86 Data Scientists jobs in Cary

Our client, a forward-thinking agricultural technology company, is looking for an innovative Senior Agronomist with expertise in remote sensing and data analysis to join their fully remote team. This role will be instrumental in developing and deploying advanced data-driven solutions to optimize crop production, improve resource management, and enhance sustainability across agricultural operations. You will leverage cutting-edge remote sensing technologies (satellite imagery, drone data, IoT sensors) and sophisticated data analytics techniques to extract actionable insights from vast agricultural datasets. Your responsibilities will include developing algorithms for crop health monitoring, yield prediction, pest and disease detection, and precise nutrient and water management. You will work closely with farmers, agronomists, and research institutions to understand their needs and translate them into data-driven recommendations and tools. The ideal candidate will possess a strong foundation in agronomy, coupled with deep technical expertise in geospatial analysis, statistical modeling, and machine learning. Excellent communication skills are essential to effectively convey complex technical information to a diverse audience. This is a unique opportunity to be at the forefront of agricultural innovation, contributing to more efficient, sustainable, and resilient farming practices worldwide, all from the convenience of your remote workspace.
Responsibilities:

• Develop and implement remote sensing strategies for crop monitoring and analysis.
• Process, analyze, and interpret large-scale agricultural datasets from various sources (satellite, aerial, ground-based sensors).
• Create predictive models for crop yield, health, and stress factors.
• Design and validate algorithms for precision agriculture applications (fertilization, irrigation, pest management).
• Collaborate with software developers to integrate analytical models into user-friendly platforms.
• Provide expert agronomic advice based on data-driven insights to farmers and stakeholders.
• Stay current with advancements in remote sensing technology, data science, and agricultural practices.
• Conduct field trials and validation studies to assess the accuracy and effectiveness of analytical models.
• Prepare technical reports, presentations, and documentation for internal and external audiences.
• Contribute to the development of new data products and services for the agricultural sector.

Qualifications:

• Ph.D. or Master's degree in Agronomy, Crop Science, Soil Science, Remote Sensing, or a related agricultural discipline.
• Minimum of 7 years of experience in agronomy with a strong emphasis on remote sensing and data analysis in agriculture.
• Expertise in processing and analyzing geospatial data (e.g., NDVI, EVI) using software like ArcGIS, QGIS, or ENVI.
• Proficiency in statistical programming languages (e.g., R, Python) and machine learning frameworks.
• Experience with various remote sensing platforms and data acquisition methods.
• Solid understanding of crop physiology, soil science, and agricultural production systems.
• Excellent analytical, problem-solving, and quantitative skills.
• Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
• Proven ability to work independently and collaboratively in a remote team environment.

**Director, Reporting & Data Analysis - Cost of Care Analytics**
Location: This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered.
Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.
The **Director of Reporting & Data Analysis** - **Cost of Care Analytics** is a strategic leader responsible for advancing analytics capabilities to drive insights and decisions that improve cost of care performance. This role oversees a high-performing analytics organization, aligning resources, tools, and methodologies to deliver actionable intelligence that supports both business unit objectives and enterprise-wide healthcare affordability strategies.
**How You Will Make an Impact**
+ Provides visionary leadership in building and motivating a data-driven analytics team focused on cost of care insights.
+ Directs the development of advanced reporting, analytics, and forecasting to identify key cost drivers, efficiency opportunities, and performance improvement levers.
+ Partners with senior business leaders to translate analytics into strategy, ensuring insights directly inform cost management, operational decision-making, and value-based initiatives.
+ Develops organizational capabilities through coaching, training, and effective talent development practices.
+ Ensures accuracy, timeliness, and relevance of analytics deliverables across all supported business areas.
+ Builds strong relationships with stakeholders at all levels, serving as a trusted advisor on cost-of-care performance and analytics.
+ Manages fiscal responsibilities for assigned budgets, ensuring efficient use of resources.
+ Establishes and enforces consistent policies, practices, and methodologies for reporting and data analysis.
+ Leads cross-functional project management efforts, ensuring seamless collaboration across finance, clinical, and business teams.
+ Communicates complex technical and analytical findings in clear, actionable, business terms.
**Minimum Qualifications:**
+ Requires a BA/BS degree and a minimum of 10 years of experience leading project teams, or any combination of education and experience, which would provide an equivalent background.
**Preferred Skills, Capabilities, and Experience:**
+ Deep knowledge of information management technologies and modern analytics platforms.
+ Demonstrated track record of developing and executing analytics strategies that impact cost of care or financial performance.
+ Experience leading multi-disciplinary teams and managing large, complex data initiatives.
+ Strong understanding of healthcare economics, medical cost drivers, and affordability levers.
+ Proven ability to influence and collaborate with executive leaders and external partners.
+ Exceptional communication skills, including facilitation, consultation, and executive-level storytelling.
+ Prior leadership in an analytics, finance, or healthcare environment with demonstrated impact on organizational performance.
+ Actuarial, Economics or Finance background preferred.
+ Experience Identifying medical cost drivers and mitigation factors.
Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.
Who We Are
Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.
How We Work
At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.
We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.
Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.
The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.
Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact for assistance.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Our client is seeking a highly skilled Senior Data Scientist with expertise in Machine Learning to join their innovative IT and Software team. This is a fully remote position, allowing you to leverage your talents from anywhere. You will be responsible for developing, implementing, and deploying advanced machine learning models to solve complex business problems. This includes data mining, feature engineering, model selection, training, validation, and deployment. You will work with large datasets, utilizing various statistical and machine learning techniques, including deep learning, natural language processing, and predictive analytics. Responsibilities also involve collaborating with engineering and product teams to integrate ML models into existing systems and create new data-driven products. The ideal candidate will have a strong background in statistics, mathematics, and computer science, with a proven track record of delivering impactful ML solutions. Proficiency in programming languages such as Python or R, and experience with ML libraries like TensorFlow, PyTorch, or scikit-learn, are essential. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly valued. You should possess excellent problem-solving skills, the ability to communicate complex technical concepts effectively to both technical and non-technical audiences, and a passion for staying at the forefront of AI and machine learning research. A Master's or Ph.D. in Computer Science, Statistics, or a related field, along with 5+ years of relevant experience, is required. If you are a motivated and experienced Data Scientist eager to make a significant impact through machine learning in a remote setting, we encourage you to apply.

Our client is embarking on an exciting journey to leverage cutting-edge artificial intelligence and machine learning to transform their business, and they are seeking a Lead Data Scientist to spearhead this effort. This role is a fully remote position, offering you the flexibility to work from anywhere while driving significant innovation. You will lead a talented team of data scientists and engineers, defining the machine learning strategy, developing sophisticated models, and deploying them into production environments. Your work will directly impact key business decisions and product development, making this a high-visibility and high-impact role.

Key Responsibilities:

• Define and drive the company's machine learning strategy and roadmap.
• Lead the design, development, and implementation of advanced machine learning models for predictive analytics, classification, clustering, and natural language processing.
• Mentor and guide a team of data scientists, fostering a culture of innovation and technical excellence.
• Collaborate closely with product managers, engineers, and business stakeholders to identify opportunities for ML applications.
• Oversee the entire ML lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
• Ensure the scalability, robustness, and maintainability of deployed ML solutions.
• Stay abreast of the latest advancements in machine learning, AI, and related fields.
• Communicate complex technical findings and recommendations to diverse audiences, including executive leadership.
• Contribute to the development of best practices and standards for data science and machine learning within the organization.

Qualifications:

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Extensive experience (7+ years) in data science and machine learning, with a proven track record of leading projects and teams.
• Deep expertise in various machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop).
• Strong understanding of statistical modeling, experimental design, and data mining techniques.
• Excellent problem-solving skills and the ability to translate business problems into analytical solutions.
• Exceptional communication and leadership abilities, with experience managing remote teams effectively.
• Experience with cloud platforms (AWS, Azure, GCP) for ML deployment is highly desirable.

Join a forward-thinking organization that is committed to data-driven decision-making and innovation. This is your chance to shape the future of AI within a supportive and flexible remote work environment.

Our client is seeking a highly skilled and innovative Senior Data Scientist specializing in Machine Learning to join their fully remote team. This position, conceptually based near Durham, North Carolina, US , is crucial for driving data-driven decision-making and developing advanced predictive models. You will leverage large datasets to uncover insights, build sophisticated ML algorithms, and deploy them into production environments. The ideal candidate possesses a deep theoretical understanding of ML algorithms, extensive practical experience in building and deploying models, and exceptional communication skills to translate complex findings into actionable business strategies. This is a fully remote role, offering the flexibility to work from anywhere.

Responsibilities:

• Design, develop, and implement machine learning models for various business applications, including predictive modeling, classification, regression, and clustering.
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Clean, preprocess, and transform data to prepare it for model training and evaluation.
• Select appropriate ML algorithms and techniques based on project requirements and data characteristics.
• Build and maintain data pipelines for model training, validation, and deployment.
• Evaluate model performance, conduct hyperparameter tuning, and optimize models for accuracy and efficiency.
• Collaborate with software engineers to integrate ML models into production systems and applications.
• Communicate complex technical findings and recommendations clearly to both technical and non-technical stakeholders through reports and presentations.
• Stay abreast of the latest advancements in machine learning, artificial intelligence, and data science.
• Mentor junior data scientists and contribute to the team's knowledge sharing and best practices.
• Identify opportunities for leveraging data science and ML to solve business challenges.
• Ensure the ethical and responsible use of data and AI technologies.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a strong focus on machine learning.
• Proven experience in developing and deploying machine learning models in production environments.
• Proficiency in programming languages such as Python or R, and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong understanding of statistical modeling, data mining, and machine learning algorithms.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Experience with data visualization tools (e.g., Tableau, Matplotlib).
• Ability to work independently and as part of a collaborative remote team.
• Experience with MLOps practices is desirable.

This fully remote position offers a highly competitive salary, comprehensive benefits, and the opportunity to shape the future of data-driven innovation.

Our client, a prestigious research university, is seeking a highly skilled and innovative Principal Data Scientist specializing in Machine Learning to join their advanced analytics team in Durham, North Carolina, US . This role will lead the development and deployment of sophisticated machine learning models to address complex challenges across various academic and research domains. You will be responsible for conceptualizing, designing, and implementing cutting-edge ML algorithms, including deep learning, NLP, and predictive modeling, utilizing large and complex datasets. Key tasks include data preprocessing, feature engineering, model training, validation, and performance monitoring. You will also mentor junior data scientists, collaborate with faculty and researchers to identify new analytical opportunities, and communicate findings to both technical and non-technical audiences. The ideal candidate will possess a Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, with a strong emphasis on machine learning and data science. A minimum of 8 years of hands-on experience in developing and deploying ML models in production environments is required. Expertise in programming languages such as Python or R, and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn), as well as big data technologies (e.g., Spark, Hadoop), is essential. Strong understanding of statistical modeling, experimental design, and data visualization techniques is also crucial. Excellent analytical, problem-solving, and communication skills are required to effectively lead projects and influence research direction. This position is based in our Durham campus and requires on-site presence for team collaboration and access to specialized research resources. We offer a competitive salary, comprehensive benefits, and the opportunity to contribute to pioneering research at a leading academic institution.

Our client is offering an exciting remote internship opportunity for a motivated Junior Data Scientist to join their innovative analytics team. This is a fully remote, paid internship based out of Durham, North Carolina, US , providing aspiring data scientists with invaluable hands-on experience in machine learning and data analysis. You will work closely with senior data scientists and engineers on real-world projects, applying your academic knowledge to solve complex business problems. Key responsibilities include data cleaning, feature engineering, model development, and evaluation using various machine learning algorithms. You will gain practical experience with Python, R, and popular ML libraries such as scikit-learn, TensorFlow, and PyTorch. The role involves exploring large datasets, identifying patterns, and contributing to the development of predictive models and analytical solutions. You will also assist in the visualization of data and results to communicate insights effectively. Collaboration is key, and you will participate in team meetings, contribute to code reviews, and present your findings. This internship is designed to provide a comprehensive understanding of the data science lifecycle in a professional, remote-first environment. Successful completion of this internship can lead to further opportunities within the company. Applicants should have a strong foundation in statistics, mathematics, and computer science, with a demonstrated passion for data and machine learning. Familiarity with cloud platforms like AWS or Azure is a plus. This role offers a unique chance to build a professional portfolio and gain critical skills in a rapidly evolving field.

Key Responsibilities:

• Assist in data collection, cleaning, and pre-processing.
• Develop and implement machine learning models under supervision.
• Perform exploratory data analysis to identify trends and insights.
• Support the design and execution of A/B tests.
• Visualize data and model results for reporting.
• Collaborate with team members on project tasks.
• Document code and methodologies.
• Learn and apply new data science techniques.
• Contribute to team discussions and knowledge sharing.
• Assist in the deployment of models into production environments.

Our client is looking for enthusiastic and bright aspiring individuals to join their fully remote team as Junior Data Scientists, with a specific focus on Machine Learning. This internship is an exceptional opportunity for current students or recent graduates to gain hands-on experience in a cutting-edge field, working on real-world projects alongside experienced data scientists. You will be involved in the entire data science pipeline, from data collection and cleaning to model development, training, evaluation, and deployment.

As a Junior Data Scientist, you will contribute to developing and implementing machine learning models to solve complex business problems. This may involve tasks such as building predictive models, natural language processing applications, or computer vision systems, depending on project needs. You will work with large datasets, utilizing statistical techniques and programming languages like Python or R. Responsibilities include exploring data, identifying patterns, feature engineering, and testing various algorithms. You will learn to effectively communicate findings and insights through visualizations and reports. The role requires a strong analytical mindset, a keen interest in machine learning, and a desire to learn and grow in a collaborative, virtual environment. You will receive mentorship and guidance from senior team members, providing invaluable learning experiences. This is a remote position, demanding proactive engagement, strong self-management skills, and the ability to contribute effectively within a distributed team structure. The goal is to provide a comprehensive learning experience while contributing meaningfully to ongoing projects.

Qualifications:

• Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
• Strong foundational knowledge of statistical concepts and machine learning algorithms.
• Proficiency in programming languages such as Python (preferred) or R, and familiarity with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
• Experience with data manipulation and analysis tools.
• Familiarity with data visualization techniques.
• Excellent problem-solving and critical thinking skills.
• Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
• Ability to work independently and manage time effectively in a remote setting.
• A genuine passion for data science and machine learning.
• Must be eligible to work in the US and available for the duration of the internship.

This is an unparalleled opportunity for ambitious students to kickstart their careers in data science. While the internship is fully remote, candidates with a connection to the **Durham, North Carolina, US** area will find this particularly exciting.

Our client is seeking bright and enthusiastic Junior Data Scientists to join their remote-first team, focusing on machine learning applications. This is an excellent opportunity for recent graduates or individuals early in their data science careers to gain hands-on experience and contribute to impactful projects. You will work under the guidance of senior data scientists to develop, train, and deploy machine learning models that solve real-world business problems. Your responsibilities will include data collection, cleaning, preprocessing, and feature engineering. You will assist in exploring datasets, identifying patterns, and developing hypotheses. This role requires proficiency in programming languages commonly used in data science, such as Python or R, and familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). You will contribute to model evaluation, validation, and the interpretation of results. The ability to visualize data and communicate findings effectively through reports and presentations is essential. We are looking for individuals with a strong foundation in statistics, mathematics, and computer science, combined with a genuine passion for machine learning and artificial intelligence. This position offers a dynamic learning environment, mentorship from experienced professionals, and the chance to work on challenging projects in a collaborative, remote setting. Your fresh perspective and eagerness to learn will be highly valued.

Responsibilities:

• Assist in developing, training, and deploying machine learning models.
• Perform data cleaning, preprocessing, and feature engineering.
• Explore and analyze large datasets to identify trends and insights.
• Collaborate with senior data scientists on model development and validation.
• Write clean, efficient, and well-documented code in Python or R.
• Contribute to model evaluation, testing, and performance tuning.
• Prepare visualizations and reports to communicate findings.
• Stay current with the latest advancements in machine learning and data science.
• Participate in team meetings and contribute to project discussions.
• Support data infrastructure and tooling as needed.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Strong foundational knowledge of machine learning algorithms and statistical modeling.
• Proficiency in Python or R, including relevant data science libraries (pandas, NumPy, scikit-learn).
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills for remote work.
• Eagerness to learn and adapt to new technologies.
• Previous internship or project experience in data science is advantageous.