4,134 Predictive Modeling jobs in the United States

Our client is seeking an ambitious and detail-oriented Junior Data Analyst to join a dynamic team in Nashville, Tennessee, US . This role is perfect for a recent graduate eager to apply analytical skills to real-world business challenges. You will be instrumental in transforming raw data into actionable insights, contributing to strategic decision-making across various departments. Responsibilities include data collection from diverse sources, data cleaning and preparation for analysis, performing statistical analysis to identify trends and patterns, and developing reports and dashboards to visualize findings. You will also assist senior analysts in building predictive models and forecasting future outcomes. The ideal candidate possesses a strong foundation in statistical concepts and analytical techniques, proficiency in SQL for data extraction and manipulation, and hands-on experience with at least one data visualization tool such as Tableau or Power BI. Familiarity with programming languages like Python or R for data analysis is a significant advantage. A bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field is required. We are looking for candidates who exhibit excellent problem-solving abilities, meticulous attention to detail, and strong communication skills to present complex data in an understandable manner. This is a fantastic opportunity to kickstart your career in data analytics within a supportive and innovative environment. The position offers a hybrid work model, blending remote flexibility with in-office collaboration, fostering both productivity and team synergy. Join us and contribute to shaping the future of data-driven strategies.

Our client is seeking an exceptional Senior Data Scientist specializing in Predictive Modeling to join their innovative, fully remote team. This is a unique opportunity to leverage cutting-edge machine learning techniques to drive critical business decisions within the insurance sector. The ideal candidate will have a profound understanding of statistical modeling, machine learning algorithms, and data mining techniques, with a proven track record of building and deploying successful predictive models. As a Senior Data Scientist, you will be responsible for developing, implementing, and validating sophisticated models for applications such as fraud detection, customer churn prediction, risk assessment, and pricing optimization. You will work with large, complex datasets, transforming raw data into actionable insights. This role requires strong programming skills in languages such as Python or R, proficiency with SQL, and experience with big data technologies (e.g., Spark, Hadoop). Expertise in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch) is essential. You will collaborate closely with business stakeholders, product managers, and engineers to understand their needs and translate them into data science solutions. Excellent communication and presentation skills are vital for explaining complex analytical findings to both technical and non-technical audiences. This remote-first role demands self-motivation, strong organizational skills, and the ability to work independently and collaboratively within a virtual team environment. A Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline is required, along with several years of relevant professional experience. If you are passionate about leveraging data to solve challenging problems and drive business value, we encourage you to apply and contribute to the forefront of data science in insurance.

Key Responsibilities:

• Develop and implement advanced predictive models using machine learning and statistical techniques.
• Analyze large, complex datasets to extract actionable insights and identify trends.
• Clean, process, and transform data for modeling purposes.
• Build and deploy machine learning pipelines for production environments.
• Evaluate model performance, perform A/B testing, and iterate on model improvements.
• Collaborate with business stakeholders to define project requirements and KPIs.
• Communicate complex analytical findings and recommendations to diverse audiences.
• Stay current with the latest advancements in data science, machine learning, and AI.
• Mentor junior data scientists and contribute to the team's technical growth.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience in data science, with a focus on predictive modeling.
• Strong proficiency in Python or R and SQL.
• Expertise in machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Solid understanding of statistical concepts and experimental design.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation abilities.
• Ability to work independently and effectively in a remote team.

Our client is seeking an enthusiastic and analytically minded Junior Data Analyst to join their innovative team. This internship position is based in our Columbus, Ohio, US office and offers an unparalleled opportunity to gain hands-on experience in data analysis and predictive modeling within a fast-paced environment. The successful candidate will work closely with senior analysts to extract, transform, and analyze data, contributing to critical business insights.

Responsibilities:

• Assist in collecting, cleaning, and organizing large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Support the development and validation of predictive models under the guidance of senior team members.
• Create clear and concise data visualizations and reports to communicate findings.
• Contribute to the documentation of data sources, methodologies, and analysis processes.
• Collaborate with team members on data-related projects and tasks.
• Learn and apply statistical techniques and machine learning algorithms.
• Assist in interpreting model results and their business implications.
• Participate in team meetings and contribute ideas for improving data analysis processes.
• Develop proficiency in data analysis tools and software.

Qualifications:

• Currently pursuing a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and data analysis principles.
• Familiarity with programming languages commonly used in data analysis, such as Python or R.
• Basic understanding of database querying (SQL) is a plus.
• Excellent analytical and problem-solving skills with a high level of accuracy.
• Strong attention to detail and organizational abilities.
• Effective communication skills, both written and verbal, with the ability to present findings clearly.
• Eagerness to learn and adapt to new technologies and methodologies.
• Ability to work collaboratively in a team environment.
• Prior internship or project experience in data analysis is advantageous but not required.

This is an exceptional chance for a motivated student to gain practical experience and kickstart a career in data analytics at our Columbus, Ohio, US location.

Our client is seeking a highly motivated and analytical Junior Data Analyst to join their dynamic team in **San Diego, California, US**. This role will focus on developing and implementing predictive models to drive business insights and strategic decision-making. The ideal candidate will have a strong foundation in statistical analysis, data manipulation, and a passion for uncovering trends within complex datasets. You will work closely with senior analysts and data scientists, contributing to projects that span customer behavior, market forecasting, and operational efficiency. Responsibilities include data cleaning and preparation, exploratory data analysis, building and validating statistical models, interpreting model results, and presenting findings to stakeholders. You will also be involved in the ongoing maintenance and improvement of existing analytical tools and reports. This position offers a fantastic opportunity for professional growth in a data-driven environment, with ample room for learning and advancement. The role requires a proactive approach to problem-solving and the ability to translate technical findings into actionable business recommendations. Collaboration is key, and you will be expected to work effectively within a team setting, as well as independently manage assigned tasks. A keen eye for detail and a commitment to data integrity are essential for success in this role. You will be exposed to cutting-edge analytical techniques and technologies, fostering a continuous learning culture. The ability to communicate technical concepts clearly to both technical and non-technical audiences is a significant advantage. We are looking for an individual who is eager to make a tangible impact and contribute to the success of our client's data initiatives. The role is based in our vibrant **San Diego, California, US** office, offering a blend of in-office collaboration and remote flexibility. Join us and be part of a team that values innovation, expertise, and continuous improvement.

Our client is seeking a talented and innovative AI/ML Data Scientist specializing in predictive modeling to join their cutting-edge team in **St. Louis, Missouri, US**. This hybrid role offers the opportunity to work on challenging problems at the forefront of artificial intelligence and machine learning. You will be responsible for designing, developing, and deploying advanced predictive models that drive business insights and solutions across various domains. The ideal candidate possesses a strong theoretical foundation in machine learning algorithms, statistical modeling, and data science principles, coupled with hands-on experience in building and scaling ML solutions. Your responsibilities will include data wrangling, feature engineering, model training, evaluation, and deployment using large datasets. You will collaborate closely with software engineers, product managers, and business analysts to understand project requirements and translate them into data-driven solutions. Proficiency in programming languages such as Python or R, and extensive experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) and big data technologies (e.g., Spark, Hadoop) are essential. We are looking for a creative problem-solver with a passion for extracting value from data and a proven ability to communicate complex findings to both technical and non-technical audiences. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. This role offers the chance to work with state-of-the-art technology and contribute to the development of intelligent systems that shape the future. If you are a results-oriented data scientist eager to make a significant impact, we encourage you to apply. Responsibilities include:

• Developing and implementing predictive models using machine learning algorithms.
• Performing data mining, feature engineering, and statistical analysis.
• Building, training, and evaluating machine learning models.
• Deploying models into production environments and monitoring their performance.
• Collaborating with cross-functional teams to define project requirements and solutions.
• Communicating complex analytical findings to stakeholders.
• Staying current with advancements in AI, ML, and data science.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in data science and machine learning.
• Strong expertise in predictive modeling and statistical analysis.
• Proficiency in Python/R and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with big data technologies and cloud platforms.
• Excellent problem-solving and communication skills.

Our client is seeking a highly accomplished Senior Data Scientist specializing in predictive modeling to join their innovative and fully remote team. In this crucial role, you will leverage your expertise to develop, implement, and refine advanced statistical models and machine learning algorithms that drive strategic business decisions. You will be responsible for analyzing large, complex datasets, identifying actionable insights, and translating them into robust predictive solutions. Your work will impact key areas such as customer behavior, market trends, operational efficiency, and risk assessment. Key responsibilities include data exploration, feature engineering, model selection, training, validation, and deployment. You will collaborate closely with product managers, engineers, and business stakeholders to define project requirements, interpret model outputs, and integrate solutions into production systems. The ideal candidate possesses a strong foundation in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and data mining. Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch) are essential. Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. A Master's degree or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field is required. Exceptional problem-solving skills, creativity, and the ability to communicate complex technical concepts to non-technical audiences are paramount. This role offers the opportunity to work on challenging problems and make a significant impact from the convenience of your home office, contributing to our client's strategic goals within the conceptual vicinity of Durham, North Carolina, US .

Our client is seeking a highly analytical and innovative Senior Data Scientist specializing in predictive modeling to join their cutting-edge data science team. This is a fully remote position, offering the flexibility to work from anywhere in the United States. You will be at the forefront of developing and deploying advanced machine learning models to solve complex business challenges, extract actionable insights from large datasets, and drive data-informed decision-making across the organization. The ideal candidate possesses a strong theoretical foundation in statistics and machine learning, coupled with practical experience in building and deploying production-ready models. Responsibilities:

• Design, develop, and implement sophisticated predictive models using machine learning algorithms and statistical techniques.
• Clean, process, and transform large, complex datasets from various sources to prepare them for modeling.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
• Evaluate model performance, tune hyperparameters, and conduct rigorous validation to ensure accuracy and robustness.
• Deploy machine learning models into production environments, collaborating with engineering and MLOps teams.
• Develop and maintain data pipelines and workflows for model training and inference.
• Interpret model results and translate complex findings into clear, actionable insights for business stakeholders.
• Communicate findings and recommendations through compelling visualizations and presentations.
• Stay abreast of the latest research and advancements in data science, machine learning, and artificial intelligence.
• Mentor junior data scientists and contribute to the team's technical knowledge base.
• Collaborate with product managers and business analysts to define data science project requirements and scope.
• Ensure ethical considerations and data privacy are addressed in model development and deployment.

Qualifications:

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 5+ years of professional experience in data science, with a strong focus on predictive modeling and machine learning.
• Proficiency in programming languages such as Python or R, and extensive experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong understanding of statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and model evaluation techniques.
• Experience with SQL and working with relational databases.
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Ability to work independently and collaboratively in a remote team environment.

This is an exceptional opportunity to leverage your expertise in data science and predictive modeling to make a significant impact on business strategy and outcomes, all while enjoying the freedom and flexibility of a fully remote role.

Our client is at the forefront of innovation in AI and emerging technologies, developing groundbreaking solutions that are shaping the future. They are seeking a highly skilled and visionary Lead AI/ML Engineer to join their elite team in **Boston, Massachusetts, US**. This senior role will be instrumental in designing, developing, and deploying sophisticated AI and Machine Learning models to solve complex challenges and drive significant business impact. The ideal candidate will possess deep expertise in ML algorithms, data science, and software engineering, with a passion for pushing the boundaries of artificial intelligence.

Key responsibilities will include:

• Leading the design, development, and implementation of advanced machine learning models and algorithms for predictive analytics, natural language processing, computer vision, and other AI applications.
• Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and translate them into robust ML solutions.
• Architecting and building scalable and efficient ML pipelines for data preprocessing, model training, evaluation, and deployment.
• Mentoring and guiding junior AI/ML engineers, fostering a culture of technical excellence and knowledge sharing.
• Staying abreast of the latest research and advancements in AI/ML, identifying opportunities to integrate new techniques and technologies.
• Evaluating and selecting appropriate ML frameworks, tools, and platforms to support project needs.
• Developing and implementing strategies for model monitoring, maintenance, and continuous improvement in production environments.
• Ensuring the ethical and responsible development and deployment of AI systems.
• Translating complex business problems into solvable ML tasks and communicating technical concepts effectively to non-technical stakeholders.
• Contributing to the company's intellectual property through research and development.
• Developing robust testing strategies for ML models to ensure accuracy, reliability, and performance.
• Optimizing model performance and computational efficiency.
• Leading code reviews and ensuring adherence to software engineering best practices.
• Contributing to the overall AI strategy and roadmap of the company.
• Managing project timelines and deliverables for AI/ML initiatives.

Candidates must hold a Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field. A minimum of 7-10 years of progressive experience in AI/ML engineering and development, with a proven track record of successfully deploying models into production, is required. Extensive experience with programming languages such as Python, and deep knowledge of ML frameworks like TensorFlow, PyTorch, or scikit-learn are essential. Strong understanding of data structures, algorithms, and software design principles is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable. Excellent leadership, communication, and problem-solving skills are critical for this role. Demonstrated ability to work independently and lead complex projects is required.

**Who We Are**
We're powering a cleaner, brighter future.
Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
Are you in?
**Primary Purpose**
**PRIMARY PURPOSE OF POSITION**
Apply the scientific method to extract knowledge and insights from data, which may take the form of time-series (smart-meters, smart-grid, and other IoT), structured (relational data stores), and unstructured (text and multi-media) data sets. Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making. This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions. Mine big and small data for insights, using advanced statistic and machine learning methods. Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders. Become a subject matter expert in the areas of artificial intelligence, machine learning, feature engineering, data mining, and data manipulation/storage. Demonstrate commitment to continuous learning and professional development in technical subject matter. Share knowledge with team members, and business stakeholders, and IT partners. Collect, cleanse, standardize and analyze data from a variety of internal and external sources. Produce novel insights to help inform business actions using statistical modeling and machine learning techniques on complex data-sets on the order of several terabytes or petabytes. Position may be required to work extended hours for coverage during storms or other energy delivery emergencies.
**Primary Duties**
**PRIMARY DUTIES AND ACCOUNTABILITIES**
+ Develop key predictive models that lead to delivering a premier customer experience, operating performance improvement, and increased safety best practices. Develop and recommend data sampling techniques, data collections, and data cleaning specifications and approaches. Apply missing data treatments as needed.
+ Analyze data using advanced analytics techniques in support of process improvement efforts using modern analytics frameworks, including, but not limited to; Python, R, Scala or equivalent, Spark, Hadoop file system and others
+ Access and analyze data sourced from various Company systems of record. Support the development of strategic business, marketing, and program implementation plans.
+ Access and enrich data warehouses across multiple Company departments. Build, modify, monitor and maintain high-performance computing systems.
+ Provide expert data and analytics support to multiple business units
+ Works with stakeholders and subject matter experts to understand business needs, goals and objectives. Work closely with business, engineering, and technology teams to develop solution to data-intensive business problems and translates them into data science projects. Collaborate with other analytic teams across Exelon on big data analytics techniques and tools to improve analytical capabilities.
**Job Scope**
**JOB SCOPE**
+ Support business unit strategic planning while providing a strategic view on machine learning technologies.
+ Advice and counsel key stakeholders on machine learning findings and recommend courses of action that redirect resources to improve operational performance or assist with overall emerging business issues.
+ Provide key stakeholders with machine learning analyses that best positions the company going forward.
+ Educate key stakeholders on the organizations advance analytics capabilities through internal presentations, training workshops, and publications.
**Minimum Qualifications**
**MINIMUM QUALIFICATIONS**
+ **Education:** Bachelor's degree in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Operations Research, Physics, Statistics, or related field
+ 4-7 years of relevant experience developing hypotheses, applying machine learning algorithms, validating results to analyze multi-terabyte datasets and extracting actionable insights is required. Previous research or professional experience applying advanced analytic techniques to large, complex datasets.
+ **Analytical Abilities:** Strong knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization.
+ **Technical Knowledge:** Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.). Experience working within an open source environment and Unix-based OS.
+ **Communication Skills:** Ability to translate data analysis and findings into coherent conclusions and actionable recommendations to business partners, practice leaders, and executives. Strong oral and written communication skills.
**Preferred Qualifications**
**PREFERRED QUALIFICATIONS**
+ **Education:** Masters, or PhD in a Quantitative discipline. Ex: Applied Mathematics, Computer Science, Finance, Ops Research, Physics, Statistics, or related field
+ **Experience:** Prior exposure to data structures pertaining to smart-meters, billing, or outage management systems. Prior exposure to the utilities or broader energy sector. Prior exposure to the full spectrum of data science lifecycle, including data acquisition, maintenance, processing, analysis, and communication.
+ **Analytic Abilities:** Solid understanding of relevant theories in machine learning, statistics, probability theory, data structures and algorithms, optimization, etc.
+ **Technical Knowledge:** Expert level coding skills (Python, R, Scala, SQL, etc), and experience developing in a Unix environment. Proficiency in database management and large datasets: create, edit, update, join, append and query data from columnar and big data platforms.
+ **Communication Skills:** Ability to translate executive and analytics leaders' vision and guidance into methods and analytics. Strong time management and presentation skills.
**Benefits**
**Benefits**
+ Annual salary will vary based on a candidate's skills, qualifications, experience, and other factors: $104,000.00/Yr. - $143,000.00/Yr.
+ Annual Bonus for eligible positions: 15%
+ 401(k) match and annual company contribution
+ Medical, dental and vision insurance
+ Life and disability insurance
+ Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
+ Employee Assistance Program and resources for mental and emotional support
+ Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
+ Referral bonus program
+ And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
Exelon is proud to be an equal opportunity employer and employees or applicants will receive consideration for employment without regard to: age, color, disability, gender, national origin, race, religion, sexual orientation, gender identity, protected veteran status, or any other classification protected by federal, state, or local law. If you are an individual with a disability and need an accommodation to complete the application, please email us at