18 Sas Institute jobs in Cary

About the Role:

You will lead the strategy and delivery of Market Intelligence within the Experience function, with a focus on driving business growth through insights. You will identify opportunities and threats, develop intelligence-led strategies and maximize data usage to enhance marketing, web, and sales performance. You will have experience in business operations, analytics, and data visualization to create insights, improve outcomes, and ensure collaboration among our teams. You will report to the Vice President - Marketing Operations.

You Will:

• Lead a team in a manner consistent with our Behaviors and Management Charter

• Develop market (including competitive) intelligence solutions to help a diverse set of partners explore data and uncover new insights that can be translated into action.

• Partner with other teams to offer strategic insights, review and translate findings, make applicable recommendations, measure success of programs and provide insight into how to improve personalization use cases.

• Develop multiple audience, marketing, product-based, operational and executive dashboards in Power BI or Tableau. Summarize data and provide analysis.

• Stay up to date with the latest BI and data analytics technologies, and industry trends.

• Use a hybrid work schedule

Partner Sales Business Intelligence Manager
Apply ( Location:RTP, North Carolina, US
+ Alternate LocationUS Remote
+ Area of InterestBusiness Strategy and Operations
+ Compensation Range USD - USD
+ Job TypeProfessional
+ Technology InterestPortfolio
+ Job Id
The application window is expected to close on: September 19, 2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
**Mission:** Accelerate growth for all partners, especially within the Cisco 360 partner program.
**About the Organization and Cisco 360 Partner Program:**
The Global GPRS organization is dedicated to driving partner success worldwide. The Cisco 360 partner program is a transformative initiative designed to accelerate partner growth by elevating their ability to develop and deliver third-party solutions that add significant value to our mutual customers. This includes Independent Software Vendors (ISVs) and Independent Hardware Vendors (IHVs) who provide industry-specific or horizontal solutions that complement Cisco's technology portfolio. Our focus is on integrating these partners-developers, consultants, and advisory firms-who influence Cisco customer decisions, thereby accelerating their growth and impact.
This is an exciting time to join the team as we revolutionize the partner ecosystem through the Cisco 360 program, investing heavily in advisory and developer partners critical to customer success. We emphasize driving objective, transparent goals and truly recognizing the influence these partners have on our customers.
**Role Summary:**
The Business Intelligence Manager at Grade 10 will focus on managing and analyzing partner engagement data to support the growth and success of the Cisco 360 partner ecosystem. This role involves deriving actionable insights from influence tracking mechanisms that link Cisco bookings and opportunities to partner activities. The manager will prepare and present standard monthly business reviews to senior leaders, highlighting key metrics, trends, and the underlying causes of changes. The focus is on diagnosing impacts and predicting future growth opportunities by industry and customer segment.
**Core Responsibilities:**
+ Manage data collection and dashboard development to track partner engagement and influence on Cisco bookings.
+ Analyze trends and provide executive summaries that explain why changes are occurring, not just reporting data.
+ Support monthly business reviews with senior leadership, focusing on insights and predictive analytics.
+ Collaborate with cross-functional teams to align BI efforts with partner growth objectives.
+ Begin to develop influence tracking mechanisms and refine metrics to better capture partner impact.
**Required qualifications:**
+ **Bachelor's Degree in Business, Data Analytics, Computer Science, or a related field** Demonstrates foundational knowledge necessary for BI and data-driven roles.
+ **2+ years' experience in business intelligence, data analytics, or sales analytics** Ensures ability to manage, analyze, and interpret data relevant to partner engagement.
+ **Proficiency with BI tools and data visualization platforms** (e.g., Tableau, Power BI, or equivalent-needed for dashboard development and reporting.)
+ **Strong analytical and problem-solving skills** Ability to diagnose business trends and translate findings into actionable insights.
+ **Excellent communication and presentation skills** Ability to prepare and deliver executive summaries and business reviews to senior leadership.
**Preferred Qualifications:**
1. **Experience working within partner ecosystems, channel sales, or technology alliances** Familiarity with partner dynamics and influence models in a tech environment.
2. **Advanced degree (e.g., Master's in Business Analytics, Data Science, or MBA)**
3. **Proficiency in data querying languages and tools** (e.g., SQL, Python, R-enables deeper analysis and automation.)
4. **Familiarity with incentive modeling or partner program design** Directly supports the development of partner benefits and incentive structures.
5. **Experience supporting AI/data-driven strategic initiatives**
**#WeAreCisco**
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Leader, Data Science
Apply ( Location:RTP, North Carolina, US
+ Alternate LocationSan Jose, CA Internal Only, Atlanta, GA
+ Area of InterestFinance
+ Compensation Range USD - USD
+ Job TypeProfessional
+ Technology InterestAI or Artificial Intelligence, Big Data, Analytics
+ Job Id
Members of the Finance organization at select locations will generally be expected to follow a hybrid work model, which includes two days of in-office attendance each week, with limited exceptions.
The application window is expected to close on: 10/17/2025.
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
**Meet the Team**
Join the Data & Systems Architecture team within Global Procurement Services (GPS), where we design scalable data architecture, build trusted data ecosystems, and implement advanced analytics solutions. Collaborating with cross-functional teams, we deliver insights that enhance decision-making, improve procurement efficiency, and ensure data accuracy. At GPS, we prioritize innovation, teamwork, and excellence, fostering an inclusive environment that supports growth and success.
**Your Impact**
As a Leader, Data Science on the GPS Data & Systems Architecture team, you will lead the development of scalable data platforms and trusted data ecosystems that power strategic decision-making across procurement operations. You'll architect modern data infrastructure, establish data standards, and oversee the deployment of AI-enabled solutions that unlock insights and automation across the enterprise.
**You will:**
Lead the design and implementation of robust, secure, and scalable data infrastructure for procurement analytics
Build end-to-end pipelines and data products to support reporting, forecasting, and AI-powered insights
Guide high-level strategy and hands-on execution for data quality, governance, and compliance
Collaborate with business and engineering partners to align data architecture with enterprise needs
Support the integration of machine learning models and AI tools for use cases like supplier risk, spend forecasting, and process automation
Promote adoption of cloud-native data tools, reusable frameworks, and enterprise-wide best practices
Mentor and grow a high-performing team of data scientists and analysts, fostering development and alignment with business priorities
Communicate technical concepts clearly to executive stakeholders and drive alignment across technical and business teams
Champion a culture of innovation, experimentation, and ownership within the team
**Minimum Qualifications**
+ **Experience** : 15+ years in data infrastructure, analytics engineering, or data architecture roles, preferably within large enterprise environments
+ **Data Architecture & Engineering:** Hands-on expertise with MPP databases (e.g., Snowflake, Redshift, BigQuery), cloud platforms (AWS, Azure, GCP), and scalable data pipelines
+ **Programming & Modeling** : Advanced proficiency in Python and SQL with experience developing analytical models (e.g., regression, time-series, neural networks)
+ **BI & Visualization:** Strong command of tools such as Power BI, AI Analytics tools with proven ability to build data products for broad business consumption
+ **Leadership** : At least 6 + years of experience managing or leading technical teams, with the ability to mentor talent and drive results through collaboration
+ **Governance & Compliance** : Deep understanding of data governance practices, including security, privacy, and lifecycle management
+ **AI/ML Engineering:** Experience integrating AI/ML solutions into production workflows, including foundation models or LLM-based tools
**Preferred Qualifications**
+ Familiarity with unstructured data systems (e.g., MongoDB, Elasticsearch) and vector databases
+ Prior experience supporting procurement, supply chain, or finance domains through data and analytics
+ Master's degree in computer science, Data Engineering, or a related quantitative field
+ Passion for driving innovation, operational efficiency, and continuous improvement using data
+ Knowledge of enterprise systems and financial planning tools.
#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.
Our passion is connection-we celebrate our employees' diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.
We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer-80 hours each year-allows us to give back to causes we are passionate about, and nearly 86% do!
Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!
**Message to applicants applying to work in the U.S. and/or Canada:**
When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. and/or Canada locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. or Canada hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.
U.S. employees haveaccess ( to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday (for non-exempt employees), plus a day off for their birthday. Non-Exempt new hires accrue up to 16 days of vacation time off each year, at a rate of 4.92 hours per pay period. Exempt new hires participate in Cisco's flexible Vacation Time Off policy, which does not place a defined limit on how much vacation time eligible employees may use, but is subject to availability and some business limitations. All new hires are eligible for Sick Time Off subject to Cisco's Sick Time Off Policy and will have eighty (80) hours of sick time off provided on their hire date and on January 1st of each year thereafter. Up to 80 hours of unused sick time will be carried forward from one calendar year to the next such that the maximum number of sick time hours an employee may have available is 160 hours. Employees in Illinois have a unique time off program designed specifically with local requirements in mind. All employees also have access to paid time away to deal with critical or emergency issues. We offer additional paid time to volunteer and give back to the community.
Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco typically pays as follows:
.75% of incentive target for each 1% of revenue attainment up to 50% of quota;
1.5% of incentive target for each 1% of attainment between 50% and 75%;
1% of incentive target for each 1% of attainment between 75% and 100%; and once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation.
For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis.
Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

Join us as a Sr. Data Science & Analytics Intern and immerse yourself in an exceptionally rewarding opportunity at Thermo Fisher Scientific Inc. Here, your work will have a real-world impact, from helping find cures for cancer to ensuring our food is safe. Our team is committed to making a difference, and we support your career goals every step of the way.

How will you make an impact?

Our interns are matched to projects based on their abilities and current business needs, with significant strategic and operational importance. You will have the opportunity to:

• Partner with leadership to identify and address efficiency improvements.

• Become a process owner by critically reviewing processes and recommending improvements.

• Develop tools and models to improve tracking and efficiency.

• Learn and promote continuous improvement methodologies such as PPI and Six Sigma.

• Collaborate across the IT function to achieve business objectives in areas like Global Information Security, Digital Technology & Delivery, Enterprise Application Systems, Business Intelligence, and Data Science.

Start Date

This internship begins on either May 11th or June 15th, 2026, for a duration of 10-12 weeks, depending on student availability per academic calendars.

Compensation & Relocation

We offer an hourly rate between $22.50 - $8.50, depending on the location. A relocation stipend of 5,000 is available for students located 50+ miles from the internship location.

How will you get here?

• Master's student completing an Information Technology-related degree between December 2026 and June 2027.

• Previous related internships preferred but not required.

• Proven track record demonstrating integrity, innovation, involvement, and intensity.

• Energized by championing change, achieving results, and navigating ambiguity.

• Excellent interpersonal communication skills with high emotional intelligence.

If this sounds like you, we'd love to hear from you!

To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.

Compensation and Benefits

The hourly pay range estimated for this position Sr Intern based inNorth Carolina is 14.75- 55.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

• A choice of national medical and dental plans, and a national vision plan, including health incentive programs

• Employee assistance and family support programs, including commuter benefits and tuition reimbursement

• At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

• Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

• Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit:

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

**Work Schedule**
Standard (Mon-Fri)
**Environmental Conditions**
Office
**Job Description**
Join us as a Sr. Data Science & Analytics Intern and immerse yourself in an exceptionally rewarding opportunity at Thermo Fisher Scientific Inc. Here, your work will have a real-world impact, from helping find cures for cancer to ensuring our food is safe. Our team is committed to making a difference, and we support your career goals every step of the way.
How will you make an impact?
Our interns are matched to projects based on their abilities and current business needs, with significant strategic and operational importance. You will have the opportunity to:
+ Partner with leadership to identify and address efficiency improvements.
+ Become a process owner by critically reviewing processes and recommending improvements.
+ Develop tools and models to improve tracking and efficiency.
+ Learn and promote continuous improvement methodologies such as PPI and Six Sigma.
+ Collaborate across the IT function to achieve business objectives in areas like Global Information Security, Digital Technology & Delivery, Enterprise Application Systems, Business Intelligence, and Data Science.
**Start Date**
This internship begins on either May 11th or June 15th, 2026, for a duration of 10-12 weeks, depending on student availability per academic calendars.
**Compensation & Relocation**
We offer an hourly rate between $22.50 - $8.50, depending on the location. A relocation stipend of 5,000 is available for students located 50+ miles from the internship location.
How will you get here?
+ Master's student completing an Information Technology-related degree between December 2026 and June 2027.
+ Previous related internships preferred but not required.
+ Proven track record demonstrating integrity, innovation, involvement, and intensity.
+ Energized by championing change, achieving results, and navigating ambiguity.
+ Excellent interpersonal communication skills with high emotional intelligence.
If this sounds like you, we'd love to hear from you!
**To qualify, applicants must be legally authorized to work in the United States and should not require sponsorship (current or future) for employment visa status. Thermo Fisher does not offer employment in this position to holders of F-1, J-1, H-1, OPT, and CPT Visas for the purpose of obtaining practical experience.**
**Compensation and Benefits**
The hourly pay range estimated for this position Sr Intern based inNorth Carolina is 14.75- 55.00.
This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:
+ A choice of national medical and dental plans, and a national vision plan, including health incentive programs
+ Employee assistance and family support programs, including commuter benefits and tuition reimbursement
+ At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy
+ Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan
+ Employees' Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount
For more information on our benefits, please visit: Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

Our client is launching an exciting Graduate Trainee program designed to nurture the next generation of data scientists and analysts in Durham, North Carolina, US . This is an exceptional opportunity for recent graduates with a passion for data, mathematics, and technology to gain hands-on experience in a cutting-edge environment. As a Graduate Trainee, you will work closely with experienced professionals on real-world projects, contributing to data-driven decision-making across various business units. You will receive comprehensive training in statistical modeling, machine learning, data visualization, and programming languages such as Python and R.

Key Responsibilities:

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Develop and implement statistical models and machine learning algorithms under guidance.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Create compelling data visualizations and reports to communicate findings.
• Collaborate with cross-functional teams to understand data requirements and project objectives.
• Support the development and maintenance of data infrastructure and pipelines.
• Participate in training sessions and knowledge-sharing initiatives.
• Contribute to ad-hoc data analysis requests as needed.
• Learn and apply best practices in data governance and ethics.

Qualifications:

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundation in statistical concepts and analytical techniques.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with SQL for database querying.
• Excellent problem-solving abilities and attention to detail.
• Strong written and verbal communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work effectively both independently and as part of a team.
• Must be based in or willing to relocate to Durham, North Carolina, US for the duration of the program.

This is a full-time, 12-month rotational program offering competitive compensation and the potential for a permanent role upon successful completion. It's an ideal starting point for a career in the high-demand field of data science.

Position Summary

We are looking for a hands-on Data Scientist to join our Enterprise Data Science team within MetLife's Data & Analytics organization. This role focuses on building proof-of-concept (POC) solutions and accelerating the delivery of AI/ML capabilities across the enterprise. The ideal candidate combines strong coding skills with a passion for turning ideas into working prototypes that demonstrate real business value.

Key Responsibilities

• Develop POC applications and demos to showcase AI/ML capabilities using Python and JavaScript.

• Collaborate with data scientists, engineers, and product teams to develop AI/ML solutions.

• Translate business requirements into technical prototypes that validate feasibility and impact.

• Support solution refinement by gathering feedback and iterating on POCs for usability and scalability.

• Contribute to internal enablement by creating reusable code components and documentation.

Required Skills:

• 3-5 years of experience in data science, software engineering, or related technical roles.

• Proficiency in Python (data science libraries, API development) and JavaScript.

• Demonstrated ability to build end-to-end applications or prototypes integrating data, models, and user interfaces.

• Solid understanding ML concepts and practical experience working with model outputs.

• Strong communication skills for translating technical concepts to non-technical stakeholders.

• Experience with cloud platforms and containerization tools.

• Familiarity with CI/CD practices.

Preferred Skills:

• Hands-on experience with AI model and AI capability development.

• Experience with data visualization tools and techniques.

• Exposure to MLOps practices or tools.

• Experience working in agile or cross-functional teams.

Equal Employment Opportunity/Disability/Veterans

If you need an accommodation due to a disability, please email us at This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

Position Summary
We are looking for a hands-on Data Scientist to join our Enterprise Data Science team within MetLife's Data & Analytics organization. This role focuses on building proof-of-concept (POC) solutions and accelerating the delivery of AI/ML capabilities across the enterprise. The ideal candidate combines strong coding skills with a passion for turning ideas into working prototypes that demonstrate real business value.
Key Responsibilities
* Develop POC applications and demos to showcase AI/ML capabilities using Python and JavaScript.
* Collaborate with data scientists, engineers, and product teams to develop AI/ML solutions.
* Translate business requirements into technical prototypes that validate feasibility and impact.
* Support solution refinement by gathering feedback and iterating on POCs for usability and scalability.
* Contribute to internal enablement by creating reusable code components and documentation.
Required Skills:
* 3-5 years of experience in data science, software engineering, or related technical roles.
* Proficiency in Python (data science libraries, API development) and JavaScript.
* Demonstrated ability to build end-to-end applications or prototypes integrating data, models, and user interfaces.
* Solid understanding ML concepts and practical experience working with model outputs.
* Strong communication skills for translating technical concepts to non-technical stakeholders.
* Experience with cloud platforms and containerization tools.
* Familiarity with CI/CD practices.
Preferred Skills:
* Hands-on experience with AI model and AI capability development.
* Experience with data visualization tools and techniques.
* Exposure to MLOps practices or tools.
* Experience working in agile or cross-functional teams.
Equal Employment Opportunity/Disability/Veterans
If you need an accommodation due to a disability, please email us at This information will be held in confidence and used only to determine an appropriate accommodation for the application process.
MetLife maintains a drug-free workplace.

Our client, a leading research institution, is seeking motivated Graduate Research Assistants to join their innovative Data Science team. This position offers a hybrid work arrangement, combining on-site research activities with remote data analysis and collaboration, based in **Durham, North Carolina, US**. You will support ongoing research projects by collecting, cleaning, analyzing, and visualizing large datasets. The ideal candidate will have a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline, with a passion for data-driven discovery. Responsibilities include assisting senior researchers in designing experiments, developing predictive models, implementing machine learning algorithms, and interpreting research findings. You will work with various data sources and tools, contributing to the advancement of knowledge in diverse research areas. This internship provides an excellent opportunity to gain hands-on experience in cutting-edge data science techniques and collaborate with a team of accomplished researchers. Our client is dedicated to fostering a supportive learning environment where interns can develop their skills and make meaningful contributions. Strong programming skills (e.g., Python, R) and familiarity with data science libraries are essential. Excellent communication and teamwork skills are also required to effectively present findings and collaborate with team members. This role is ideal for a graduate student eager to apply their academic knowledge to real-world research challenges and contribute to impactful discoveries.

Responsibilities:

• Assist in the collection, cleaning, and preprocessing of large datasets.
• Perform statistical analysis and data visualization to identify trends and patterns.
• Develop and implement machine learning models and algorithms under guidance.
• Support researchers in experimental design and data interpretation.
• Collaborate with team members on research projects and data-driven problem-solving.
• Document methodologies, code, and research findings.
• Present research results to the research team.
• Contribute to literature reviews and research proposal development.

Qualifications:

• Currently pursuing a Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Strong foundational knowledge in statistics, data analysis, and machine learning concepts.
• Proficiency in programming languages such as Python or R and relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Experience with data visualization tools is a plus.
• Excellent analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to work both independently and as part of a team.
• Enthusiasm for research and a strong desire to learn new techniques.

This internship offers valuable practical experience and the chance to contribute to groundbreaking research in a collaborative environment.