Predictive Analytics

Predictive Analytics Data Jobs

33 jobs found

Today

Consumer Banking Data Scientist Director - American Dream

JPMorganChase Columbus, OH

Columbus, OH

Today

$162k - $245k/yr Full time Marketing Analytics Artificial Intelligence

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Job Description

Senior analytics leader will direct the analytics program for the American Dream Initiative within JPMorganChase's Consumer Banking Customer Data & Analytics team, onsite in Columbus, Ohio.

Responsibilities

Shape and lead the customer analytics strategy for the American Dream Initiative, aligning measurement, prioritization, and outcomes with core business goals.
Build, mentor, and manage a high-performing analytics team to deliver impactful insights across the customer lifecycle, performance metrics, and program effectiveness.
Create and govern a performance measurement framework with KPIs, executive reporting, experimentation, and impact assessment to drive data-informed decision making and program optimization.
Collaborate with Product, Marketing, Research, and business partners to craft data-driven engagement strategies that improve acquisition, deepening, and retention.
Apply emerging AI, machine learning, and analytics capabilities to develop innovative solutions that enhance customer outcomes and advance program objectives.
Translate complex analyses into clear narratives and recommendations for senior leaders, balancing strategic ambition with operational feasibility, risk discipline, and measurable results.

Requirements

Master’s degree or PhD in a quantitative field and 10+ years of analytics experience.
Proven senior leadership experience building and developing multidisciplinary analytics teams within a large enterprise.
Deep expertise in data science and analytics, including hands-on work with predictive modeling, statistical analysis, segmentation, and experimentation.
Track record of delivering AI, ML, and analytics solutions that drive measurable business outcomes, ideally in financial services or consumer products.
Strong business acumen with the ability to frame analytical problems in business terms and translate insights into executive-level recommendations.
Experience leading analytics across multiple concurrent domains, balancing near-term delivery with long-term capability development.
Exceptional stakeholder management and communication skills, with a history of influencing senior leaders and cross-functional partners.
Proficiency in Python and/or R, and experience with modern data platforms such as Snowflake or Databricks.
Solid project and program management capabilities, including defining success metrics, managing risks, and driving execution across complex initiatives.

Technologies

Python
R
Snowflake
Databricks

Benefits

Base salary determined based on the role, experience, skill set and location
Commission-based pay and/or discretionary incentive compensation, paid in cash and/or forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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Today

Data Scientist

US National Oceanic and Atmospheric Administration Boulder, CO

Boulder, CO

Today

$75k - $137k/yr Full time Python Analytics Arcgis Online

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Job Description

NOAA is seeking a Data Scientist to build models, analyze weather and ocean data, and create visualizations that support decision makers.

Location: Boulder, CO onsite • Salary: USD 74,678 - 137,128 per year • Education: Bachelor's degree in mathematics, statistics, computer science, data science or related field • Experience: 1 year minimum

Responsibilities

Serve as a weather and ocean subject matter expert to define, track, and share requirements for user needs and research, observation, and service needs related to new decision support products and services for decision makers.
Collaborate with NOAA Line Offices, Laboratories, and Programs to improve operational service provision, research transition, and integration of weather and ocean data to support user decision making.
Analyze complex weather and ocean datasets (geospatial, time series) to develop models, predictions, and insights using desktop software (R, Python, ArcGIS Pro) and web platforms (Esri Notebooks, ArcGIS Online, Jupyter Notebooks, Google Earth Engine). Design data management processes for interoperable formats (NetCDF) and data services (ERDDAP).
Assist in developing engaging visualizations of weather and ocean data and analyze with modern interactive and web-based approaches (Leaflet, R Shiny, Plotly Dash, and similar tools).

Requirements

U.S. Citizens only.
Suitable for Federal employment as determined by a background investigation.
Must be registered for Selective Service, if applicable (www.sss.gov).
Qualification requirements must be met by the closing date of the announcement.
One year probationary period may be required.
Relocation expenses (PCS) are not authorized.
Moderate Risk Security Clearance required.
Background investigation will be required; continued employment contingent on successful completion and favorable adjudication. Failure to meet requirements may result in termination.

Technologies

Python
R
ArcGIS Pro
Esri Notebooks
ArcGIS Online
Jupyter Notebooks
Google Earth Engine
NetCDF
ERDDAP
Leaflet
R Shiny
Plotly Dash

This job is open to

The public: U.S. Citizens, Nationals or those who owe allegiance to the United States.
Career transition (CTAP, ICTAP, RPL): Federal employees whose job, agency, or department was eliminated and are eligible for priority over other applicants.

Open to clarification from the agency

Open to the Public and Career transition (CTAP, ICTAP, RPL).

Additional Information

ICTAP and CTAP candidates may receive selection priority if well qualified. See Career Transition Resources for details.
ICTAP applicants must submit specific documentation, including relevant RIF notices or certification from the former agency, SF-50, performance appraisals, and other eligibility materials.
CTAP applicants must submit documentation such as RIF notices, CES, SF-50, and related eligibility documents.
Reasonable Accommodation requests for the USA Hire Assessments may be submitted if you have a disability; requests must be received before starting assessments.
NOAA participates in E-Verify to verify employment eligibility.
The Federal Government is an Equal Opportunity Employer; hires are not based on race, sex, color, religion, or national origin.

How to apply

Read the entire announcement and all instructions before applying. Submit all required questionnaires, assessments, and documents by the closing time (11:59 PM ET) to be considered.
Click the blue "Apply Online" button to begin.
If you are not a USAJOBS user, create an account; if you are a registered user, log in to proceed.

Required Documents

Resume: Up to two pages; include job title(s), duties, starting and ending dates; indicate full-time or part-time and weekly hours if applicable. Consider using the USAJOBS Resume Builder to ensure all required information is included.
Unofficial Transcripts: Proof of higher education is required for this position.
Special Instructions for Foreign Education: If education was completed outside the U.S., provide an equivalency evaluation letter from an accredited organization.
CTAP and ICTAP documentation, if applicable: Include the required notices and SF-50 documentation as detailed in the announcement.

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Today

AI Data Scientist Manager

PwC Tampa, FL

Tampa, FL

Today

$99k - $297k/yr Full time Manager Python Advanced Analytics

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Job Description

PwC is seeking an AI Data Scientist Manager to lead data science initiatives within the Data and Analytics Engineering practice. The role combines guiding teams, delivering AI and ML solutions, and turning raw data into actionable business insights that inform decision-making. This is a full-time onsite position based in Tampa, FL, with locations across Tampa, Boston, and New York.

Responsibilities

Lead data science initiatives to convert raw data into actionable insights that support informed decisions.
Guide teams in applying advanced analytics and statistical methods to solve complex business problems.
Develop and implement data models and algorithms to improve predictive capabilities.
Oversee the creation and maintenance of data pipelines and data lakes for large-scale processing.
Apply machine learning and deep learning techniques to foster innovation and strengthen data-driven strategies.
Collaborate with stakeholders to identify opportunities for leveraging data to grow the business.
Coach team members to enhance skills in data science workflows and troubleshooting.
Validate data quality and integrity within analytics frameworks to ensure reliable insights.
Encourage adoption of innovative technologies and methods in data science projects.
Manage project timelines and deliverables to align with client expectations and objectives.
Apply statistical analysis, machine learning, data preparation, experimentation, and model evaluation to develop and validate AI/ML solutions.
Use Python, data science libraries, model validation methods, and modern AI/ML approaches (including generative AI where relevant) to communicate insights to business and technical stakeholders.
Demonstrate proficiency in data science algorithms and workflows, and employ ML and DL techniques effectively.
Excel in complex data analysis and predictive modeling while managing data pipelines and ensuring data quality.
Leverage programming languages for data engineering tasks and embrace change to foster innovation in projects.

Requirements

Bachelor's degree required
Minimum of 4 years of experience

Technologies

Python

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

Job Details

Job ID: 738318WD
Category: Data and Analytics Engineering
Time Type: Full time
Specialty/Competency: Data Science
Level: Manager
Travel Requirements: Up to 20%
Locations: Tampa, Boston, New York

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Today

AI Data Scientist Senior Associate

PwC Tampa, FL

Tampa, FL

Today

$72k - $212k/yr Full time Advanced Analytics Analytics Artificial Intelligence

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Job Description

PwC is hiring an AI Data Scientist Senior Associate in Tampa, FL onsite, offering a salary range of USD 72,000 - 212,000 per year and opportunities to support client solutions across Tampa, Boston, and New York with travel up to 20%.

Responsibilities

Apply advanced analytics and statistical methods to draw insights from large datasets
Design and implement robust data solutions that convert raw data into actionable outcomes
Perform exploratory and descriptive analyses to inform strategic decisions
Use machine learning algorithms and predictive modeling to address complex business problems
Create data visualizations that clearly communicate insights and support data driven decisions
Collaborate with clients to understand data needs and deliver tailored solutions
Manage data pipelines and ensure data quality and integrity throughout analyses
Apply data science workflows and troubleshooting techniques to optimize performance
Commit to ongoing learning to deepen technical skills and stay current with emerging technologies
Mentor junior team members and foster a collaborative team environment
Develop and validate AI/ML solutions using statistical analysis, data preparation, experimentation, and model evaluation
Utilize Python and data science libraries, institute model validation methods, and leverage modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to stakeholders
Demonstrate proficiency in data science algorithms and workflows
Apply machine learning and deep learning techniques effectively
Excel in complex data analysis and predictive modeling
Leverage experience with data engineering and data pipelines
Apply knowledge of natural language processing and neural networks
Navigate ambiguity while building strong client relationships

Requirements

Bachelor's degree required
2 years of experience required

Technologies

Python

Benefits

Annual discretionary bonus
Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

What Sets You Apart

Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

Travel Requirements

Up to 20% travel

Locations

Tampa, FL
Boston, MA
New York, NY

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Today

Risk Adjustment Analytics Data Scientist

Deloitte Arlington, VA

Arlington, VA

Today

$122k - $241k/yr Full time Actuarial Analytics Big Data

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Job Description

Risk Adjustment Analytics Data Scientist supports risk adjustment initiatives through analytics, data quality assessment, actuarial analysis, and predictive modeling.

Responsibilities

Conduct exploratory analytics including data profiling, KPI analysis, filtering logic, and cohort segmentation, providing analytical support to validate business questions.
Analyze very large datasets to identify outliers and compute utilization rates across multiple geographies.
Provide advanced actuarial analysis support to help clients research, design, and demonstrate innovative models and demonstrations.
Carry out predictive data analyses to forecast utilization or enrollment seasonality.
Evaluate data quality standards with project leadership to define what constitutes a high‑quality dataset, checking referential integrity, conformity to expected values, and completeness.
Present findings and analyses clearly to project teams and client leadership.

Requirements

Bachelor's degree required.
Ability to obtain and maintain the required Public Trust clearance.
8+ years of experience in data science, data analysis, or data engineering functions.
5+ years of advanced Python experience for data manipulation and analysis.
5+ years of experience with Databricks for data engineering.
2+ years of experience in Medicaid/Medicare analysis, rules, and compliance.
Ability to travel 10-15% on average, based on client needs and engagements.
Legally authorized to work in the United States without employer sponsorship now or in the future.

Technologies

Python
Databricks
SQL

Benefits

Benefits package that is competitive for project‑focused professionals
Discretionary annual incentive program

The Team

Deloitte's Government & Public Services GPS practice serves federal, state, and local government clients as well as public higher education institutions. The team brings people, ideas, technology, and outcomes to help clients anticipate disruption and fulfill their mission promises.

The Project Talent Model

The Project Talent Model aligns specialists with current client needs. Team members focus on delivering services to clients without expectations related to business development or promotion. Employment is tied to project assignments, with a benefits package competitive for project‑focused professionals.

The Wage Range

The disclosed wage range reflects various factors including skill sets, experience, training, licensure, and organizational needs. The range may not account for geographic differentials.

Other Statements

You may be eligible to participate in a discretionary annual incentive program, subject to program rules, with awards based on individual and organizational performance.

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Today

Sr. Principal Data Scientist

Warner Bros. Discovery Atlanta, GA

Atlanta, GA

Today

Full time Senior Analytics Artificial Intelligence

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Job Description

This onsite, Atlanta-based opportunity offers a path to shape enterprise-scale AI and ML systems across Warner Bros. Discovery's streaming, advertising, and content platforms. You will influence technical direction, drive high-impact AI solutions, and collaborate with data engineering, platform, and product teams. Expect opportunities to mentor senior data scientists, contribute to internal AI communities, and elevate governance and responsible AI practices while operating within a cloud-first data ecosystem.

Responsibilities

Serve as one of the company’s most senior technical individual contributors in data science and machine learning.
Lead end-to-end design and deployment of advanced ML systems across content intelligence and metadata enrichment, audience modelling and personalization, forecasting, optimization and experimentation, and advertising intelligence and monetization analytics.
Define technical direction and standards for complex ML implementations without direct people management responsibilities.
Design and implement state-of-the-art models including large-scale recommender systems, time-series forecasting and probabilistic models, causal inference, experimentation and uplift modelling, NLP, generative AI and multimodal ML, plus computer vision and video intelligence pipelines.
Apply rigorous statistical thinking, disciplined experimentation, and scientific validation to all solutions.
Act as the final technical reviewer for high-risk or high-impact ML solutions.
Architect production-grade ML systems integrated with Warner Bros. Discovery’s cloud data ecosystem (AWS, Snowflake, GCP).
Define best practices for feature engineering and feature stores, model lifecycle management and MLOps, CI/CD for ML, model monitoring and drift detection, and reproducibility, governance, and responsible AI.
Partner closely with data engineering, platform, and product engineering teams to ensure scalable and resilient delivery.
Own and deliver mission-critical AI solutions across content performance prediction, ratings intelligence, marketing attribution and lifecycle analytics, search/discovery/ranking, ad load optimization and pricing intelligence, and operational forecasting and automation.
Translate complex modelling outputs into clear, executive-ready insights that inform decision making.
Serve as a trusted technical advisor to senior leaders across streaming, content, ad sales, marketing, and technology.
Communicate complex ML concepts with clarity and credibility to non-technical stakeholders.
Influence enterprise AI roadmaps, architectural decisions, and investment priorities through expertise and credibility.
Mentor senior and staff-level data scientists through technical guidance, design reviews, and deep problem-solving.
Contribute to internal AI communities of practice, technical forums, and standards bodies.
Elevate overall engineering and scientific rigor across the Data Science organization.

Requirements

Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, Operations Research, or related fields.
18–20 years of total experience, including 13–15 years in Data Science/ML with hands-on technical leadership.
Proficiency in predictive modeling, optimization, and advanced ML techniques.
MLOps expertise and experience deploying large-scale models.
Strong familiarity with modern cloud ecosystems (AWS, GCP, Snowflake).
Proficiency in Python, PyTorch, TensorFlow, SQL, and relevant ML frameworks.
Experience in experiment design, causal inference, and statistical modeling.
Demonstrated experience in Media & Entertainment, streaming, digital advertising, or consumer intelligence.
Proven track record of delivering enterprise-impact through AI solutions.
Exceptional communication skills with the ability to influence executives and inspire technical teams.

Technologies

AWS
Snowflake
GCP
Python
PyTorch
TensorFlow
SQL

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1d ago

Data Scientist Supervisor

Heluna Health Alhambra, CA

Alhambra, CA

1d ago

$9,853 - $13,278/mo Full time Manager Advanced Analytics Analytics

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Job Description

The Data Scientist Supervisor will lead a dedicated team within the DHS Data & Analytics Unit, guiding advanced analytics projects, machine learning initiatives, and the development and deployment of predictive models to inform data-driven decision-making. This role provides technical leadership and mentorship to foster innovation and operational efficiency.

Location and Compensation

Location: Alhambra, CA (hybrid)

Salary: USD 9,853 - 13,278 per monthly

Responsibilities

Lead and mentor data scientists, promoting continuous learning and professional growth.
Oversee the development of machine learning models and analytical solutions aligned with business needs.
Collaborate with engineering teams to ensure scalable, efficient, and accurate data pipelines.
Establish and enforce best practices in data science methodologies, model validation, and documentation.
Drive the creation of predictive, prescriptive, and diagnostic models to address complex business challenges and optimize decisions.
Produce high-quality, clear reports and dashboards; translate complex findings for technical and non-technical stakeholders; utilize advanced visualization to convey results to leadership; define metrics and KPIs to measure initiative impact.
Engage with business leaders to define data-driven strategies and deliver actionable insights; translate technical concepts for non-technical audiences; partner with IT, engineering, and business teams to embed data science into operational processes.
Pursue continuous improvement and research in data science techniques, staying current with industry trends; lead initiatives exploring new methods and tools; enhance data science workflows and methodologies across the organization.

Requirements

Master’s degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Six or more years of experience in data science, with at least two years in a leadership role.
Extensive hands-on experience in machine learning, AI, and predictive modeling; proven track record of leading and mentoring data science teams.
Successful clearance through the Live Scan process with the County of Los Angeles.
Advanced programming skills in Python, R, and SQL for model development and data processing.
Expertise in cloud computing (AWS, Azure, GCP) and big data technologies.
Strong experience with data visualization tools (Tableau, Power BI) for storytelling and reporting.
Deep knowledge of data engineering concepts, ETL processes, and model deployment.
Proven ability to lead data science projects from ideation through implementation.
Excellent communication skills to present complex insights to both technical and non-technical audiences.
Experience mentoring junior data scientists and fostering a data-driven culture.
Solid understanding of agile methodologies and project management principles.
Commitment to innovation and staying at the forefront of industry trends.

Technologies

Python
R
SQL
AWS
Azure
GCP
Tableau
Power BI

Physical Demands

Stand: Not applicable
Walk: Not applicable
Sit: Frequently
Handling / Fingering: Constantly
Reach Outward: Constantly
Reach Above Shoulder: Not applicable
Climb, Crawl, Kneel, Bend: Not applicable
Lift / Carry: Occasionally - Not applicable
Push/Pull: Occasionally - Not applicable
See: Constantly
Taste / Smell: Not Applicable

Work Environment

Hybrid

EEOC Statement

It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age, national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.