Data Scientist jobs at MVP Health Care - 139 jobs

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data. Work Location: This is a remote position, open to candidates who reside in: Dallas / Fort Worth, TX. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. The Data Scientist II, MIRS primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the Credit Modeler II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. See Yourself as a Data Scientist II The Data Scientist II primary function is estimating, validating, monitoring, and implementing consumer credit models focused on mortgage default and prepayment. This requires the use of statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Models will be applied to estimate mortgage insurance cash flows including claim incidence, claim severity, required capital, expected premium, return on equity, existing mortgage insurance policy attrition, and new insurance policy acquisition. The position requires the DS II to research, develop and make recommended changes to existing models and new models. Cash flow valuation of primary mortgage insurance policies, structured mortgage insurance policies, mortgage-backed derivatives, reinsurance, and other risk-transfer transactions are also within the position's scope of analysis. Additional responsibilities may include supporting economic scenario simulation, economic capital, and portfolio optimization. Responsibilities include leveraging machine learning, AI and econometrics in hybrid model design using Big Data and unstructured data to cultivate and leverage business insights. The position requires the ability to effectively communicate technical findings and recommendations to nontechnical managements teams. See Your Primary Duties and Responsibilities Delinquency, default, prepayment, claim severity model estimation and design. Programming in support of model estimation, implementation, monitoring, and back testing Creation of analytical presentations and communication of strategic business findings to management Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Model development and methodology research Perform other duties as assigned or apparent. See the Job Specifications Qualifications: Strong understanding of probability modeling. Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment. Knowledge in SAS, R, C++ or python for data analysis and modeling. Experience leveraging AWS based applications and resources (EC2, EMR, S3, Lambda, Jupyter Notebook, Zeppelin, Spark) is desirable. Expert mathematical, statistical, and econometric knowledge. Strong understanding of financial analysis of structured mortgage products. Experience leveraging cloud computing. Able to work in a team environment. Able to effectively summarize and communicate relevant findings and other information. Your Education, Certifications and Prior Work-Related Experience: Degree Requirement: Bachelor's degree or foreign equivalent and 3 years of experience Degree Preferred: Master's degree or foreign equivalent and 1 years of experience. Work Experience: 3 or more years of prior work related experience See Why You Should Work With Us Competitive Compensation: anticipated base salary from $97,000 to $137,000 based on skills and experience. This position is eligible to participate in an annual incentive program. Rest and Relaxation. This role is eligible for 25 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays + 2 floating holidays. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. Our Company Makes an Impact. We've been recognized by multiple organizations like Bloomberg's Gender-Equality Index, HousingWire's Tech 100, and The Forum of Executive Women's Champion of Board Diversity. Radian has also pledged to PwC's CEO Action for Diversity & Inclusion commitment. Comprehensive Health Benefits. Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. Prepare for your Future. 401(k) with a top of market company match ( did we mention the company match is immediately vested?! ) and an opportunity to participate in Radian's Employee Stock Purchase Plan (ESPP). Homebuyer Perks. Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. Additional Benefits. To learn more about our benefits offerings, visit our Benefits Page. #LI-NA1 The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Radian will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. See More About Radian Radian is a fintech servicing the mortgage and real estate services industry. As a team, we pride ourselves on seeing the potential of every person, every idea and every day. Seeing each other at Radian goes far beyond our open, flexible culture. It means seeing our people's potential - and creating inspiring career paths that help them get there. Or seeing new pathways and innovating for the future of our industry. It means seeing each other for all that we are. And it means seeing our purpose as one that extends beyond the bottom line - having an impact on communities across the country to help more people achieve the American Dream of homeownership. We hope you'll see yourself at Radian. See more about us at Radian.com. Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant's criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the “Primary Duties and Responsibilities” section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "Know Your Rights: Workplace Discrimination is Illegal" poster [Link]. View “Employee Rights under FMLA” [Link]. View “Employee Rights under EPPA" [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. See Yourself as a Data Scientist I The Data Scientist I, primary functions will be data modeling and analysis, analytical framework development and the estimation and validation of credit models. This role requires the use of financial, statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Primary Duties and Responsibilities Programming in support of model estimation, implementation, monitoring, and back testing Development and maintenance of cloud-based modeling frameworks. Analysis of standard reporting and model performance. Delinquency, default, prepayment, claim severity model estimation and design. Model development and methodology research Creation of analytical presentations and communication of strategic business findings to management Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. Perform other duties as assigned or apparent. Qualifications Understanding of probability modeling. Expert mathematical, statistical, and econometric understanding. Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment. Knowledge of SAS, R, C++ or python for data analysis and modeling. Ability to learn financial analysis of structured mortgage products. Strong work ethic and independent problem-solving capabilities. High level of motivation and intellectual curiosity. Able to work in a team environment. Ability to research and define new analytical methods. Ability to communicate effectively and present results. Education, Certifications and Prior Work-Related Experience: Degree Requirement: Bachelor's degree or foreign equivalent and 1 year of experience, or Master's degree or foreign equivalent and no work experience Certifications: Finance, Economics, Mathematics and/or Statistics Work Experience: 1 or more years of prior work-related experience without a master's degree, with a master's degree no prior work experience is required. See Why You Should Work With Us Competitive Compensation: anticipated base salary from $80,000 to $114,000 based on skills and experience. This position is eligible to participate in an annual incentive program. Rest and Relaxation. This role is eligible for 20 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays + 2 floating holidays. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. Our Company Makes an Impact. We've been recognized by multiple organizations like Bloomberg's Gender-Equality Index, HousingWire's Tech 100, and The Forum of Executive Women's Champion of Board Diversity. Radian has also pledged to SHRM's CEO Action for Inclusion & Diversity commitment. Comprehensive Health Benefits. Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. Prepare for your Future. 401(k) with a top of market company match ( did we mention the company match is immediately vested?! ) and an opportunity to participate in Radian's Employee Stock Purchase Plan (ESPP). Homebuyer Perks. Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. Additional Benefits. To learn more about our benefits offerings, visit our Benefits Page. #LI-DNI The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Radian will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. See More About Radian Radian is a fintech servicing the mortgage and real estate services industry. As a team, we pride ourselves on seeing the potential of every person, every idea and every day. Seeing each other at Radian goes far beyond our open, flexible culture. It means seeing our people's potential - and creating inspiring career paths that help them get there. Or seeing new pathways and innovating for the future of our industry. It means seeing each other for all that we are. And it means seeing our purpose as one that extends beyond the bottom line - having an impact on communities across the country to help more people achieve the American Dream of homeownership. We hope you'll see yourself at Radian. See more about us at Radian.com. Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant's criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the “Primary Duties and Responsibilities” section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "Know Your Rights: Workplace Discrimination is Illegal" poster [Link]. View “Employee Rights under FMLA” [Link]. View “Employee Rights under EPPA" [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

See yourself at Radian? We see you here too. At Radian, we see you. For the person you are and the potential you hold. That's why we've embraced a new way of working that lets our people across the country be themselves, be their best and be their boldest. Because when each of us is truly seen, each of us gives our best - and at Radian, we'll give you our best right back. Studies have shown that job seekers may hesitate to apply for jobs unless they meet every single qualification listed. We strive to see the potential in each applicant, so if you're excited about this role but your experience or education level doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. See Yourself as a Data Scientist I The Data Scientist I, primary functions will be data modeling and analysis, analytical framework development and the estimation and validation of credit models. This role requires the use of financial, statistical and econometric methods within a structural modeling framework while leveraging cloud computing solutions. Primary Duties and Responsibilities * Programming in support of model estimation, implementation, monitoring, and back testing * Development and maintenance of cloud-based modeling frameworks. Analysis of standard reporting and model performance. Delinquency, default, prepayment, claim severity model estimation and design. Model development and methodology research * Creation of analytical presentations and communication of strategic business findings to management * Analysis and recommendations on alternative credit structures, risk sharing arrangements, and/or non-traditional manners in which to participate and take on credit risk as appropriate and necessary. * Data manipulation of large files (R, Python, or SAS datasets) to identify trends and make recommendations and/or adjustments to credit/portfolio guidelines as necessary. * Perform other duties as assigned or apparent. Qualifications * Understanding of probability modeling. * Expert mathematical, statistical, and econometric understanding. * Strong analytical background, along with the ability and willingness to effectively make recommendations on transactions based on sound business judgment. * Knowledge of SAS, R, C++ or python for data analysis and modeling. * Ability to learn financial analysis of structured mortgage products. * Strong work ethic and independent problem-solving capabilities. * High level of motivation and intellectual curiosity. * Able to work in a team environment. * Ability to research and define new analytical methods. * Ability to communicate effectively and present results. Education, Certifications and Prior Work-Related Experience: * Degree Requirement: Bachelor's degree or foreign equivalent and 1 year of experience, or Master's degree or foreign equivalent and no work experience * Certifications: Finance, Economics, Mathematics and/or Statistics * Work Experience: 1 or more years of prior work-related experience without a master's degree, with a master's degree no prior work experience is required. See Why You Should Work With Us * Competitive Compensation: anticipated base salary from $80,000 to $114,000 based on skills and experience. This position is eligible to participate in an annual incentive program. * Rest and Relaxation. This role is eligible for 20 days of paid time off annually, which is prorated in the year of hire based on hire date. In addition, based on your hire date, you will be eligible for 9 paid holidays + 2 floating holidays. Parental leave is also offered as an opportunity for all new parents to embrace this exciting change in their lives. * Our Company Makes an Impact. We've been recognized by multiple organizations like Bloomberg's Gender-Equality Index, HousingWire's Tech 100, and The Forum of Executive Women's Champion of Board Diversity. Radian has also pledged to SHRM's CEO Action for Inclusion & Diversity commitment. * Comprehensive Health Benefits. Multiple medical plan choices, including HSA and FSA options, dental, vision, and basic life insurance. * Prepare for your Future. 401(k) with a top of market company match (did we mention the company match is immediately vested?!) and an opportunity to participate in Radian's Employee Stock Purchase Plan (ESPP). * Homebuyer Perks. Our Homebuyer Perks program helps employees navigate the home searching, buying, selling, and refinancing processes and provides valuable financial benefits to encourage, enable, and support home ownership. * Additional Benefits. To learn more about our benefits offerings, visit our Benefits Page. #LI-DNI The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Radian will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law. See More About Radian Radian is a fintech servicing the mortgage and real estate services industry. As a team, we pride ourselves on seeing the potential of every person, every idea and every day. Seeing each other at Radian goes far beyond our open, flexible culture. It means seeing our people's potential - and creating inspiring career paths that help them get there. Or seeing new pathways and innovating for the future of our industry. It means seeing each other for all that we are. And it means seeing our purpose as one that extends beyond the bottom line - having an impact on communities across the country to help more people achieve the American Dream of homeownership. We hope you'll see yourself at Radian. See more about us at Radian.com. Defining Roles for Radian's Future Understanding the qualities and characteristics that define a Leader and an Employee is important to building our future-fit workforce. Radian's future is only as bright as its people. For that reason, our People Plan includes profiles to support the qualities and characteristics that each Leader as well as each Employee should embody upon hire or via development. EEO Statement Radian complies with all applicable federal, state, and local laws prohibiting discrimination in employment. All qualified applicants will receive consideration for employment without regard to gender, age, race, color, religious creed, marital status, gender identity, sexual orientation, national origin, ethnicity, ancestry, citizenship, genetic information, disability, protected veteran status or any other characteristic protected by applicable federal, state, or local law. An applicant's criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. The material duties include those listed in the "Primary Duties and Responsibilities" section above, as well as the ability to adhere to Company policies, exercise sound judgment, effectively manage stressful situations, work safely and respectfully with others, exhibit trustworthiness, and safeguard confidential information belonging to the Company and its customers. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Equal Opportunity Employer Details To learn more about Radian's Code of Conduct and Ethics and workplace conduct, please click [here]. Radian participates in E-Verify [Link] (en español [Link]). Learn more about your rights under immigration laws [Link] (en español [Link]). View the "Know Your Rights: Workplace Discrimination is Illegal" poster [Link]. View "Employee Rights under FMLA" [Link]. View "Employee Rights under EPPA" [Link]. Accommodation Whether you require an accommodation for the job application or interview process, Radian is dedicated to a barrier-free employment process and encourages a diverse workforce. If you have questions about the accommodation process, please e-mail ******************. Please note that you may redact or remove age-related information that identifies your age, date of birth, or dates of attendance at or graduation from an educational institution on any additional application materials you submit as part of the application. Additional application materials include but are not limited to, resumes, CVs, transcripts, or certifications.

Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Lead Data Scientist, Claims will drive modeling and analytics for the core of our technology - our claims payment system. In this role, you will: Partner with operations and technology leaders in the design and implementation of initiatives to improve claims system performance Use sophisticated measurement and data mining techniques to drive deep and rapid insights Use data to achieve our goal of being the most automated and efficient insurer in the industry You will report into the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses. Responsibilities: Translates business goals into plans and tactics for the team Works with more senior leaders to establish longer term strategies and roadmaps Participates in team-wide technical and operations management responsibilities Interacts and collaborates closely with data and business management across functional areas Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Requirements: 6+ years of industry or other quantitative technical fields (which may include academia) 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description Hi, we're Oscar. We're hiring a Lead Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Lead Data Scientist, Claims will drive modeling and analytics for the core of our technology - our claims payment system. In this role, you will: Partner with operations and technology leaders in the design and implementation of initiatives to improve claims system performance Use sophisticated measurement and data mining techniques to drive deep and rapid insights Use data to achieve our goal of being the most automated and efficient insurer in the industry You will report into the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $174,400 - $228,900 per year. You are also eligible for employee benefits, company equity grants, and annual performance bonuses. Responsibilities: Translates business goals into plans and tactics for the team Works with more senior leaders to establish longer term strategies and roadmaps Participates in team-wide technical and operations management responsibilities Interacts and collaborates closely with data and business management across functional areas Leads the research, development, and maintenance of data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Requirements: 6+ years of industry or other quantitative technical fields (which may include academia) 4+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 4+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health insurance. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II, you will partner closely with our Market P&L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members. You will report into the Senior Data Scientist. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager. Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices. Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses. Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes. Ensures processes and policies are aligned with departmental strategies and roadmaps May mentor junior data scientists and/or analysts Compliance with all applicable laws and regulations Other duties as assigned Requirements: 3+ years of industry or other quantitative technical fields (which may include academia). 2+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 2+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Masters degree in a quantitative or technical field Knowledge of or previous work experience in health care or health insurance This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: Oscar's data team is focused on pushing our understanding of this complex landscape of health insurance. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. As a Data Scientist II, you will partner closely with our Market P&L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members. You will report into the Senior Data Scientist. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: * Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager. * Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices. * Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses. * Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes. * Ensures processes and policies are aligned with departmental strategies and roadmaps * May mentor junior data scientists and/or analysts * Compliance with all applicable laws and regulations * Other duties as assigned Requirements: * 3+ years of industry or other quantitative technical fields (which may include academia). * 2+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data * 2+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: * Masters degree in a quantitative or technical field * Knowledge of or previous work experience in health care or health insurance This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Data Scientist to join our Data team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: As a Data Scientist I, you will partner closely with our Market P&L, Tech and Legal teams to develop models and tooling to better understand Oscar's medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members. You will report into the Senior Data Scientist. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $119,200- $156,450 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: * Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager. * Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices. * Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses. * Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes. * Compliance with all applicable laws and regulations * Other duties as assigned Requirements: * A bachelor's degree in a technical field OR 1+ years of relevant work experience * 1+ years experience working with SQL or intermediate Python [For example, working with multiple data sources] * 1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis Bonus points: * Master's degree in a technical field * Knowledge of or previous work experience in health care or health insurance This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Engineering team. Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role Oscar is in a unique position to drive impact through high engagement with members and a variety of high-tech touchpoints (such as virtual care or superagent).The Senior Data Scientist develops personalized multi-channel marketing campaigns to influence behaviors that Oscar members take that are key to their health. You will ideate, scope business cases, design targeted pipelines by using predictive models, launch campaigns, monitor and optimize campaigns in real time to attribute best performing marketing variants, and measure campaigns. This will involve research, pipeline/ML model development, optimization techniques such (e.g. MAB), and measurement techniques (traditional statistical and casual machine learning). You work cross functionally with marketing and clinical teams, dedicated to a specific goal of lowering medical cost. You will have accountability for the success of each campaign. You will report to the Senior Director, Data Science. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158.400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities Works with team and manager to impact longer term strategies and roadmap Sets shorter term roadmap for team Interacts and collaborates closely with data and business counterparts across functional areas Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses Compliance with all applicable laws and regulations Other duties as assigned Qualifications 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries Travel Up to 5% This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: 4+ years of industry or other quantitative technical fields (which may include academia). 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: Advanced degree in a quantitative or technical field Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our New York office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: * Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors. * Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain. * Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models. * Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems. * Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment. * Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems. * Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units. * Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows. Requirements: * 4+ years of industry or other quantitative technical fields (which may include academia). * 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data * 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing Bonus points: * Advanced degree in a quantitative or technical field * Experience in the healthcare, finance and/or insurance industries This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities * Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues * Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities * Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications * 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) * 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) * Experience designing, analysis, and refining experiments * Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics * Intellectual curiosity and drive, decisiveness, ambiguity and complexity * Bachelor's degree required Preferred Qualifications * Insurance industry experience * Master's degree, or Advanced technical degree * Experience with predictive modeling, machine learning, and experimentation/causal inference methods * Experience of data modeling and data pipeline design Annual Salary $110,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. * Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. * Access to additional benefits like mental healthcare as well as fertility and adoption assistance. * Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a Senior Product Data Scientist that provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for Engineering and Product Management. Job Responsibilities * Utilize technical expertise (e.g., SQL, R, Python) with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies. Take ownership of open-ended ambiguous business problems to reach an optimal solution * Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations * Build new processes, procedures, methods, tests, and components with foresight to anticipate and address future issues * Identify, measure and report success of product efforts through Key Performance Indicators (KPIs) to support business reviews with the cross-functional/organizational leadership team. Translate analysis results to business insights, forecasting, and monitoring to understand trends and product improvement opportunities * Build and prototype analysis and business cases iteratively to provide insights at scale. Develop comprehensive knowledge of GEICO data structures and metrics, advocating for changes where needed for product development * Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Basic Qualifications * 8+ years experience with writing complex SQL queries and scripting language (e.g., Python, Java, or R) * 5+ Years Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) * Experience designing, analysis, and refining experiments * Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, Product management, Program Management, and Analytics * Intellectual curiosity and drive, decisiveness, ambiguity and complexity * Bachelor's degree required Preferred Qualifications * Insurance industry experience * Master's degree, or Advanced technical degree * Experience with predictive modeling, machine learning, and experimentation/causal inference methods * Experience of data modeling and data pipeline design Annual Salary $110,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. * Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. * Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. * Access to additional benefits like mental healthcare as well as fertility and adoption assistance. * Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences. ESSENTIAL FUNCTIONS: * Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods. * Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA). * Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness * Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases. * Trains other business and IT staff on basic data science principles and techniques. * Networks with internal and external partners. * Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice). QUALIFICATIONS: * Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. * Five years of experience as a Data Scientist in a reputed organization. JOB FAMILY: Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $184,100 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Argo Group International Holdings, Inc. and American National, US based specialty P&C companies, (together known as BP&C, Inc.) are wholly owned subsidiaries of Brookfield Wealth Solutions, Ltd. ("BWS"), a New York and Toronto-listed public company. BWS is a leading wealth solutions provider, focused on securing the financial futures of individuals and institutions through a range of wealth protection and retirement services, and tailored capital solutions. Job Description PURPOSE OF THE JOB: The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences. ESSENTIAL FUNCTIONS: * Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success. * Helps to define and communicate governance principles. * Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods. * Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA). * Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness * Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases. * Trains other business and IT staff on basic data science principles and techniques. * Networks with internal and external partners. * Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice). QUALIFICATIONS: * Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. * Five years of experience as a Data Scientist in a reputed organization. JOB FAMILY: Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $184,100 PLEASE NOTE: Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas. If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at ************. Notice to Recruitment Agencies: Resumes submitted for this or any other position without prior authorization from Human Resources will be considered unsolicited. BWS and / or its affiliates will not be responsible for any fees associated with unsolicited submissions. We are an Equal Opportunity Employer. We do not discriminate on the basis of age, ancestry, color, gender, gender expression, gender identity, genetic information, marital status, national origin or citizenship (including language use restrictions), denial of family and medical care leave, disability (mental and physical) , including HIV and AIDS, medical condition (including cancer and genetic characteristics), race, religious creed (including religious dress and grooming practices), sex (including pregnancy, child birth, breastfeeding, and medical conditions related to pregnancy, child birth or breastfeeding), sexual orientation, military or veteran status, or other status protected by laws or regulations in the locations where we operate. We do not tolerate discrimination or harassment based on any of these characteristics. The collection of your personal information is subject to our HR Privacy Notice Benefits and Compensation We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

Title: Senior Data Scientist Reporting to: Director, GTM About Hippo: Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We'll also help you find coverage for everything life brings-from auto to flood-reimagining how you care for your home. About the Role: Build it. Shape it. Scale it. We're looking for a Senior Data Scientist to help us build modern analytics and AI capabilities from the ground up. Our data function is early, which means this role will focus on creating foundations, executing on new analytics opportunities and growing sophistication over time. You'll work across our agency, homeowners, and fronting carrier businesses, partnering closely with actuaries, underwriters, and business leaders to turn data into insight, action, and smarter decisions. Why This Role: Greenfield opportunity with real ownership Direct impact on growth, efficiency, and decision-making Close partnership with the business - your work will get used Help shape an AI-native analytics foundation, not bolt one on later What You'll Do: Build data products that support everything from core reporting to advanced analytics and AI Deliver practical BI and analytics today while helping us move toward predictive models and AI-driven insights Collaborate with actuaries, underwriters, and product leaders to identify high-impact opportunities Develop and deploy statistical models, ML, and emerging AI use cases Help define lightweight standards and best practices as we grow Be hands-on - this is a builder role, not a research lab Must Haves: Minimum of 6-8 years of experience in data science, advanced analytics, or applied statistics , with a Bachelor's degree in a quantitative field (statistics, mathematics, computer science, engineering) Comfortable working across the spectrum: SQL + dashboards → models + AI Proficiency in Python, SQL, Tableau, Skoda, and modern analytics tools Thrives in early-stage or low-maturity data environments Curious, pragmatic, and business-oriented Nice to Have: Insurance experience is a plus, but strong problem-solving matters more Benefits and Perks: Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we're fortunate to provide all of our Hippos with: Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) Equity - This position is eligible for equity compensation Training and Career Growth - Training and internal career growth opportunities Flexible Time Off - You know when and how you should recharge Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo's applicants are considered solely based on their qualifications, without regard to an applicant's disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo's People Team to make the need for an accommodation known. Hippo CCPA

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions. We can recommend jobs specifically for you! Click here to get started.

At ServiceLink, we believe in pushing the limits of what's possible through innovation. We're looking for a high-achieving AI enthusiast to lead ground-breaking initiatives that redefine our industry. As our Principal Data Scientist, you'll harness cutting-edge technologies-from advanced machine learning and deep learning to generative AI, Large Language Models, and Agentic AI-to create production-ready systems that solve real-world challenges. This is your opportunity to shape strategy, mentor top talent, and turn ambitious ideas into transformative solutions in an environment that champions bold thinking and continuous innovation. Applicants must be currently authorized to work in the United States on a full-time basis and must not require sponsorship for employment visa status now or in the future. A DAY IN THE LIFE In this role, you will… Transform complex business challenges into innovative AI solutions that leverage deep learning, LLMs, and autonomous Agentic AI frameworks. Lead projects end-to-end-from ideation and data gathering to model design, fine-tuning, deployment, and continuous improvement using full MLOps practices. Collaborate closely with business stakeholders, Data Engineering, Product, and Infrastructure teams to ensure our AI solutions are powerful, secure, and scalable. Drive both research and production by designing experiments, publishing state-of-the-art work in high-impact journals, and protecting strategic intellectual property. Mentor and inspire our next generation of data scientists, sharing insights on emerging trends and best practices in AI. WHO YOU ARE You possess … A visionary leader with an advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related field, backed by 10+ years of progressive experience in AI and data science. A technical powerhouse with a solid track record in statistical analysis, machine learning, deep learning, and building production-grade models using transformer architectures and Agentic AI systems. Proficient in Python-and comfortable with other modern programming environments-armed with real-world experience in cloud platforms (preferably Microsoft Azure) and end-to-end AI development (CRISP-DM and ML-Ops). An exceptional communicator who can distill complex technical ideas into strategic insights for diverse audiences, from the boardroom to the lab. A proactive problem solver and collaborative team player who thrives in a fast-paced, interdisciplinary setting, ready to balance innovative risk with practical execution. Responsibilities Strategize with leadership and stakeholders to align AI innovations with business objectives-identifying risks, seizing opportunities, and driving measurable outcomes. Architect and lead the development of next-generation AI solutions, with a special focus on Agentic AI, deep learning models, and transformer-based LLMs. Build automated MLOps pipelines to ensure continuous integration, deployment, and monitoring of models across diverse data environments. Act as both a thought leader and an active contributor-publishing in high-impact journals, representing ServiceLink at industry events, and safeguarding our IP. Collaborate cross-functionally to ensure our AI systems are secure, scalable, and cost-effective, continuously refining them based on rigorous performance metrics Mentor and empower your peers, fostering a culture of innovation, resilience, and learning. All other duties as assigned. Qualifications Advanced degree (Master's or Ph.D.) in Computer Science, Engineering, or a related quantitative discipline, backed by 10+ years of relevant industry experience. Demonstrated expertise in Python and practical experience deploying advanced ML/AI solutions-including deep learning, LLMs, and Agentic AI-in production environments. Proficiency with modern cloud platforms (preferably Microsoft Azure) and a proven record of operationalizing AI via MLOps best practices. Strong ability to balance innovation with practicality, evaluating technical capabilities versus business and cost considerations. Excellent communicator with a knack for translating intricate technical strategies into clear, actionable plans. A collaborative mindset with a history of mentoring teams and building high-impact technology solutions.