What Jobs are available for Data Scientists in Albuquerque?

**Job Description**
**Job Summary**
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
**Job Duties**
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
- **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development** : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning** : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- **Technical Proficiency:** Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- **Statistical Analysis:** Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- **Experience with Agentic Workflows:** Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- **RAG Techniques:** Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- **Model Fine-Tuning Expertise:** Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- **Data Visualization:** Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- **Database Management:** Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- **Problem-Solving Skills:** Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Indeed is the world's largest marketplace for jobs, and we have a unique dataset of jobs, resumes, applications, and outcomes. The Data Scientist I role partners closely with business partners across various functions to help execute strategic initiatives that increase revenue, drive operational scale, and improve efficiency for continuous growth. As a Data Scientist, you will prepare datasets, train and optimize models, and maintain and improve model inference services. You will learn and apply new techniques from open source packages and research publications, and creatively adapt models for solving business problems across Indeed. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Mathematics, Statistics, Computer Science, or a related field + 3+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while collaborating across teams and using LLMs + A deep understanding of machine learning, statistical modeling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization **Salary Range Transparency** US Remote 122,000 - 178,000 USD per year Austin, Metro Area 122,000 - 178,000 USD per year New York City, Metro Area 146,000 - 212,000 USD per year Seattle, Metro Area 134,000 - 194,000 USD per year San Francisco, Metro Area 155,000 - 225,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **Equal Opportunities and Accommodations Statement** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds. Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** <46201> Reference ID: 46201

**Our Mission**
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing.
+ Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams.
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 7+ years of experience in data science, analytics, Machine Learning or a related field
+ Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams
+ A deep understanding of machine learning, statistical modelling, and predictive analytics.
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth
+ Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization
+ Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.)
**Salary Range Transparency**
US Remote 154,000 - 224,000 USD per year
Austin Metro Area 154,000 - 224,000 USD per year
NYC Metro Area 171,000 - 247,000 USD per year
Seattle Metro Area 164,000 - 239,000 USD per year
San Francisco Bay Area 180,000 - 260,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
**Indeed's Employee Recruiting Privacy Policy**
Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at .
**Agency Disclaimer**
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.
**Reference ID:** **46205**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Reference ID: 46205

In support of the Joint Navigation Warfare Center (JNWC) contract, you will be part of our team’s efforts to empower the Department of Defense’s navigation warfare (NAVWAR) mission to ensure positioning, navigation, and navigation timing superiority. Our mission is to provide combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR Order of Battle and PNT-related successes and threats.

More about this specific role

As a Data Science Analyst in the Joint Navigation Warfare Center (JNWC) you will help empower the Department of Defense’s navigation warfare (NAVWAR) mission ensuring positioning, navigation and timing superiority. You will serve a s a member of a team providing combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR order of battle and PNT-related successes and threats.  You will support the Government with the integration, at the theater strategic level, of C4, cyber, and cyberspace operations into JNWC's strategic and operational objectives.  

Responsibilities

• You will utilize classified and unclassified analytical tools and expert analysis to support regional and global threat assessments to facilitate understanding of the threat picture.
• Oversee and support delivering multi‐layered, multi-intelligence research products focused on existing, evolving, and emerging improvised threats.
• Provide detailed threat analysis and assessments against various national and global threats to identify risks, gaps, and vulnerabilities and recommend countermeasures.
• Utilize tools and tradecraft to provide timely, relevant, and understandable analysis and intelligence material to inform decision‐makers and influence outcomes.
• Assist supported unit intelligence personnel in carrying out assigned tasks.
• Work closely with other Analysts, Planners, and Integrators in developing a range of operations and intelligence products and material and training solutions.
• Provide consistent real‐time updates of current analyses and assessments to existing Intel databases.
• Ensures coordination with higher headquarters, Intelligence Community, Allies, and Partner Nations.
• The position may require CONUS/OCONUS travel and shiftwork supporting operations, exercises, and conferences
• Due to the nature of the position, if selected, you will be subject to a government security investigation and must meet eligibility requirements for access to classified information

Qualifications

• You must be a US citizen
• You must be able to obtain an i nterim Secret clearance to start with a pathway to achieving TS+SCI.
• 5 Years of relevant experience
• Experience conducting multi‐discipline intelligence analysis
• Experience conducting Analysis in a deployed PNT environment
• Experience providing Analytical support to operations
• BA/BS in business, math, statistics, data science, computer science, engineering, or other related field

These Qualifications Would be Nice to Have

• MA/MS in a related field
• Graduate of a military Intermediate Level Education (ILE) course (e.g. Army Command and General Staff College or another service equivalent)
• Graduate of a Joint Professional Military Education (JPME) course (e.g. Naval Command and Staff or another service equivalent)
• Graduate of the School of Advanced Military Studies (SAMS) or a Joint War College

Salary Max : 103K 

BlueHalo, an AV company pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. 

Our compensation package also includes components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These benefits include health insurance, life insurance, disability, company holiday and paid time off, parental leave, 401(k) company match and contributions, professional development/training reimbursements, and other work/life programs.

Education Required

• Bachelors or better

Licenses & Certifications Required

• Top Secret SCI

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

In support of the Joint Navigation Warfare Center (JNWC) contract, you will be part of our teams efforts to empower the Department of Defenses navigation warfare (NAVWAR) mission to ensure positioning, navigation, and navigation timing superiority. Our mission is to provide combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR Order of Battle and PNT-related successes and threats.

More about this specific role

As a Data Science Analyst in the Joint Navigation Warfare Center (JNWC) you will help empower the Department of Defenses navigation warfare (NAVWAR) mission ensuring positioning, navigation and timing superiority. You will serve a s a member of a team providing combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR order of battle and PNT-related successes and threats. You will support the Government with the integration, at the theater strategic level, of C4, cyber, and cyberspace operations into JNWC's strategic and operational objectives.

Responsibilities

• You will utilize classified and unclassified analytical tools and expert analysis to support regional and global threat assessments to facilitate understanding of the threat picture.
• Oversee and support delivering multilayered, multi-intelligence research products focused on existing, evolving, and emerging improvised threats.
• Provide detailed threat analysis and assessments against various national and global threats to identify risks, gaps, and vulnerabilities and recommend countermeasures.
• Utilize tools and tradecraft to provide timely, relevant, and understandable analysis and intelligence material to inform decisionmakers and influence outcomes.
• Assist supported unit intelligence personnel in carrying out assigned tasks.
• Work closely with other Analysts, Planners, and Integrators in developing a range of operations and intelligence products and material and training solutions.
• Provide consistent realtime updates of current analyses and assessments to existing Intel databases.
• Ensures coordination with higher headquarters, Intelligence Community, Allies, and Partner Nations.
• The position may require CONUS/OCONUS travel and shiftwork supporting operations, exercises, and conferences
• Due to the nature of the position, if selected, you will be subject to a government security investigation and must meet eligibility requirements for access to classified information

Qualifications

• You must be a US citizen
• You must be able to obtain an i nterim Secret clearance to start with a pathway to achieving TS+SCI.
• 5 Years of relevant experience
• Experience conducting multidiscipline intelligence analysis
• Experience conducting Analysis in a deployed PNT environment
• Experience providing Analytical support to operations
• BA/BS in business, math, statistics, data science, computer science, engineering, or other related field

These Qualifications Would be Nice to Have

• MA/MS in a related field
• Graduate of a military Intermediate Level Education (ILE) course (e.g. Army Command and General Staff College or another service equivalent)
• Graduate of a Joint Professional Military Education (JPME) course (e.g. Naval Command and Staff or another service equivalent)
• Graduate of the School of Advanced Military Studies (SAMS) or a Joint War College

Salary Max : 103K

BlueHalo, an AV company pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

Our compensation package also includes components designed to support employees total well-being, which should be considered when evaluating our competitive benefits package. These benefits include health insurance, life insurance, disability, company holiday and paid time off, parental leave, 401(k) company match and contributions, professional development/training reimbursements, and other work/life programs.

Education Required

• Bachelors or better

Licenses & Certifications Required

• Top Secret SCI

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

**Job Description**
**Job Summary**
Responsible for overseeing data science projects, managing and mentoring a team, and aligning data initiatives with business goals. Lead the development and implementation of data models, collaborate with cross-functional teams, and stay updated on industry trends. Ensure ethical data use and communicate complex technical concepts to non-technical stakeholders. Lead initiatives on model governance and model ops to align with regulatory and security requirements. This role requires technical expertise, strategic thinking, and leadership to drive data-driven decision-making within the organization and be the pioneer on generative AI healthcare solutions, aimed at revolutionizing healthcare operations as well as enhancing member experience.
**Job Duties**
- **Research and Development:** Stay current with the latest advancements in AI and machine learning and apply these insights to improve existing models and develop new methodologies.
- **AI Model Deployment, Monitoring & Model Governance:** Deploy AI models into production environments, monitor their performance, and adjust as necessary to maintain accuracy and effectiveness and meet all governance and regulatory requirements.
- **Innovation Projects:** Lead pilot projects to test and implement new AI technologies within the organization
- **Data Analysis and Interpretation:** Extract meaningful insights from complex datasets, identify patterns, and interpret data to inform strategic decision-making.
- **Machine Learning Model Development** : Design, develop, and train machine learning models using a variety of algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- **Agentic Workflows Implementation:** Develop and implement agentic workflows that utilize AI agents for autonomous task execution, enhancing operational efficiency and decision-making capabilities.
- **RAG Pattern Utilization:** Employ retrieval-augmented generation patterns to improve the performance of language models, ensuring they can access and utilize external knowledge effectively to enhance their outputs.
- **Model Fine-Tuning** : Fine-tune pre-trained models to adapt them to specific tasks or datasets, ensuring optimal performance and relevance in various applications.
- **Data Cleaning and Preprocessing:** Prepare data for analysis by performing data cleaning, handling missing values, and removing outliers to ensure high-quality inputs for modeling.
- **Collaboration:** Work closely with cross-functional teams, including software engineers, product managers, and business analysts, to integrate AI solutions into existing systems and processes.
- **Documentation and Reporting:** Create comprehensive documentation of models, methodologies, and results; communicate findings clearly to non-technical stakeholders.
- Mentors, coaches, and provides guidance to newer data scientists.
- Partner closely with business and other technology teams to build ML models which helps in improving Star ratings, reduce care gap and other business objectives.
- Present complex analytical information to all level of audiences in a clear and concise manner Collaborate with analytics team, assigning and managing delivery of analytical projects as appropriate
- Perform other duties as business requirements change, looking out for data solutions and technology enabled solution opportunities and make referrals to the appropriate team members in building out payment integrity solutions.
- Use a broad range of tools and techniques to extract insights from current industry or sector trends
**Job Qualifications**
**REQUIRED EDUCATION:**
Master's Degree in Computer Science, Data Science, Statistics, or a related field
**REQUIRED EXPERIENCE/KNOWLEDGE, SKILLS & ABILITIES:**
- 10+ years' work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
- Knowledge of big data technologies (e.g., Hadoop, Spark)
- Familiar with relational database concepts, and SDLC concepts
- Demonstrate critical thinking and the ability to bring order to unstructured problems
- **Technical Proficiency:** Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
- **Statistical Analysis:** Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
- **Experience with Agentic Workflows:** Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
- **RAG Techniques:** Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
- **Model Fine-Tuning Expertise:** Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
- **Data Visualization:** Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
- **Database Management:** Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
- **Problem-Solving Skills:** Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
**PREFERRED EDUCATION:**
PHD or additional experience
**PREFERRED EXPERIENCE:**
- Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
- Familiarity with natural language processing (NLP) and computer vision techniques.
#PJCorp2
#LI-AC1
To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.
Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.
Pay Range: $117,731 - $275,491 / ANNUAL
*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

Description & Requirements

We now have an exciting opportunity for a Senior Data Scientist to join the Maximus AI Accelerator supporting the enterprise at large. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team.

You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes.

This position will be focused on strategic company-wide initiatives but will play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.)

This is a remote position.

Essential Duties and Responsibilities:
- Develop, collaborate, and advance the applied and responsible use of AI, ML, mathematics, and data science solutions throughout the organization by finding the right fit of tools, technologies, methodologies, processes, and automation to enable effective and efficient solutions for each unique situation.
- Contribute and lead efforts across the organization to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, Large Language Models (LLMs) and classical machine learning.
- Develop mathematically rigorous process improvement procedures.
- Maintain advanced, current knowledge of the AI technology landscape and emerging developments, evaluating their applicability for use in production/operational environments.
- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

Job-Specific Essential Duties and Responsibilities:

- Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation.

- Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital.

- Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning.

- Contribute to the development of mathematically rigorous process improvement procedures.

- Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments

Minimum Requirements

- Bachelor's degree in relevant field of study and 5+ years of relevant professional experience required, or equivalent combination of education and experience.

Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable):

- Professional Programming experience (e.g. Python, R, etc.)

- Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML.

- Experience with API programming

- Experience with Linux

- Experience with Statistics

- Experience with Machine Learning

- Experience working as a contributor on a team

Minimum Education requirement:

- BS in a quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.)

Years of Required Work-Related Experience:

- 5+ yrs experience in Artificial Intelligence and Machine Learning

- 5+ yrs experience in Software Development

Required Certifications:

- None

Preferred Skills and Qualifications:

- Masters in quantitative discipline

- Experience developing machine learning or signal processing algorithms:

- Ability to leverage mathematical principles to model new and novel behaviors.

- Ability to leverage statistics to identify true signals from noise or clutter

- Experience working as an individual contributor in AI

- Use of state-of-the-art technology to solve operational problems in AI and Machine Learning.

- Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles

- Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions.

- Ability to build reference implementations of operational AI & Advanced Analytics processing solutions.

- Use of a variety of programming languages, including but not limited to Python/Java and frontend frameworks for POC demos and dashboarding

- Use and development of program automation, CI/CD, DevSecOps, and Agile

- Experience with deep learning model architecture development and philosophy
- Cloud certifications (AWS, Azure, or GCP)
- 5+ yrs of related experience in AI, advanced analytics, computer science, or software development.
- Python Experience with TensorFlow, PyTorch, and Pandas

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at .

Minimum Salary

$

150,000.00

Maximum Salary

$

180,000.00

Description & Requirements

Maximus is currently hiring a Senior Data Scientist to join our Veterans Evaluation Services (VES) team. This is a remote opportunity. The position is responsible for leading advanced analytics and data-driven decision-making initiatives across the organization. In this role, you will leverage your expertise in statistical modeling, machine learning, and data engineering to solve complex business problems and drive strategic outcomes. You will collaborate with cross-functional teams and influence key stakeholders through actionable insights and predictive modeling. This role focuses on advanced dashboard design (Qlik), data science projects, and data analysis projects. The key programming languages are SQL and Python. The role reports to the Director of Data and Analytics.

Due to contract requirements, only a US Citizen or a Green Card holder can be considered for this opportunity.

Essential Duties and Responsibilities:

- Perform hands-on data analysis and modeling with huge data sets.

- Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.

- Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products.

- Discover data sources, get access to them, import them, clean them up, and make them "model-ready."

- Create and refine features from the underlying data.

- Run regular A/B tests, gather data, perform statistical analysis, draw conclusions on the impact of your optimizations and communicate results to peers and leaders.

- Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver.

- This role focuses on advanced dashboard design (Qlik), data science projects, and data analysis projects. The key programming languages are SQL and Python. The role reports to the Director of Data and Analytics.

- Advanced, succinct dashboard design and storytelling experience is required

- Machine learning experience in text and trend modeling is required

- 3+ years of advanced SQL development experience is required

- Ad hoc data analysis and data presentation experience is required

- Experience in clear explanation (verbal and electronic) of complex topics and clarity in analytics presentation is required

Please note upon hire, Veteran Evaluation Services (VES), a Maximus Co. will provide all necessary computer equipment that is to be utilized to fulfil the duties of your role. New hires will not be exempt from using company provided equipment.

Home Office Requirements Using Maximus-Provided Equipment:

- Internet speed of 20mbps or higher required (you can test this by going to

- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router

- Private work area and adequate power source

- Must currently and permanently reside in the Continental US

Minimum Requirements

- B.S. or B.A. in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, or a related technical field required

- Advanced degree in Computer Science, Information Systems, Business Analytics, Mathematics, Statistics, Engineering, Business Administration or a related field preferred.

- 5+ years using major machine learning/deep learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow and Keras) and algorithms (e.g., CNN, GAN, LSTM, RNN, XGBOOST).

- 5+ years of data engineering experience with modern big data analytics architectures (Hadoop, SQL, HIVE, Spark, Snowflake, etc.) on major cloud platforms (e.g., AWS, Azure, Google Cloud).

- 5+ years programming skill in Python, Scala, Julia.

- Working knowledge with modern cloud-based data storage and compute environments (e.g., AWS Sagemaker, Databricks in Azure, AI-platform in GCP, etc.).

- Experience deploying ML models into discovery/production environment to drive insights using MLOps a plus.

- Experience working in an agile delivery model a plus.

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Ability to communicate complex ideas in a clear, precise, and actionable manner.

- Excellent communication and presentation skills, with the ability to articulate new ideas and concepts to technical and non-technical partners.

- PowerBI experience a plus.

- Snowflake and Snowpark experience using SQL and Python is preferred

- Qlik experience is preferred

- Master's degree in data science, machine learning, or related field is strongly preferred

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at .

Minimum Salary

$

120,000.00

Maximum Salary

$

155,000.00