41 Python jobs in Jacksonville

Company Overview:
Req ID:
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA's Client is currently seeking a Python Lead - Full stack Developer to join their team in Jacksonville, Florida (US-FL), United States (US).
Job Description:
JD - Python Lead - Full Stack Developer
Day to Day job Duties:
Designing, developing, and maintaining web applications using Python for the backend (e.g., Django, Flask) and front-end technologies (e.g., HTML, CSS, JavaScript, React, Vue.js, Angular).
Lead the development of complex features and modules, ensuring adherence to best practices and architectural standards.
Collaborate with cross-functional teams (product, design, QA, other engineering teams) to define requirements, design solutions, and deliver high-quality software.
Mentor junior developers, conduct code reviews, and contribute to the continuous improvement of development processes.
Optimize application performance, troubleshoot issues, and ensure system reliability and stability.
Contribute to architectural decisions and technology stack choices, staying updated with emerging technologies and industry trends.
Manage and maintain databases, integrate with third-party APIs, and ensure data integrity and security.
Skills required:
Overall 8+ years of experience
3+ Years experience in software development, data science, or AI/ML roles.
3+ Years experience in strong programming skills in Python and Java.
2+ Years experience with Angular, MongoDB, Microservices, etc.
Design and implement solutions using SQL and NoSQL databases.
Familiarity with Mainframe and UNIX technologies is a plus.
Strong communication skills and the ability to partner with both technical and non-technical stakeholders.
Integrate in-depth knowledge of applications development with overall technology functions to achieve established goals.
Influence and negotiate with senior leaders across functions, as well as communicate with external parties as necessary.
About NTT DATA:
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this role is Hourly rate $55.00hr TO $5.00hr. Actual compensation will depend on several factors, including the candidate's relevant experience, technical skills, and other qualifications.
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.
NTT DATA is a 30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over 3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Analyse and identify the linkages and interactions between the component parts of an entire system.
+ Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
+ Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
+ Develop skills outside your comfort zone, and encourage others to do the same.
+ Effectively mentor others.
+ Use the review of work as an opportunity to deepen the expertise of team members.
+ Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.
Responsibilities
- Lead the design and execution of data architecture strategies that support business objectives
- Mentor and guide team members to deliver exceptional solutions
- Utilize team strengths to manage performance and fulfill client requirements
- Collaborate with stakeholders to enhance cloud resources effectively
- Drive innovation and technology adoption to advance data integration solutions
- Foster a culture of continuous improvement and learning within the team
- Uphold the firm's ethical standards and business conduct
- Implement strategic planning to achieve project success and quality outcomes
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 5 years of experience
What Sets You Apart
- Certification in Cloud Platforms (e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate) is a plus
- Proficient in Python and SQL
- Experience with Docker and containerized deployments
- Skilled in AI techniques enhancing LLMs
- Experience in prompt engineering for LLM optimization
- Implementing data integration solutions using AWS, Azure, GCP
- Utilizing AWS CloudFormation, Azure Resource Manager, Terraform
- Building and deploying DevOps pipelines with cloud services
- Enhancing cloud resources for cost and performance
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Lead in line with our values and brand.
+ Develop new ideas, solutions, and structures; drive thought leadership.
+ Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
+ Balance long-term, short-term, detail-oriented, and big picture thinking.
+ Make strategic choices and drive change by addressing system-level enablers.
+ Promote technological advances, creating an environment where people and technology thrive together.
+ Identify gaps in the market and convert opportunities to success for the Firm.
+ Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
Responsibilities
- Lead the creation and execution of data architecture strategies
- Drive innovation and thought leadership in data solutions
- Collaborate with stakeholders to align technical solutions with business needs
- Maintain compliance with data governance and security protocols
- Promote an environment where technology and people excel together
- Translate complex data requirements into actionable technical plans
- Oversee the implementation of advanced data technologies
- Facilitate cross-functional collaboration to enhance data architecture
What You Must Have
- Bachelor's Degree
- 10 years of experience
What Sets You Apart
- Certification in Cloud Platforms (e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate) is a plus
- Proficient in Python and structured/unstructured data
- Proficient in SQL and relational databases
- Writing and maintaining FastAPI endpoints for applications
- Understanding AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Developing scalable data storage solutions using cloud services
- Designing and managing data warehouses and data lakes
- Implementing IAM roles and policies for cloud platforms
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $155,000 - $410,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Respond effectively to the diverse perspectives, needs, and feelings of others.
+ Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
+ Use critical thinking to break down complex concepts.
+ Understand the broader objectives of your project or role and how your work fits into the overall strategy.
+ Develop a deeper understanding of the business context and how it is changing.
+ Use reflection to develop self awareness, enhance strengths and address development areas.
+ Interpret data to inform insights and recommendations.
+ Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you leverage your proficiency in programming languages and cloud platforms to design and implement data architecture strategies that meet business needs. As a Senior Associate, you analyze complex problems, mentor others, and maintain elevated standards while building meaningful client connections and navigating ambiguity. You collaborate with business stakeholders to translate data requirements into technical solutions, safeguarding data quality and system reliability.
Responsibilities
- Design and implement data architecture strategies aligned with business objectives
- Collaborate with stakeholders to convert data requirements into technical solutions
- Maintain data integrity and system dependability
- Guide and mentor team members to uphold exemplary standards
- Analyze intricate problems to deliver impactful solutions
- Build and nurture meaningful client relationships
- Navigate uncertain situations with confidence and adaptability
- Utilize programming languages and cloud platforms to enhance data solutions
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 3 years of experience
What Sets You Apart
- Certification in Cloud Platforms (e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate,) is a plus
- Skilled in programming languages like Python, Java, Scala
- Proficient in SQL and relational databases
- Experience with Docker and containerized deployments
- Familiarity with AI techniques enhancing LLMs
- Experience in prompt engineering for LLM outputs
- Designing thorough data architecture strategies
- Implementing data integration solutions using cloud services
- Managing data warehouses and data lakes
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

**Specialty/Competency:** Data, Analytics & AI
**Industry/Sector:** Not Applicable
**Time Type:** Full time
**Travel Requirements:** Up to 80%
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
+ Craft and convey clear, impactful and engaging messages that tell a holistic story.
+ Apply systems thinking to identify underlying problems and/or opportunities.
+ Validate outcomes with clients, share alternative perspectives, and act on client feedback.
+ Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
+ Deepen and evolve your expertise with a focus on staying relevant.
+ Initiate open and honest coaching conversations at all levels.
+ Make difficult decisions and take action to resolve issues hindering team effectiveness.
+ Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Demonstrates in-depth abilities and/or success in one or many of the following areas:
+ Strong proficiency in Python and experience with structured and unstructured data.
+ Strong proficiency in SQL and experience with relational databases.
+ Experience writing and maintaining FastAPI endpoints for scalable applications.
+ Strong understanding of AI techniques that enhance LLMs, such as AI Agents, Retrieval-Augmented Generation (RAG), etc.
+ Experience in prompt engineering for optimizing LLM outputs.
+ Experience with AI, GenAI, and machine learning and data science workflows.
+ Experience with machine learning and data science workflows is a plus.
+ Experienced in high software quality through developer-led testing, validation, and best practices.
+ Understanding of developer-led quality assurance, including automated testing, performance tuning, and debugging.
+ Knowledge of software development workflows and CI/CD pipelines.
+ Work with Docker, including writing Docker files and managing containerized deployments.
+ Develop and deploy scalable data storage solutions using AWS, Azure, and GCP services such as S3, Redshift, PostGresDB RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage, etc.
+ Knowledge of data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow, and other relevant services.
+ Design and manage data warehouses and data lakes, ensuring data is organized and accessible.
+ Design and implement comprehensive data architecture strategies that meet the current and future business needs.
+ Develop and document data or system models, flow diagrams, and architecture guidelines.
+ Ensure data architecture is compliant with data governance and data security policies.
+ Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions.
+ Evaluate and recommend new data technologies and tools to enhance data architecture.
+ Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP.
+ Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments.
+ Use AWS, Azure, and GCP DevOps services to build and deploy DevOps pipelines.
+ Optimize Cloud resources for cost, performance, and scalability.
+ Knowledge of data governance and data security best practices.
+ Strong analytical, problem-solving, and communication skills.
+ Ability to work independently and as part of a team in a fast-paced environment.
Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:
+ Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
+ Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
+ Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,
+ Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.
Learn more about how we work: does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link:

Harness the power of data science to solve the world’s most challenging problems by developing your skills in predictive modeling, pattern recognition, data visualization, wrangling massive data sets, forecasting trends, and informing strategy across diverse industries like public policy, robotics, and FinTech.

Get the tech skills, career coaching and networking opportunities to become job ready for a career in Data Science, in as little as three months, with little or no previous experience.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

Create robust predictive models with statistics and Python programming. Build confidence and credibility to tackle complex machine learning problems on the job. This course is offered in person and live online, in a remote classroom setting.

Get the tech skills needed to advance your career in data science, with a flexible work/study program, in as little as ten weeks, with live online instructors who are experts in their field.

Preferred candidates - Actuary, finance, consulting, research, teacher, statistics.

**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
We're seeking an experienced Sr. Software Engineer with a strong background in C#, .NET, and Azure cloud technologies to join our growing engineering team. This individual will play a key role in designing, developing, and delivering scalable, secure, and high-performing applications that support critical business functions. If you're passionate about modern cloud architecture, engineering excellence, and building innovative solutions, we'd love to talk to you.
What You'll Do:
+ Design, develop, and maintain enterprise-level applications using C# and .NET Core/Framework.
+ Leverage the Azure ecosystem (App Services, Functions, Service Bus, SQL Database, Cosmos DB, Key Vault, etc.) to architect and optimize solutions.
+ Build and integrate RESTful APIs for internal and external applications.
+ Collaborate with product managers, architects, and other engineers to define technical requirements and implement best practices.
+ Ensure software is scalable, maintainable, and aligned with security and compliance standards.
+ Participate in code reviews, mentoring junior developers, and driving engineering excellence.
+ Troubleshoot, debug, and optimize application performance in production and cloud environments.
Requirements
What We're Looking For:
+ 7+ years of professional software engineering experience.
+ Deep expertise in C#, .NET Core/Framework development.
+ Hands-on experience with the Azure stack (App Services, Functions, Logic Apps, Azure SQL, Cosmos DB, Service Bus, Storage Accounts, etc.).
+ Strong understanding of REST API design and integration.
+ Proficiency with SQL development and optimization.
+ Experience with modern DevOps practices (CI/CD pipelines, Azure DevOps, Git).
+ Strong problem-solving skills, attention to detail, and ability to work in an Agile environment.
+ Excellent communication and collaboration skills.
Nice to Have:
+ Experience with microservices architecture and containerization (Docker, Kubernetes).
+ Knowledge of front-end technologies (Angular, React, or Blazor).
+ Background in financial services, healthcare, or other regulated industries.
Why Join Us?
+ Competitive salary and comprehensive benefits package.
+ Opportunity to work on impactful projects leveraging the latest Azure cloud technologies.
+ Collaborative and innovative engineering culture with opportunities for professional growth.
+ Hybrid or remote flexibility depending on location.
Technology Doesn't Change the World, People Do.®
Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.
Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app ( and get 1-tap apply, notifications of AI-matched jobs, and much more.
All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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