staff data scientist

Intuit

<div><b>Category</b> Data, Internship <b>Location</b> Mountain View, California; San Diego, California <b>Job ID</b> 20299</div>
<br><div><div><h2 class="jobSectionHeader"><b>Company Overview</b></h2>
<div><p>Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.</p>
</div></div><div><h2 class="jobSectionHeader"><b>Job Overview</b></h2>
<p>We are seeking a Staff Data Scientist to join our Commercialization Data Science organization. This role is built for a strategic, business-oriented expert who thrives at the intersection of ecosystem growth, customer unit economics, and cross-functional influence. You will be the an architect of data-driven strategies focused on deepening customer penetration across our suite of products and maximizing long-term retention.</p><p></p><p>
You will partner with leaders across Product, Marketing, Sales, Finance, and Data Engineering to transform complex customer behaviors into actionable commercial strategies. Your work will bridge the gap between raw behavioral data and high-level ecosystem health, ensuring our product stories are backed by rigorous causal inference and predictive modeling.</p><p><b><br>
Responsibilities</b></p><p></p><ul><li>
Drive Ecosystem Strategy: Set the analytical direction for how we deepen customer engagement. You will define the frameworks that determine how we move a customer from a single-point solution to a fully integrated multi-product user.</li><li>
Ecosystem Penetration &amp; Retention: Own complex problem spaces regarding customer stickiness. Develop retention frameworks that move beyond what happened to why it happened and how to prevent it.</li><li>
Commercialization Frameworks: Invent and scale novel methodologies to measure the ecosystem multiplier effect, quantifying how product adoption sequences impact total Lifetime Value (LTV).</li><li>
Causal Inference &amp; Experimentation: Lead the design of complex experiments and observational studies to validate commercial hypotheses. You will guide the team on how to move from correlation to causation when analyzing customer upgrade paths and cross-sell triggers.</li><li>
Strategic Thought Partnership: Serve as a core advisor to executive leadership, influencing investment trade-offs between new customer acquisition and existing customer expansion through clear articulation of risks, ROI, and strategic implications.</li><li>
Technical Mentorship: Multiply your impact by raising the bar for analytical rigor. You will set the standards for how the Commercialization team approaches data storytelling, ensuring insights are both technically sound and commercially resonant.</li></ul><p><b><br>
Qualifications</b></p><p></p><ul><li><div>
8+ years of experience in data science, strategy, or qualitative research roles. Experience in consulting or a strategy-focused capacity is a plus.</div></li><li><div>
Technical proficiency in SQL, Python, GitHub, and Databricks. Experience with BI tools (Tableau, Qlik Sense) is a plus.</div></li><li><div>
Strong track record of hypothesis generation and translating insights into data-driven execution with measurable impact on strategic roadmaps. Experience building models, analyzing experimentation, applying research, and financial modeling to iterate on learning plans.</div></li><li><div>
Strong understanding of A/B testing and causal inference principles, with the ability to guide teams on interpretation, limitations, and strategic implications.</div></li><li><div>
Exceptional communication skills, with the ability to influence executives and collaborate effectively across technical and non-technical teams.</div></li><li><div>
Ability to thrive in ambiguity and connect data to strategic clarity.</div></li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><div>
Bay Area California $ 186,500- 252,000</div><div>
Southern California $ 179,000- 242,000</div><br>
<p></p>
</div><div> <p>Saved</p></div></div><p></p>

Staff Data Scientist

Realtor.com

<div>
 <p>
  Recognized as the No. 1 site trusted by real estate professionals, Realtor.com&reg; has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com&reg; not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions.
 </p>
 <p>
  Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We Are
  </strong>
 </p>
 <p>
  Realtor.com&reg; is your one stop shop for homebuyers, sellers, and dreamers, with comprehensive for-sale listings, insightful information, valuable tools and professional expertise. We make buying, selling, and living in homes easier and more rewarding for everyone. We&rsquo;re excited and hungry to make a difference to the millions of people in the US who buy a home each year. Our aspiration starts with treating our home buyer as our focal point - we believe that delivering on experiences that truly help people through this seemingly difficult life event will lead us to continued and greater success as a company.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About The Role
  </strong>
 </p>
 <p>
  Are you a marketing or data expert? Proficient at munging data from Google, Bing, and enterprise analytics platforms? Have a solid understanding of statistical concepts, testing and experimentation? Let&rsquo;s chat. At Realtor.com&reg;, our data science &amp; analytics teams sit at the forefront of helping leaders make decisions about how to help over 100M+ users navigate the complex world of real estate. In this position, you will democratize insights and analytics across the org, working with a variety of tools and tech that integrates with thousands of different data sources to make media more efficient. If you want to pursue your professional goals as you help grow an innovative real estate tech company, this work is for you. Join us as our newest Staff Data Scientist, Marketing Analytics and help change the world of real estate, one home at a time. We're building an AI-native data science team that actively leverages tools like Claude Desktop and Claude Code to move faster, write sharper code, and surface deeper insights. If you're genuinely excited about working at the frontier of AI-augmented analytics &mdash; not just aware of it, but living it daily &mdash; this role is for you.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll do
  </strong>
  :
 </p>
 <ul>
  <li>
   Create full funnel reporting for the Seller business to understand consumer behavior, engagement and retention across all platforms
  </li>
  <li>
   Work collaboratively with marketing, product, and engineering to establish measurement best practices for SEM / performance media.
  </li>
  <li>
   Prescribe different levers available on paid search to optimize media performance. Track performance of said levers and surface what&rsquo;s working and what&rsquo;s not working to leadership.
  </li>
  <li>
   Deliver SEM insights across the customer journey to inform acquisition (i.e., awareness, consideration &amp; demand) while developing decision making frameworks around KPIs (e.g., CPA, CPI, ROAS, ROI, LTV etc.)
  </li>
  <li>
   Automate reporting deliverables for cross functional teams. Stakeholders for this role would be both internal and external. External stakeholders would include Google, Bing, and other 3rd party advertising vendors.
  </li>
  <li>
   Analyze test data integrations and develop hypotheses around media experiments (A/B testing, Beyesion methods, Multi-Armed Bandits (MABS), etc. are all very positive)
  </li>
  <li>
   Experience with Experimentation platforms is a plus. We use Amplitude but other tools such as Optimizely, VWO, Adobe Target, LaunchDarkly, http://Split.io , Google Ads Experiments, Mixpanel, Heap, Pendo are also acceptable.
  </li>
  <li>
   Ownership of campaign management, budgeting, and optimization efforts across geo / demo.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   How We Work
  </strong>
  :
 </p>
 <p>
  We value creativity and innovation, supported by in-person collaboration. Our employees work in the office three or more days a week to foster a close-knit culture and drive collaboration.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   How we Reward you:
  </strong>
 </p>
 <p>
  Realtor.com&reg; is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:
 </p>
 <ul>
  <li>
   Inclusive and Competitive medical, Rx, dental, and vision coverage
  </li>
  <li>
   Family forming benefits
  </li>
  <li>
   13 Paid Holidays
  </li>
  <li>
   Flexible Time Off
  </li>
  <li>
   8 hours of paid Volunteer Time off
  </li>
  <li>
   Immediate eligibility into Company 401(k) plan with 3.5% company match
  </li>
  <li>
   Tuition Reimbursement program for degree and non-degreed programs
  </li>
  <li>
   1:1 personalized Financial Planning Sessions
  </li>
  <li>
   Student Debt Retirement Savings Match program
  </li>
  <li>
   Free snacks and refreshments in each office location
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Bring
  </strong>
  :
 </p>
 <ul>
  <li>
   8+ years of related experience in analytics or data science.
  </li>
  <li>
   Experience with setting up campaigns on Google Search Ads or similar platforms
  </li>
  <li>
   Experience with analyzing search query reports for keyword insights, creative testing and landing page optimization
  </li>
  <li>
   Robust analytics skills and ability to work with and analyze large volumes of complex data.
  </li>
  <li>
   Be a subject matter expert on measurement and statistical analyses for your stakeholders. Strong analytical thinking and ability to make data-driven decisions using statistical methods.
  </li>
  <li>
   Strong hand-coding of SQL and very proficient in writing queries either intermediate Python or R or an OOBJ programming language.
  </li>
  <li>
   Ability to create ETL pipelines using Dbt + Airflow.
  </li>
  <li>
   Well versed in Tableau or similar BI tools.
  </li>
  <li>
   Highly collaborative and a team player.
  </li>
  <li>
   Four-year college or university degree in computer science, computer engineering, statistics, mathematics, information management, or a related discipline.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Do the best work of your life at Realtor.com&reg;
 </p>
 <p>
  Here, you&rsquo;ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you&rsquo;ll find your way home too. At Realtor.com&reg;, you&rsquo;ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we&rsquo;ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
 </p>
 <p>
  Diversity is important to us, therefore, Realtor.com&reg; is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com&reg; will provide reasonable accommodations for otherwise qualified disabled individuals.
 </p>
</div>


Okta

<div><div><p><b>Get to know Okta</b><br>
<br>
Okta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.<br>
<br>
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we're looking for lifelong learners and people who can make us better with their unique experiences.<br>
<br>
Join our team! We're building a world where Identity belongs to you.</p></div><p><b>
The Technology, Data, and Intelligence Team</b></p>
<p>
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.</p>
<p><b>
The Staff Data Scientist Opportunity</b></p>
<p>
We are looking for a <b>Staff Product Data Scientist</b> to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta's Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You'll define the long-term data science roadmap while partnering closely with Okta's diverse Product Management teams and executive leadership.</p>
<p><b>
What you'll be doing</b></p>
<ul>
<li><b>Strategic Product Influence:</b> Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>
<li><b>Advanced Analytics and Modeling:</b> Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>
<li><b>Deep-Dive Insight Generation:</b> Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>
<li><b>Data Ecosystem Partnership:</b> Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>
<li><b>Data Preparation and Curation:</b> Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>
<li><b>Executive Communication and Influence:</b> Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>
</ul>
<p><b>What you'll bring to the role</b></p>
<ul>
<li>7+ years of experience in data science or ML, including 3&ndash;5 years in a senior, staff, or technical leadership role.</li>
<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>
<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>
<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>
<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>
<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>
<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>
</ul>
<p><b>And extra credit if you have experience in any of the following!</b></p>
<ul>
<li>Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>
<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>
<li>Experience enabling self-service analytics or citizen data science capabilities.</li>
</ul>
<p>#LI-MC1</p>
<p>
#LI-Hybrid</p>
<p>
#P23809_3392886</p><div><p><b>
What you can look forward to as a Full-Time Okta employee!</b></p>
<ul>
<li>Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul>
<p>Some roles may require travel to one of our office locations for in-person onboarding.</p>
<p>
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
<br>
<br>
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.<br>
<br>
<b>Notice for New York City Applicants &amp; Employees:</b> Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please <b>click here</b> to view our full NYC AEDT Notice.<br>
<br>
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</p></div></div>

<div><p><b>Get to know Okta</b><br>
<br>
Okta is The World&rsquo;s Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.<br>
<br>
At Okta, we celebrate a variety of perspectives and experiences. We are not looking for someone who checks every single box - we&rsquo;re looking for lifelong learners and people who can make us better with their unique experiences.<br>
<br>
Join our team! We&rsquo;re building a world where Identity belongs to you.</p><p><b>
The Technology, Data, and Intelligence Team</b></p>
<p>
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.</p>
<p><b>
The Staff Data Scientist Opportunity</b></p>
<p>
We are looking for a <b>Staff Product Data Scientist</b> to join our Data &amp; Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta&rsquo;s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You&rsquo;ll define the long-term data science roadmap while partnering closely with Okta&rsquo;s diverse Product Management teams and executive leadership.</p>
<p><b>
What you&rsquo;ll be doing</b></p>
<ul><li><b>
Strategic Product Influence:</b> Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.</li>
<li><b>Advanced Analytics and Modeling:</b> Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.</li>
<li><b>Deep-Dive Insight Generation:</b> Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.</li>
<li><b>Data Ecosystem Partnership:</b> Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.</li>
<li><b>Data Preparation and Curation:</b> Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.</li>
<li><b>Executive Communication and Influence:</b> Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.</li>
</ul><p><b>
What you&rsquo;ll bring to the role</b></p>
<ul><li>
7+ years of experience in data science or ML, including 3&ndash;5 years in a senior, staff, or technical leadership role.</li>
<li>Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.</li>
<li>Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.</li>
<li>Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.</li>
<li>Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.</li>
<li>Strong proficiency in Python, SQL, and leading ML libraries.</li>
<li>Excellent communication skills and a proven ability to influence Product and executive partners.</li>
</ul><p><b>
And extra credit if you have experience in any of the following!</b></p>
<ul><li>
Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.</li>
<li>Prior ownership of ML platform/tooling decisions and evaluations.</li>
<li>Experience enabling self-service analytics or citizen data science capabilities.</li>
</ul><p>
#LI-MC1</p>
<p>
#LI-Hybrid</p>
<p>
#P23809_3392886</p>
The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $184,000&mdash;$253,000 USD<p>
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.<br>
<br>
</p>The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$164,000&mdash;$226,000 USD<p><b>
What you can look forward to as a Full-Time Okta employee!</b></p>
<ul><li>
Amazing Benefits</li>
<li>Making Social Impact</li>
<li>Developing Talent and Fostering Connection + Community at Okta</li>
</ul><p>
Some roles may require travel to one of our office locations for in-person onboarding.</p>
<p>
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
<br>
<br>
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.<br>
<br>
<b>Notice for New York City Applicants &amp; Employees:</b> Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please<br>
<br>
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.</p></div>
<br><div></div><div><div><div><div><div><div>Okta
<div>The foundation for secure connections between people and technology</div>
</div></div></div><div><p>Okta is the leading independent provider of identity for the enterprise. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 7,000 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. More than 19,300 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.</p></div></div></div></div><div></div>

Machinify

<div><div><p>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We&rsquo;re constantly reimagining what&rsquo;s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.</p></div><div><p>
Our team builds machine learning models for some of the largest health plans in the country to identify and audit claims errors from simple errors to outright fraud. Large insurance payers receive tens of millions of claims each year, of which they only are able to audit less than 10%. Our claim selection models help with selecting the right set of claims to audit and recover hundreds of millions of dollars each year reducing wasted medical spend. We have made significant progress already, with models that significantly outperform even selection by human experts but there are still many improvements to be made.</p><br>
<p>
We are looking for a <b>Staff Data Scientist</b> to advance our models further. In addition to building best-in-class models, this person will create technical frameworks and tools to help the team achieve greater scale and improved business outcomes.</p><br>
<p></p>
<p><b>
What You&rsquo;ll Do:</b></p>
<ul>
<li><p><b>Master Claim Audits:</b> Dive into various clinical and coding audits, unpacking the data that drives audit decisions, and understanding past outcomes.</p>
</li>
<li><p><b>Model Advancement:</b> Curate labeled data, hypothesize new features, and develop ML models that target claims for audit with even greater precision.</p>
</li>
<li><p><b>Optimize Impact:</b> Measure model performance rigorously, translating outcomes into operational insights and recommendations for our clients.</p>
</li>
<li><p><b>Tame Complexity:</b> Work with vast, nuanced data pipelines derived from intricate business workflows&mdash;often unclean and undefined&mdash;to refine them for robust modeling.</p>
</li>
<li><p><b>Drive Team Success:</b> Enhance data pipelines, modeling infrastructure, and team tools to level up our capabilities and decision-making efficiency.</p>
</li>
<li><p><b>Grow with Healthcare:</b> Build expertise in healthcare data and make an impact on the industry. Engage with clients and internal experts to refine model insights, ensuring alignment with real business needs.</p><br>
<p></p>
</li>
</ul><p><b>What You Bring:</b></p>
<ul>
<li><p>You enjoy solving real-world business problems involving data-driven optimization and ML modeling - and have been doing that successfully for a while.</p>
</li>
<li><p>You are comfortable measuring and optimizing the direct business impact of work.</p>
</li>
<li><p>You are experienced with SQL, handling large-scale data, and are comfortable with at least one programming language (Python, R, etc.).</p>
</li>
<li><p>You have experience building ML models using modern ML approaches like Neural Nets or Tree-ensembles from scratch for new applications - making decisions relating to which supervised labels to use, the metric to optimize for, and the features likely to be useful</p></li></ul><br>
<p>
</p><p><b>What We Offer</b></p>
<ul>
<li>Work from anywhere in the US! Machinify is digital-first.</li>
<li>Top Medical/Dental/Vision offerings</li>
<li>FSA/HSA</li>
<li>Tuition reimbursement</li>
<li>Competitive salary, 401(k) with company match</li>
<li>Unlimited PTO</li>
<li>Additional health and wellness benefits and perks</li>
<li>Flexible and trusting environment where you&rsquo;ll feel empowered to do your best work</li>
</ul>
<p>The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.</p></div><div><div><b>
Equal Employment Opportunity at Machinify</b></div>
<div></div>
<div>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div></div>

Staff Data Scientist | Modeling

SonderMind

<div><h2 class="jobSectionHeader"><b>About SonderMind</b></h2><p>
At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram and Linkedin
</p><p>Additionally, we expect all team members to effectively leverage modern AI technologies as part of their everyday workflow, and to continuously adapt as new tools emerge. Familiarity with job-relevant AI platforms such as Gemini, ChatGPT, Claude, GitHub Copilot or other industry-standard AI productivity tools is expected and considered essential for success at this company.
</p><p></p><h2 class="jobSectionHeader"><b>About the Role</b></h2><p>
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.</p><p>
To follow the latest SonderMind news, get to know our clients, and learn about what it&rsquo;s like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter.</p><p></p><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2><p>
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. 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.</p><p></p><h2 class="jobSectionHeader"><b>
Essential Functions</b></h2><ul><li><p>
Deploy models and services to continuously improve client &amp; provider experiences on the platform</p></li><li><p>
Lead algorithm and architecture design decisions for new and ongoing ML initiatives</p></li><li><p>
Prototype new ML services - including potentially reproducing services/models from published pseudocode - encompassing identification of source data, creation of ML pipelines, and deployment to our platform</p></li><li><p>
Conduct code reviews and guidance on best practices</p></li><li><p>
Write, update, and deliver documentation on ML services and infrastructure</p></li><li><p>
Analyze existing data to identify areas of improvement or new ML initiatives</p></li><li><p>
Collaborate with engineering teams to integrate ML based functionality</p></li><li><p>
Design and deploy A/B tests and Multi-armed bandit experiments to optimize services and deliver reports on findings to stakeholders<br>
<br>
</p></li></ul><p><b>Key Technologies:</b></p><ul><li><p>
Python: Pytorch, Pyspark</p></li><li><p>
REST API services</p></li><li><p>
Kubernetes and Docker</p></li><li><p>
SQL (PostgreSQL and Snowflake)</p></li><li><p>
NoSQL (DynamoDB, Elasticsearch)</p></li></ul><ul><li><p>
AWS Services: Sagemaker, Athena, Glue, Feature Store</p></li><li><p>
Git/Gitlab</p></li><li><p>
LaunchDarkly</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What does success look like?
</b></h2><ul><li><p>Design and implement ML data products and systems that directly impact clinicians and clients across the mental healthcare journey</p></li><li><p>
Independently identify and communicate new opportunities to apply data science to improve clinician/client workflows and healthcare quality</p></li><li><p>
Deliver production-ready services and demonstrate leadership in problem-solving technical challenges</p></li><li><p>
Partner cross-functionally with a curious, solution-oriented approach to drive alignment with the applied science and data engineering org</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
Ph.D. (preferred) or M.S. in a quantitative science such as computer science, engineering, data science, applied mathematics, statistics, etc.</p></li><li><p>
5+ years of preparing and deploying ML data products</p></li><li><p>
Prior experience at early- to mid-stage growth companies is preferred</p></li><li><p>
Experience in the health-tech and/or mental health space is a strong bonus</p></li><li><p>
Strong statistics and experimental design background</p></li><li><p>
Proficiency with Python programming language</p></li><li><p>
Expertise in recommender systems utilizing multiple underlying technologies such as reinforcement learning and collaborative filtering</p></li><li><p>
Predictive modeling and expertise with multiple optimization frameworks such as gradient descent, particle swarm optimization, simulated annealing, quadratic programming, and Bayesian optimization</p></li><li><p>
Experience with generative models and artificial intelligence</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Our Benefits
</b></h2><p>The anticipated salary range for this role is $180,000 - $200,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for equity.</p><p>
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&rsquo;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.</p><p>
Our benefits include:</p><ul><li><p>
A generous PTO policy, with a minimum of three weeks off per year</p></li><li><p>
A holiday schedule that follows standard U.S. holidays</p></li><li><p>
Free therapy coverage benefits to ensure employees have access to the care they need (must be enrolled in a qualifying medical plan to participate)</p></li><li><p>
Competitive Medical, Dental, and Vision coverage, with plans to meet every need &mdash; including HSA (with $1,100 company contribution) and FSA options</p></li><li><p>
Employer-paid short-term disability, long-term disability, life &amp; AD&amp;D, plus coverage of the salary difference for up to seven weeks of short-term disability leave (after the required waiting period)</p></li><li><p>
Eight weeks of paid Parental Leave; if the parent also qualifies for STD, this benefit is in addition, allowing for 8&ndash;16 weeks of paid leave</p></li><li><p>
401(k) retirement plan with 100% match on up to 4% of base salary, immediately vested</p></li><li><p>
Join teammates from across the country at our annual company gathering</p></li><li><p>
Company shutdown between Christmas and New Year&rsquo;s</p></li><li><p>
Supplemental life insurance, pet insurance, commuter benefits, and more</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Application Deadline</b></h2><p>
This position will be an ongoing recruitment process and will be open until filled.</p><p></p><h2 class="jobSectionHeader"><b>
Equal Opportunity
</b></h2><p>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.</p></div>

Senior Staff Data Scientist

<div><div><p>Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We&rsquo;re constantly reimagining what&rsquo;s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.</p></div><div><p>
We are seeking a Staff Data Scientist. This role will be responsible for leading the build and deployment of classical ML and GenAI systems that generate and validate billing error, audit, and fraud concepts in healthcare payments. You will partner with SMEs and cross-functional stakeholders to deliver production-grade capabilities with clear customer and financial impact.</p><br>
<p><b>
What you will do:</b></p>
<ul>
<li><p>Build and ship classical ML and GenAI pipelines that surface, rank, and explain candidate billing error, audit, and fraud concepts across large-scale healthcare claims data</p>
</li>
<li><p>Advance state-of-the-art research in anomaly detection, information retrieval, and weak supervision, turning research into robust production systems</p>
</li>
<li><p>Accelerate concept generation and concept validation with SMEs by designing human-in-the-loop workflows that enable high-throughput review with strong precision, recall, and traceability</p>
</li>
<li><p>Own end-to-end delivery from problem framing and data strategy to model development, evaluation, deployment, and monitoring, with a focus on reliability and customer outcomes</p>
</li>
<li><p>Partner cross-functionally with Product, Data Engineering, Operations, SMEs, and business leaders to prioritize work, unblock execution, and unlock material financial value</p>
</li>
<li><p>Help scale the team and platform as Machinify grows aggressively toward resale and IPO readiness</p><br>
</li>
</ul><p><b>What you bring:</b></p>
<ul>
<li><p>Degree in Computer Science, Engineering, or a related field</p>
</li>
<li><p>5+ years of professional data science experience</p>
</li>
<li><p>Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment</p>
</li>
<li><p>Strong knowledge of data privacy regulations and best practices in data security</p>
</li>
<li><p>Exceptional team management abilities, with experience in building and leading high-performing teams</p>
</li>
<li><p>Ability to think strategically and execute methodically</p>
</li>
<li><p>Ability to drive change and inspire a distributed team</p>
</li>
<li><p>Strong problem-solving skills and a data-driven mindset</p>
</li>
<li><p>Ability to communicate effectively, collaborating with diverse groups to solve complex problems</p>
</li>
<li><p>You embrace challenges with optimism and a balanced, and bring a business-oriented approach to product development</p>
</li>
<li><p>You prioritize customer impact, ensuring your work significantly advances our product value</p><br>
</li>
</ul><p><b>What We Offer</b></p>
<ul>
<li>Work from anywhere in the US! Machinify is digital-first.</li>
<li>Top Medical/Dental/Vision offerings</li>
<li>FSA/HSA</li>
<li>Tuition reimbursement</li>
<li>Competitive salary, 401(k) with company match</li>
<li>Unlimited PTO</li>
<li>Additional health and wellness benefits and perks</li>
<li>Flexible and trusting environment where you&rsquo;ll feel empowered to do your best work</li>
</ul>
<p>The salary for this position is based on an array of factors unique to each candidate: Such as years and depth of experience, set skills, certifications, etc. We are hiring for different levels, and our Recruiting team will let you know if you qualify for a different role/range. Salary is one component of the total compensation package, which includes meaningful equity, excellent healthcare, flexible time off, and other benefits and perks.</p></div><div><div><b>
Equal Employment Opportunity at Machinify</b></div>
<div></div>
<div>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. Machinify is an employment at will employer. We participate in E-Verify as required by applicable law. In accordance with applicable state laws, we do not inquire about salary history during the recruitment process. If you require a reasonable accommodation to complete any part of the application or recruitment process, please let our recruiters know. See our Candidate Privacy Notice at: https://www.machinify.com/candidate-privacy-notice/</div></div></div>

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