendar, which includes A/B, holdout, MMT, and switchback tests. You will advance our technical infrastructure to improve test velocity and statistical rigor. Finally, you will provide insights and recommendations to inform data-driven decisions across all departments.

Responsibilities:

• Plan and execute experimentation strategies, fostering a culture of innovation
• Enhance statistical rigor, metric alignment, transparency, and effectiveness of Tubi’s experiment frameworks
• Research advanced features and methods to add to the experimentation pipeline, aiming to reduce test duration, increase sensitivity, accurately determine sample size, etc
• Define and select experiment proxy metrics that align with the company’s North Star objectives
• Provide expert evaluation of experiment design, including pre-test planning, in-flight monitoring, and post-experiment analysis for graduation decisions
• Collaborate with cross-functional teams to define and execute domain-specific and global holdout tests, measuring the individual and collective impact of the company’s initiatives

Your Background:

• Strong technical experience in a data science role, with emphasis on A/B testing and experimentation in a technology-focused organization
• Deep knowledge of experimental design, statistical methods, and best practices in A/B testing and causal inference
• Advanced proficiency in programming and data manipulation using SQL, Python, and Spark
• Strong analytical skills with proficiency in statistical analysis and the ability to derive insights from large datasets
• Excellent communication skills with the ability to present complex findings in a structured and transparent manner to non-technical stakeholders

Bonus:

• Video streaming industry experience is a plus.

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

Base ($134,000 to $191,000/year) + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

Base ($120,000 to $172,000/year) + Bonus + Long-Term Incentive Plan + Benefits

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