senior data scientist

Behaivior

AreaBehaivior is an award-winning digital health company dedicated to delivering evidence-based, accessible mental health and substance use recovery support. We leverage AI, wearables, and behavioral health technology to close critical care gaps and prevent crises, shifting behavioral health care from reactive to proactive. Our mission is to transform mental health and addiction recovery with predictive, personalized, and accessible care, while reducing the burdens faced by care providers and teams through our innovative software and AI-driven solutions.We have an exciting opportunity for a senior data scientist with a Ph.D. and optional software development skills to join an innovative, mission-driven team.RoleBehaivior is seeking a senior data scientist with a Ph.D. for a part-time contract position with flexible hours, an adaptable schedule, and the potential for expanded involvement. As a senior data scientist with a focus on AI/ML, you&rsquo;ll help shape the direction of the platform to better serve our customers. While not required, experience in software development is preferred. Your expertise, guidance, and oversight in AI/ML will drive Behaivior&rsquo;s technical team forward. Your ability to make quick, informed decisions will be essential to supporting our data engineering and software growth, as well as the ongoing evolution of products that help care for others. You will work across a range of commercial, clinical, research, and other technical initiatives. You will also provide technical research writing support and serve as one of the primary liaisons for team members seeking technical research assistance. Work ethic and professionalism in this role are essential to meeting critical timelines that support the company&rsquo;s continued growth.Duties* Lead the end-to-end development and deployment of machine learning models, focusing particularly on time series data* Implement robust ML Ops practices, including version control, automated testing, and continuous integration/delivery (CI/CD) for ML projects* Develop and implement monitoring and alerting systems to ensure the health and performance of deployed machine learning models* Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions* Architect and implement scalable and efficient solutions on Google Cloud Platform (GCP)* Mentor and guide interns participating in our intern program, fostering a culture of continuous learning and growth* Stay updated with the latest advancements in AI and GCP technologies to drive innovation within the team* Assist with technical writing and research for grants, publications, white papers, and business planning* Understand the vision of our complex technology ecosystem* Depending on experience, contribute to software development for Behaivior&rsquo;s mobile and web applicationRequired Qualifications:* Ph.D. in Data Science, Computer Science, Engineering, or a related field* Proven experience in deploying machine learning models to production environments* Expertise in Google Cloud Platform, including hands-on experience with GCP services* Strong programming skills in Python* Solid understanding of and experience with applied machine-learning concepts and frameworks* Expert in applied machine learning development and MLOps practices* Understanding of cloud (GCP) infrastructure* Generally be able to learn on the fly* Comfortable with shifting tasks to meet deadlines* Applicants must be U.S. citizens residing and working within the United States due to position-specific requirementsPreferred Qualifications:* Experience collaborating with product, engineering, UX, and research team members* Experience in the healthcare industry and working in a HIPAA-compliant environment* Knowledge of DevOps practices for ML model deployment* Familiarity with automated testing and continuous integration for machine learning projects* Experience publishing/presenting research* Extensive R&amp;D background* Grant writing experience* Entrepreneurial and leadership experience* Patent development experienceDesired Qualifications:* Proficiency or experience in software development* Experience in working with wearable or IoT devices and APIs* Experience in database design and development* Experience in software tools for Mobile* Experience in API development and usage, JavaScript, HTML, CSS, and Mobile (Responsive) development ideologies* Familiarity with ReactJS, React Query, Typescript, Firebase, and Cordova.Please provide at least 2 references with full names, phone numbers, and email addresses.Behaivior provides equal employment opportunities to all team members and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.Job Type:<ul><li>Part-time contract. Equity options available. The contract type and details may be flexible for the right candidate, with potential for additional opportunities and expanded involvement.</li></ul>Schedule:<ul><li>Up to 80 hours per month</li></ul>Benefits:<ul><li>Flexible schedule</li><li>Professional development assistance</li></ul>Application Question(s):<ul><li>This position requires a completed or in-progress Ph.D. in a relevant field. Do you currently hold a Ph.D. or are you actively pursuing one?</li></ul>Work Location: Remote

Senior Data Scientist

NTT DATA

Req ID: 365630
 
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
 
We are currently seeking a Senior Data Scientist to join our team in Tampa, Florida (US-FL), United States (US).
 
Job Duties: NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be comfortable with the following:
 
<ul>
<li>Driving new data insights to uncover business opportunities & revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas & how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul>
Key Responsibilities: 
<ul>
<li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li>
<li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li>
<li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li>
<li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li>
<li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li>
<li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li>
<li>Piping and processing massive data-streams in distributed computing environments.</li>
<li>Implement batch and real-time model scoring.</li>
<li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li>
<li>Apply business knowledge to analyze data, develop reports and solve problems ·Perform ad hoc analyses of data depending on business needs.</li>
<li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li>
</ul>
Basic Qualifications: 
<ul>
<li>7+ years of experience supporting data science projects in a consulting environment.</li>
<li>7+ year(s) of experience participating in projects that focused on one or more of the following areas:</li>
</ul>
o Predictive Analytics
 
o Data Design
 
o Statistics
 
o AI/ML
 
o ML Ops
 
<ul>
<li>7+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul>
Preferred Skills: 
<ul>
<li>Master’s degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
<li>Ability to drive individual hands on development plus oversee more junior developers / engineers</li>
</ul>
Minimum Skills Required: 
<ul>
<li>7+ years of experience supporting data science projects in a consulting environment.</li>
<li>7+ year(s) of experience participating in projects that focused on one or more of the following areas:</li>
</ul>
o Predictive Analytics
 
o Data Design
 
o Statistics
 
o AI/ML
 
o ML Ops
 
<ul>
<li>7+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul>
About NTT DATA
 
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R
 
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
 
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
At Aetna&reg;, part of CVS Health, we proudly serve more than 26 million medical members through our broad range of health plan offerings. We're committed to delivering a simpler, more meaningful, and personal health care experience to each of them.
As a Senior Data Scientist you will be working on a Medicare Analytics team that will help make business decisions and, you will play a critical role in supporting our Aetna members and our business.
Come work at a place where innovation is encouraged and impact is real. You&rsquo;ll have the opportunity to build models, experiment with creative ideas, and introduce new approaches to solving complex Member Experience challenges and making a direct difference in our members lives.
Responsibilities:<ul><li>
Model Development: Develop and implement advanced machine learning models for forecasting and predictive analytics. As a key member of our team, you will be responsible for developing and standardizing forecasting applications using time series techniques to provide forward-looking insights to our members, to improve Member experience</li><li>
ML-Ops: Develop, deploy and maintain machine learning models in production, ensuring robust and scalable solutions.</li><li>
Collaboration: Work closely with cross-functional teams, including product managers, engineers, and business analysts, to understand business needs and deliver data-driven solutions.</li><li>
Innovation: Stay up-to-date with the latest advancements in data science and machine learning, and apply them to improve existing processes and models.</li><li>
Reporting: Create and present detailed reports and visualizations to communicate findings and recommendations to stakeholders.</li><li>
Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets</li><li>
Communication Skills: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul> 
Required Qualifications<ul><li>
3+ years of relevant Data Science experience</li><li>
3+ years' experience programming in Python</li><li>
3+ years' experience programming in SQL</li><li>
2+ year experience working with Cloud Technology (GCP, AWS or Azure)</li><li>
1+ year experience deploying models in production</li></ul> 
Preferred Qualifications<ul><li>
Experience in Google Cloud/BigQuery</li><li>
2 plus years of healthcare or health insurance experience</li><li>
Strong problem-solving experience with a history of making business impact</li><li>
Knowledge of Time Series forecasting techniques, and Machine learning methods including classics like SARIMA, exponential smoothing, time series regressions, and machine learning methods like LSTM, XGBoost, etc</li></ul> 
Education<ul><li>
Bachelor's degree or equivalent work experience in Business Analytics, Economics, Physics, Engineering, Mathematics, Statistics, Computer Science, or related discipline.</li></ul>
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 04/07/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Genentech

<div><div><div>THE POSITION</div>
Job Summary
The Senior Data Scientist in Data, Analytics, and AI develops, deploys, and industrializes enterprise applications leveraging machine learning techniques to extract value from structured and unstructured data across Commercial and Medical domains. Acting as a strategic thought partner, the role involves shaping impactful business priorities, collaborating cross-functionally, and delivering actionable insights. The position requires a strong execution mindset, commitment to data quality and governance, and the ability to communicate complex findings to different audiences&mdash;all while staying at the forefront of AI innovation and aligning with Genentech&rsquo;s standards and compliance.
Key Job Responsibilities<ul><li>
Drive the development, deployment, and industrialization of enterprise applications using machine learning techniques (e.g., classification, regression, and forecasting) to generate value from structured and unstructured data for Commercial and Medical organizations.</li><li>
Develop a deep understanding of customers and market dynamics, and apply your technical skills to advance that knowledge and guide the organization, delivering products that help create an integrated customer experience for customers.</li><li>
Help stakeholders define clear, impactful business priorities, and where possible, use their own expertise or existing analysis/research to influence and guide.</li><li>
Act as subject matter expert for applicable Data Science and other advanced analytical methodologies, programs, and projects. Collaborate within cross‑functional teams to develop efficient Machine Learning‑based applications, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision‑making.</li><li>
Take an enterprise mindset, linking individual responsibilities with broader organization; focus on outcomes that provide most business value.</li><li>
Apply data science and other advanced analytical methodologies, using multiple data sources and tools.</li><li>
Collaborate with data science product owners/managers, data leads, ML Engineers, and MLOps team to develop efficient machine learning-based applications, gain alignment, and deliver impactful business insights.</li><li>
Communicate findings effectively to both technical and non-technical audiences.</li></ul> 
Who You Are<ul><li>
Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.</li><li>
5 years of experience in data science or related roles.</li><li>
Proficiency in programming languages such as Python, R.</li><li>
Knowledge of SQL for database management.</li><li>
Strong expertise in Machine Learning and Deep Learning techniques</li><li>
Excellent verbal and written communication skills, with the ability to present complex data analyses to non-technical stakeholders.</li><li>
Strong critical thinking and problem-solving abilities, with a detail-oriented approach to data analysis.</li></ul> 
Preferred Qualifications<ul><li>
Experience working with large and complex data sets in collaboration with business and analytics teams.</li><li>
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li>
Contributions to open source projects or publications in data science.</li><li>
Experience in healthcare, pharmaceutical, or highly regulated industries.</li><li>
Relevant certifications in data science, machine learning, or AI technologies (e.g., Certified Analytics Professional, AWS or similar certifications).</li><li>
Experience working with large, complex data using Hadoop or Spark or any other big data platforms.</li><li>
Proficiency with industry-standard programming languages such as Python.</li><li>
Experience with other Data Science and cloud-computing tools and platforms (AWS, GCP, etc.).</li><li>
Proficiency using ML in a variety of contexts such as insight generation, ROI calculation, text classification, clustering etc.</li><li>
Experience with data visualization tools such as tableau, and/or Qlik, and/or data studio etc.</li><li>
Experience translating research or analysis to communicate (in presentations and in writing) concise and compelling business stories that influence decisions and strategy.</li></ul>
Location<ul><li>
This position is based in South San Francisco, CA at our Genentech Campus</li><li>
Relocation benefits are NOT available for this posting</li></ul>
The expected salary range for this position based on the primary location of South San Francisco, CA is $185,200/yr to $343,900/yr. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.
 Benefits
#LI-CM4
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Computational Biology
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 2nd 2026
</div><div>Job ID
202604-108637</div></ul></div></div></div></div>

Microsoft

<div>Overview<div> 
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us! 
 
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
</div><div>We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
</div><div>We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.</div><div>
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
</div><div>Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.</div> 
Responsibilities<div><ul><li> 
You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.</li></ul></div><div><ul><li>
You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.</li></ul></div><div><ul><li>
You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.</li></ul></div><div><ul><li>
You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.</li></ul></div><div><ul><li>
You will embody our culture and values.</li></ul></div> 
Qualifications 
Required/minimum qualifications<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li></ul>
Additional or preferred qualifications<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li></ul>
#ISEngineering
#WSS 
 
 
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

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