11 Sas Institute jobs in New Hill

**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.

Our client is launching an exciting Graduate Trainee program designed for ambitious individuals looking to kick-start their careers in data science. This is a unique opportunity to gain hands-on experience, develop advanced analytical skills, and contribute to cutting-edge projects within a supportive and innovative environment. As a Graduate Trainee, you will work closely with experienced data scientists, learning to collect, clean, analyze, and interpret complex datasets to drive business insights and solutions.

Key responsibilities will involve:

• Assisting in the development and implementation of data models and machine learning algorithms.
• Performing data exploration, visualization, and statistical analysis to uncover trends and patterns.
• Collaborating with teams to understand data needs and translate them into analytical tasks.
• Cleaning, transforming, and preparing data for analysis and modeling.
• Documenting methodologies, findings, and results clearly and concisely.
• Learning and applying various data science tools and programming languages (e.g., Python, R, SQL).
• Contributing to the development of reports and presentations of analytical outcomes.
• Participating in team meetings and contributing innovative ideas.
• Undergoing training and professional development in data science best practices.
• Supporting senior team members on ongoing projects.

This internship program is fully remote, offering the flexibility to work from your chosen location. We provide all necessary resources and mentorship to ensure your success. This program is ideal for recent graduates or individuals with limited professional experience seeking to build a career in data science. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field is required. Strong analytical and problem-solving skills are essential. Familiarity with programming languages like Python or R is highly desirable. Excellent communication and teamwork abilities are necessary. This is a paid internship, providing a competitive stipend and valuable real-world experience. Join our dynamic team and take the first step towards an exciting career in 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.

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.

**42576BR**
**Requisition ID:**
42576BR
**Business Unit:**
TSU
**Job Description:**
We are currently seeking an Environmental Data Analytics Discipline Leader who will play a crucial role in leveraging data analytics to enhance our firm's capabilities in environmental services. This position involves working across multiple technical practice areas at the firm, working with CDM Smith's digital teams, and also involves supporting marketing and business development initiatives related to environmental data analytics. This discipline leader will collaborate with other discipline leaders, subject matter experts (SMEs), the company's digital teams, and the larger environmental data analytics group within the firm to gather ideas and assess needs for the environmental data analytics discipline area. They coordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, technicians, and digital experts at the company to provide a variety of environmental services for clients. Additionally, the leader is responsible for developing processes to evaluate ideas and initiatives for potential innovation investment at the firm, aimed at developing analytics tools and technologies.
The Data Analytics Discipline Leader also helps with managing intellectual property (IP) and research and development (R&D) investments by reviewing current environmental data analytics-related ideas, identifying IP to consider for protection, and prioritizing potential R&D investments. They work to grow a team of environmental data analytics practitioners who have the desire or aptitude to pursue environmental analysis for a variety of client projects at the firm. The leader establishes relationships and processes for providing our environmental data analytics services to the market and ensures that the firm stays ahead of competitors by continuously improving data management and analysis capabilities. This role is essential for navigating the competitive landscape and meeting the growing demands for advanced data analytics solutions in the environmental sector.
As a member of this team, you would contribute to CDM Smith's mission by:
-tAssisting CDM Smith's Digital teams in conducting evaluations of available data analytics technologies and platforms to analyze a wide range of environmental data across various applications (e.g., water quality assessments, remedial investigations, remedial actions, and operations and maintenance of treatment systems).
-tWork with the firm's sales teams and with CDM Smith's digital subsidiary, Trinnex (as applicable), on technical sales, design, and delivery of environmental data analytics solutions tailored for environmental analysis-related needs.
-tCollaborate with local, national, and international technical teams.
-tWork across multiple technical practice areas to leverage environmental data analytics research and the firm's development activities, thereby expanding and enhancing the firm's capabilities in environmental services.
-tSupport marketing and business development initiatives related to environmental data analytics.
-tCollaborate and compile ideas: Engage with discipline leaders, subject matter experts (SMEs), and the environmental data analytics group to gather ideas and assess needs for environmental data analytics innovation and more.
-tCoordinate efforts with multi-disciplinary teams of engineers, scientists, designers, draftsmen, and technicians to deliver effective environmental solutions to CDM Smith's clients.
-tEstablish processes: Develop processes to evaluate ideas and initiatives for potential innovation investment at the firm aimed at developing analytics tools and technologies.
-tManage potential intellectual property (IP) and research and development (R&D) investments: Review current environmental data analytics ideas, identify potential IP for protection, prioritize potential R&D investments, and assist with connecting these to the firm's processes and groups overseeing IP protection, innovation, and digital investment.
-tWork with and grow environmental data analytics practitioners who have the desire or aptitude to provide environmental services for a variety of clients at the firm.
-tNavigate the competitive landscape and help keep CDM Smith at the forefront of the environmental data analytics market in the environmental sector.
-tMarket engagement: Identify conferences, working groups, and other activities to enhance technical visibility and promote our capabilities to clients.
-tTrack business opportunities and clients: Identify and monitor business opportunities and client relationships for environmental data analytics services.
**Job Title:**
Environmental Data Analytics Discipline Leader
**Group:**
ESO
**Employment Type:**
Regular
**Minimum Qualifications:**
Bachelor's degree. 7 years of related experience. Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands. Equivalent additional directly related experience will be considered in lieu of a degree.
**Preferred Qualifications:**
-tEnvironmental Expertise: Bachelor's degree in civil, environmental, chemical engineering, science or related discipline. Professional engineering (PE) license or registration as a Licensed Professional Geologist or professional scientist registration/certification or Master's degree in science or related discipline. Must have extensive understanding of environmental analytics.
-tStatistical Analysis Proficiency: Proficient in the mathematical principals of data analytics and the interpretation of environmental data. Familiarity with Python or R a plus.
-tIP Management: Experience in managing intellectual property.
-tEducational Interest: An interest in teaching and developing education and advancement opportunities for mid- and junior-level staff.
-tDomestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.
-t10 years of related experience.
**EEO Statement:**
We attract the best people in the industry, supporting their efforts to learn and grow. We strive to create a challenging and progressive work environment. We provide career opportunities that span a variety of disciplines and geographic locations, with projects that our employees plan, design, build and operate as diverse as the needs of our clients. CDM Smith is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, pregnancy related conditions, childbirth and related medical conditions, sexual orientation, gender identity or gender expression), national origin, age, marital status, disability, veteran status, citizenship status, genetic information or any other characteristic protected by applicable law.
**Why CDM Smith?:**
Check out this video and find out why our team loves to work here! ( Us! CDM Smith - where amazing career journeys unfold.**
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it's a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
**Job Site Location:**
United States - Nationwide
**Agency Disclaimer:**
All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.
**Amount of Travel Required:**
20%
**Assignment Category:**
Fulltime-Regular
**Visa Sponsorship Available:**
No - We will not support sponsorship, i.e. H-1B or TN Visas for this position
**Skills and Abilities:**
Strong knowledge of corporate governance practices, organization design principles, accounting principles, finance, supply chain management, and organization management. Excellent written and oral communication skills. Ability to understand highly complex technical, professional and business materials.
**Background Check and Drug Testing Information:**
CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as "CDM Smith") reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.
**Pay Range Minimum:**
$90,605
**Pay Range Maximum:**
$158,579
**Additional Compensation:**
All bonuses at CDM Smith are discretionary and may or may not apply to this position.
**Work Location Options:**
Hybrid Work Options may be considered for successful candidate.
**Driver's License Requirements:**
An appropriate and valid driver's license is required.
**Massachusetts Applicants:**
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.

Job Description
Insight Global's client within the Corporate Analytics team is seeking a motivated and versatile Data Analytics Engineer to help build and maintain robust financial reporting pipelines. This role blends data engineering and analytics to deliver actionable insights across a global gaming ecosystem. You'll collaborate with finance, insights, and revenue teams, leveraging cutting-edge tools to support decision-making and optimize financial operations.
What You'll Do
- Collaborate with data engineers, analysts, and integration specialists to design and implement end-to-end financial reporting pipelines.
- Partner with finance stakeholders to build analytics systems that capture revenue, tax, and payment data for internationally popular game titles and partner products.
- Work closely with e-commerce engineers and application developers to provide scalable tools for understanding transaction volumes across Online Services.
- Focus on global revenue reporting platform, integrating data from Microsoft, PlayStation, Nintendo, and PC storefronts.
- Develop and maintain dashboards and reports using Tableau to visualize tax, transactional, and e-commerce data.
- Work with central data engineering teams to capture, store, and automate delivery of financial event data using Databricks, Snowflake, and AWS.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 3+ years of cross-functional experience in data engineering and analytics.
- Proficiency in Apache Airflow and Databricks for managing data pipelines.
- Proficiency in API protocols including REST and GraphQL
- Strong command of analytical and development languages such as SQL, Python, Pyspark, or C#.
- Experience with cloud platforms like AWS (Lambda is a plus), Azure, or GCP.
- Experienced in Version Control and CI/CD using GitHub or similar tools
- Excellent English communication and interpersonal skills.
- Demonstrated ability to work with diverse technologies and a passion for owning dashboards, event pipelines, and warehousing solutions. - MS/MA degree in Finance, Computer Science, Mathematics, or a related field.
- Experience with predictive analytics, including regression analysis, classification, or machine learning techniques.
- Proven track record in debugging and CI/CD pipeline management.
- 1+ years of experience optimizing data at scale using Databricks, Snowflake, Hadoop, EMR, Kafka, or similar technologies.

Our client, a forward-thinking organization known for its innovative approach, is seeking a highly motivated Junior Data Scientist to join their expanding analytics team in **Durham, North Carolina**. This graduate-level position offers an exceptional opportunity to apply advanced statistical and machine learning techniques to real-world business challenges. The successful candidate will work under the guidance of senior data scientists, contributing to the development and implementation of predictive models, data visualization, and actionable insights derived from complex datasets. This role is perfect for a recent graduate with a strong academic background and a passion for uncovering patterns and driving data-informed decisions.

Responsibilities will include data cleaning, preprocessing, and feature engineering from various sources. You will assist in building, training, and evaluating machine learning models to address business questions related to customer behavior, market trends, and operational efficiency. Developing clear and compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders will be a key part of your role. Collaboration with cross-functional teams, including marketing, product development, and operations, will be essential to understand their analytical needs and deliver impactful solutions. This hybrid role allows for a structured work environment with a mix of in-office collaboration and remote workdays to foster a healthy work-life balance. Continuous learning and staying updated with the latest advancements in data science and artificial intelligence are strongly encouraged. The opportunity to work with cutting-edge technologies and large-scale datasets makes this an exciting career launchpad.

Qualifications:

• Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Strong understanding of statistical modeling and machine learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, Pandas, NumPy).
• Familiarity with SQL and experience working with relational databases.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex findings to diverse audiences.
• Eagerness to learn and adapt to new technologies and methodologies.
• Previous internship or project experience in data science is a plus.

This is an unparalleled chance to kickstart your career in data science with a company that values innovation and employee growth.

Our client, a prestigious educational institution committed to advancing learning through innovative research and technology, is seeking a highly experienced Principal Data Scientist to lead their Educational Analytics initiatives in Durham, North Carolina . This role is paramount in leveraging data to understand and improve educational outcomes, student success, and pedagogical effectiveness. The ideal candidate will possess a strong background in statistical modeling, machine learning, and data visualization, coupled with a deep understanding of the education sector. You will be responsible for developing sophisticated analytical models, deriving actionable insights from complex datasets, and communicating findings to diverse stakeholders, including faculty, administrators, and policymakers.

Responsibilities:

• Design and implement advanced statistical and machine learning models to analyze student learning patterns, predict academic success, and identify at-risk students.
• Develop and maintain data pipelines for collecting, cleaning, and integrating diverse educational data sources (e.g., LMS data, assessment results, demographic information).
• Create compelling data visualizations and dashboards to communicate key insights and trends to faculty, administrators, and other stakeholders.
• Collaborate with educators and researchers to define key performance indicators (KPIs) and research questions related to student learning and institutional effectiveness.
• Lead the development of predictive and prescriptive analytics solutions to support evidence-based decision-making in curriculum development, student support services, and resource allocation.
• Stay current with cutting-edge research and methodologies in data science, machine learning, and educational analytics.
• Mentor junior data scientists and analysts, and foster a collaborative data-driven culture within the institution.
• Translate complex analytical findings into clear, actionable recommendations for improving educational programs and student outcomes.
• Evaluate and recommend new technologies and tools for educational data analysis and research.
• Ensure data privacy and security protocols are rigorously followed in all data handling and analysis activities.

Qualifications:

• Ph.D. or Master's degree in Data Science, Statistics, Computer Science, Education, or a related quantitative field.
• Minimum of 8-10 years of experience in data science, with a significant focus on predictive modeling, machine learning, and statistical analysis.
• Proven experience applying data science techniques within the education sector, such as learning analytics, student success prediction, or educational resource optimization.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in SQL and experience working with large, complex datasets from various sources.
• Strong understanding of statistical concepts and hypothesis testing.
• Excellent data visualization skills using tools such as Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn).
• Superior communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Demonstrated leadership experience and the ability to mentor junior team members.
• Familiarity with learning management systems (LMS) and educational assessment data is a plus.

This is an exciting opportunity to significantly impact educational practices and student success through the power of data in the vibrant academic environment of Durham, North Carolina .