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staff data scientist growth marketing

Charlie Health

<div>
 
 Why Charlie Health?
 
 
 
 Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they&rsquo;re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.
 
 
 Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection&mdash;between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we&rsquo;re expanding access to meaningful care and driving better outcomes from the comfort of home.
 
 
 As a rapidly growing organization, we're reaching more communities every day and building a team that&rsquo;s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we&rsquo;d love to meet you.
 
 
 
 About The Role
 
 
 
 As a Staff Data Scientist - Growth and Marketing, you&rsquo;ll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling &amp; causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org.
 
 
 We&rsquo;re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you&rsquo;re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making
 </li>
 <li>
 Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design
 </li>
 <li>
 Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity
 </li>
 <li>
 Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), &amp; align on consistent metric definitions (e.g. CAC, conversion, retention)
 </li>
 <li>
 Develop spend optimization &amp; channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes
 </li>
 <li>
 Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules &amp; guardrails for each approach
 </li>
 <li>
 Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigor
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams
 </li>
 <li>
 Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders
 </li>
 <li>
 Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.)
 </li>
 <li>
 Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation
 </li>
 <li>
 Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)
 </li>
 <li>
 Excellent ability to communicate, collaborate, and influence business partners at all levels
 </li>
 <li>
 Bonus: Healthcare Experience, Start-up Experience
 </li>
 <li>
 Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes
 </li>
 <li>
 Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
 
 
 
 Additional Information
 
 
 
 
 The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits.
 
 
 
 Our Values
 
 
 <ul>
 <li>
 Connection: Care deeply &amp; inspire hope.
 </li>
 <li>
 Congruence: Stay curious &amp; heed the evidence.
 </li>
 <li>
 Commitment: Act with urgency &amp; don&rsquo;t give up.
 
 
 </li>
 </ul>
 
 Please do not call our public clinical admissions line in regard to this or any other job posting.
 
 
 
 
 Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.
 
 
 
 
 Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.
 
 
 
 
 At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.
 
 
 
 
 Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.
 
 
 
 
 By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service.
 
 
 
 
 By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.
 
 
 
</div>

Staff Data Scientist (Growth & Marketing)

<div><div><h3 class="jobSectionHeader">Why Charlie Health?</h3>

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.

Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection&mdash;between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home.

As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you.</div><h3 class="jobSectionHeader">
About the Role</h3>

As a Staff Data Scientist - Growth and Marketing, you'll be seen as a thought leader among Growth, Marketing, and Revenue partners to help them be rigorous and thoughtful on how to best use data. You will bring an experienced perspective among the team to inform their roadmaps, shape their thinking, and drive outcomes. You will contribute directly to the growth of the company, via streamlining marketing measurement and approaches, leveraging statistical rigor via modelling &amp; causal inference to teams, and via identifying new opportunities for continued and sustained impact across the org.

We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.
<h3 class="jobSectionHeader">
Responsibilities</h3>
<ul><li>Partner with Growth, Marketing, Revenue, and Operations to turn ambiguous business questions into clear analytical recommendations that influence strategy and decision-making</li>
<li>Build and iterate on lead, account, and ICP scoring models that help reps prioritize efforts and partner with Ops on data-driven territory design</li>
<li>Develop models to analyze successful high-performer rep patterns to optimize onboarding and productivity</li>
<li>Architect and maintain a trusted marketing measurement framework (e.g. MMM, incrementality testing [geo tests, holdouts, lift studies]), &amp; align on consistent metric definitions (e.g. CAC, conversion, retention)</li>
<li>Develop spend optimization &amp; channel allocation frameworks that account for saturation, diminishing returns, and the tradeoff between short-term acquisition and long-term outcomes</li>
<li>Apply causal inference methods (DiD, synthetic controls, quasi-experiments) to own channel-level incrementality measurement, with clear decision rules &amp; guardrails for each approach</li>
<li>Design and scale repeatable experimentation frameworks for channel, creative, and audience testing, increasing velocity without compromising rigor</li>
</ul><h3 class="jobSectionHeader">Requirements</h3>
<ul><li>7+ years in data science/analytics roles, at least 3 of those years with Marketing, Sales, and/or Revenue teams</li>
<li>Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders</li>
<li>Familiarity with CRMs (e.g. Salesforce), Marketing Platforms, and the metrics / terminology associated with them (CAC, Opps, etc.)</li>
<li>Experience with modeling work that spans at least some of: MMM, LTV, Lead Scoring, Attribution Modeling, and Segmentation</li>
<li>Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement)</li>
<li>Excellent ability to communicate, collaborate, and influence business partners at all levels</li>
<li>Bonus: Healthcare Experience, Start-up Experience</li>
<li>Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes</li>
<li>Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week</li>
</ul><h3 class="jobSectionHeader">Benefits</h3> 

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

Additional Information

The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid<div><h3 class="jobSectionHeader">
Our Values</h3>
<ul><li>Connection: Care deeply &amp; inspire hope.</li>
<li>Congruence: Stay curious &amp; heed the evidence.</li>
<li>Commitment: Act with urgency &amp; don't give up.</li>
</ul>
Please do not call our public clinical admissions line in regard to this or any other job posting.

Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.

Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.

At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.

Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.

By clicking &quot;Submit application&quot; below, you agree to Charlie Health's Privacy Policy and Terms of Service.

By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.</div></div>

Spotify

<div>
 We are looking for a Data Scientist to join the Business Analytics team at Spotify. In this role, you&rsquo;ll shape Spotify&rsquo;s performance marketing and growth strategy by developing models, designing experiments and measuring the impact of marketing investments. Partnering with the Growth Analytics Lead, you&rsquo;ll turn data into strategies that guide budget allocation, optimize spend and accelerate efficient growth across paid media channels. You&rsquo;ll collaborate with a global, cross-functional team of analysts, data scientists, marketers, business leaders, and engineers to scale insights and drive efficient growth. Learning and improving is part of our daily routine, and you will get a platform to develop your data skills and carve out efficient ways of working.
 
 
 The Business Analytics team is part of Spotify&rsquo;s core business strategy organization. You&rsquo;ll play a crucial role in the growth and direction of Spotify as we grow to 700M+ users around the globe. At your fingertips, you&rsquo;ll have access to all of the data Spotify has to offer, and the opportunity to be creative with how you use it to derive insights and strategies. Above all, your work will impact the way the world experiences audio!
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Develop data-driven strategies to drive the growth of Spotify users and subscribers, with a focus on performance marketing
 </li>
 <li>
 Refine attribution practices and define robust, data-backed methods to measure the incremental impact of marketing spend
 </li>
 <li>
 Partner with third-party advertising platforms and agencies to design and implement comprehensive experiments and lift studies
 </li>
 <li>
 Contribute to annual and quarterly planning through impact forecasting, budget allocation and scenario modelling
 </li>
 <li>
 Build scalable data pipelines and dashboards to track marketing efficiency and Global business performance
 </li>
 <li>
 Collaborate closely with business partners to understand growth drivers and guide strategic marketing decisions
 </li>
 <li>
 Present insights and recommendations to senior stakeholders, influencing the course of our business
 
 
 </li>
 </ul>
 Who You Are
 
 
 <ul>
 <li>
 3+ years synthesizing insights from data using tools such as Python/R and SQL
 </li>
 <li>
 Hands-on experience supporting marketing organizations with their paid media strategy, including running and analyzing incrementality tests on platforms like Meta, Google and TikTok
 </li>
 <li>
 Proven experience building advanced models to understand and optimise paid media campaigns
 </li>
 <li>
 Skilled at collaborating with business partners to measure the impact of marketing initiatives and presenting those findings in coherent recommendations
 </li>
 <li>
 Intellectually curious, creative, and diligent - you enjoy thinking about the business as much as about the data
 </li>
 <li>
 Have a background in Computer Science, Statistics, Engineering or other relevant field
 </li>
 <li>
 Comfortable working on a globally distributed team (with occasional international travel)
 
 
 </li>
 </ul>
 Where You'll Be
 
 
 <ul>
 <li>
 This role is based in New York
 </li>
 <li>
 We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
 
 
 </li>
 </ul>
 The United States base range for this position is $110,018 - $157,169, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, paid sick leave. These ranges may be modified in the future.
 
 
 Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.
 
 
 At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.
 
 
 Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.
</div>

Data Scientist - Growth Analytics (Performance Marketing)

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
The Mailchimp Customer Success (CS) Data Science &amp; Analytics team empowers exceptional customer experiences across digital and expert-led channels by delivering insights, experimentation, and predictive analytics that drive measurable business impact. We partner closely with Customer Success, Product, Data Engineering, and Operations teams to improve customer engagement, retention, and long-term success for Mailchimp&rsquo;s small and mid-market customers.
As a Senior Data Scientist, you will be a highly independent individual contributor responsible for driving end-to-end analytical work on high-impact Customer Success initiatives. You will apply strong analytical judgment, experimentation, and modeling skills to help teams understand what works, why it works, and how to improve outcomes across the customer lifecycle. 
This role is ideal for a data scientist who thrives in ambiguous problem spaces, enjoys partnering closely with stakeholders, and wants to deepen their impact through Customer Success data science at scale. 
Responsibilities
Own and execute end-to-end analytical projects that support Mailchimp Customer Success initiatives, from problem framing to insights and recommendations.
Partner with Customer Success, Product, and Operations stakeholders to define success metrics, evaluate program effectiveness, and guide data-informed decisions.
Design, run, and interpret experiments, including A/B tests and quasi-experimental analyses, to measure the impact of CS programs and interventions.
Develop analytical models and customer insights that inform engagement, retention, customer health, and support effectiveness.
Analyze large, complex datasets to uncover trends, risks, and opportunities across the customer lifecycle.
Create clear, actionable narratives and visualizations that communicate findings to technical and non-technical audiences.
Contribute to scalable measurement solutions and reusable analytical assets in partnership with Data Engineering.
Support data quality, metric consistency, and documentation efforts, especially during platform or data migrations.
Collaborate with AI/ML and Product teams to evaluate the impact of AI-enabled customer experiences. 
Role-model Intuit&rsquo;s &ldquo;Win Together&rdquo; value through strong cross-functional collaboration and knowledge sharing. 
Qualifications
4&ndash;7 years of experience in data science, analytics, or product analytics, with demonstrated ownership of impactful analytical projects.
Strong foundation in statistics and experimentation, including experience designing and interpreting A/B tests and observational analyses.
Proficiency in SQL and Python for data analysis and modeling (e.g., pandas, numpy, scikit-learn, statsmodels).
Experience working with large datasets and translating analysis into actionable business insights.
Ability to operate independently while partnering effectively with cross-functional stakeholders.
Strong communication skills, with the ability to explain analytical results clearly and concisely.
Bachelor&rsquo;s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science, Data Science, or related); advanced degree a plus.
Preferred:
Experience in SaaS, fintech, marketing technology, or SMB-focused products.
Familiarity with Customer Success or go-to-market analytics (e.g., churn, retention, customer health, lifecycle engagement).
Experience with causal inference techniques beyond basic experimentation (e.g., matching, DiD).
Familiarity with BI and visualization tools (e.g., Tableau, Looker, Power BI).
Experience building reusable analytical workflows and working with version control (git). 
Exposure to AI/ML or LLM-enabled analytics or customer-facing use cases. 
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:
New York $ 160,000.00 - 216,500.00</div>

Mailchimp Customer Success - Senior Data Scientist

NYU Langone Health

<div><div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.</div><div>
Position Summary: 
We have an exciting opportunity to join our team as a Research Associate for the Torres-V&aacute;zquez Lab at NYU Langone. The lab uses transparent zebrafish embryos to understand how blood and lymphatic vessels form and function, both during normal development and disease. Major techniques used in the lab include confocal imaging, gene expression analysis, forced gene expression, transgenesis, genome editing, cell transplantation, cell culture, and biochemistry. In this role, the successful candidate will conduct basic science research under the mentorship of a senior scientist. The individual is expected to build a portfolio of research accomplishments in preparation for pursuing a higher degree in biomedical research or medicine. Thus, this position is ideal for those who wish to pursue a Master&rsquo;s or Doctoral degree later.
The individual in this role is responsible for conducting fundamental scientific experiments within the assigned laboratory. These experiments will be based on ongoing research projects and protocols established in the lab, and the work will be carried out under the mentorship and supervision of a senior scientist. This position offers an opportunity to gain hands-on experience in a research environment, allowing the individual to apply and deepen their understanding of biomedical science. Additionally, the individual is expected to actively contribute to the lab's research goals by generating reliable data and figures, analyzing results, and assisting with preparing scientific reports, publications, grant proposals, and progress reports for funding agencies. A key focus of this role is to support the development of a robust portfolio of research accomplishments that will be valuable to those pursuing advanced degrees in biomedical research, medicine, or related fields. This position plays an important part in fostering scientific growth and professional development in preparation for future academic and career goals.</div><div>
Job Responsibilities:<ul><li>
Generates hypotheses and designs and performs experiments to test them.</li><li>
After a period of time working in the laboratory, the candidate will be expected to train graduate students and post-doctoral fellows in experimental design, technique and performance.</li><li>
Participates in the editing and proofing of grant proposals, annual grant reports, and manuscripts for publication and recommends modifications to the Principal Investigator.</li><li>
Contributes to the preparation of articles on research outcomes and progress and to the submission of same for publication.</li><li>
Reads and understands relevant scientific literature.</li><li>
Presents findings at lab meeting, responds to challenges, and participates in exchanges of ideas to advance the science.</li><li>
Demonstrates a significant level of intellectual input into the design of the project.</li><li>
Communicates results and collaborates with other professionals in the lab.</li><li>
Prepares figures and diagrams for presentations and publications</li><li>
Based on results, independently suggests and tests modifications to protocols.</li><li>
Records all experimental findings in a laboratory notebook, analyze and interpret experimental findings.</li><li>
Executes multiple experiments simultaneously over time independently.</li></ul>
Additional Position Specific Responsibilities: 
The individual in this role is responsible for conducting fundamental scientific experiments within the assigned laboratory. These experiments will be based on ongoing research projects and protocols established in the lab, and the work will be carried out under the mentorship and supervision of a senior scientist. This position offers an opportunity to gain hands-on experience in a research environment, allowing the individual to apply and deepen their understanding of biomedical science. Additionally, the individual is expected to actively contribute to the lab's research goals by generating reliable data and figures, analyzing results, and assisting with preparing scientific reports, publications, grant proposals, and progress reports for funding agencies. A key focus of this role is to support the development of a robust portfolio of research accomplishments that will be valuable to those pursuing advanced degrees in biomedical research, medicine, or related fields. This position plays an important part in fostering scientific growth and professional development in preparation for future academic and career goals.</div><div>
Minimum Qualifications: 
To qualify you must have a College graduate with a B.S. or B.A. in Biomedical or Physical Sciences. A minimum commitment of two years is required and placement in position may not exceed three years.
Preferred Qualifications: 
Hands-on experience with one or more of the following: molecular biology, genetics, confocal microscopy, developmental or vascular biology, a genetically amenable model organism (for instance, zebrafish, flies, nematode, mouse), and data analysis. Self-motivation, a strong sense of responsibility, solid quantitative skills, and the ability to learn independently are also pluses.
Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.
NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $47,033.89 - $50,000.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.</div></div>

Research Associate

Data Scientist, Products & Applied Research

<div>
 As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: 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 Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied 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 your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
 
 
 Data Scientist, Product Analytics Responsibilities:
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
 </li>
 <li>
 Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
 </li>
 <li>
 Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
 </li>
 <li>
 Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 </li>
 <li>
 Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent
 </li>
 <li>
 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.)
 </li>
 <li>
 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors &amp; long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights]
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Master's or Ph.D. Degree in a quantitative field
 </li>
 <li>
 Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 </li>
 <li>
 Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 </li>
 <li>
 Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 
 
 </li>
 </ul>
 About Meta:
 
 
 Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today&mdash;beyond the constraints of screens, the limits of distance, and even the rules of physics.
 
 
 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, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
 
 
 Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
 
 
 $147,000/year to $208,000/year + bonus + equity + benefits
 
 
 Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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