predictive modeler

KNOWFINITY

<div>
 
 Summary
 
 
 
 We are hiring a
 
 Data Scientist
 
 on behalf of one of our prestigious
 
 Fortune 500 Product-Based clients in the United States
 
 . This is an exciting opportunity to work on large-scale data platforms, advanced machine learning solutions, and data-driven products used by millions of customers worldwide.
 
 
 The ideal candidate should have hands-on experience in statistical analysis, predictive modeling, machine learning, and transforming complex data into actionable business insights within a fast-paced product environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and business opportunities.
 </li>
 <li>
 Develop, validate, and deploy machine learning and predictive analytics models.
 </li>
 <li>
 Design and implement statistical models to solve real-world business problems.
 </li>
 <li>
 Collaborate with software engineers, data engineers, product managers, and business stakeholders to build data-driven solutions.
 </li>
 <li>
 Build dashboards, reports, and visualizations to communicate insights effectively.
 </li>
 <li>
 Perform feature engineering, model evaluation, and optimization for production-grade models.
 </li>
 <li>
 Develop forecasting, recommendation, classification, and clustering models.
 </li>
 <li>
 Support experimentation, A/B testing, and performance measurement initiatives.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
 </li>
 <li>
 Strong understanding of statistics, probability, and predictive modeling techniques.
 </li>
 <li>
 Experience working with structured and unstructured datasets.
 </li>
 <li>
 Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience working in a product-based company.
 </li>
 <li>
 Exposure to Generative AI, NLP, and Large Language Models (LLMs).
 </li>
 <li>
 Experience with Spark, Databricks, and big data technologies.
 </li>
 <li>
 Familiarity with MLOps tools and model deployment practices.
 </li>
 <li>
 Experience with A/B testing and experimentation frameworks.
 </li>
 <li>
 Knowledge of recommendation systems and customer analytics.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work with a Fortune 500 Product-Based organization.
 </li>
 <li>
 Exposure to enterprise-scale data science and machine learning projects.
 </li>
 <li>
 Collaborative and innovation-driven work environment.
 </li>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Long-term career growth and advancement opportunities.
 </li>
 <li>
 Access to modern technologies and data-driven decision-making initiatives.
 
 
 </li>
 </ul>
 
 Work Authorization
 
 
 
 Candidates must be legally authorized to work in the United States.
 
 
 
 Visa sponsorship is available for eligible candidates.
 
 
 
 Skills: tableau,power bi,gcp,generative ai,sql,data science,aws,azure,python,data analytics,machine learning,tensorflow
</div>

Data Scientist

Motion

<div>SUMMARY: 
Under limited supervision, the Data Scientist works closely with business stakeholders to understand how data can be used to achieve their goals. Designs data modeling processes, creates algorithms and predictive models and helps analyze the data and shares insights. Critical thinking and problem-solving skills are essential for interpreting data. Must have a passion for machine-learning and research. This position will be tasked with helping the company analyze trends to make better data-based decisions.<div> 

JOB DUTIES: 
<ul><li>Analyzes large amounts of information to discover trends and patterns.</li><li>Designs machine learning models for predictive analytics.</li><li>Presents information using data visualization techniques.</li><li>Undertakes preprocessing of structured and unstructured data.</li><li>Identifies valuable data sources and automates collection processes.</li><li>Performs other duties as assigned.</li></ul></div>

EDUCATION &amp; EXPERIENCE: 
Typically requires a bachelor's degree in Mathematics, Computer Science, Physics, Economics, Engineering, Statistics, Opersations Research, Quantitative Social Science or a related area and at least seven (7) years of related experience or equivalent combination.
<div>
KNOWLEDGE, SKILLS, ABILITIES: 
<ul><li>Basic knowledge of software development principles and architecture.</li><li>Excellent verbal and written communication skills.</li><li>Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.</li><li>Must be a team player with excellent analytical and problem solving skills.</li></ul></div>

COMPANY INFORMATION: 
Motion offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.</div>

Data Scientist, Finance

ALICE + OLIVIA

<div>
 
 Location: New York, NY or Secaucus, NJ (Hybrid)
 
 
 Decision Science Engineer (Applied Data Scientist)
 
 
 
 
 
 
 POSITION SUMMARY:
 
 
 
 ALICE + OLIVIA is hiring a Decision Science Engineer to build, operationalize, and own predictive models that improve decision making across Planning, Merchandising/Buying, Customer 360, and Inventory Management. Working primarily within Palantir Foundry as the core analytics and deployment platform, this role bridges data science and platform engineering, translating real-world commercial constraints including seasonality, product lifecycle, allocations, replenishment, promotions/markdowns, and customer behavior into practical, production-grade, human-in-the-loop models.
 
 
 
 
 
 This is a highly cross-functional role with direct, ongoing exposure to business stakeholders and end users, from planners and buyers who consume and act on model outputs, to the teams working within Foundry Workshop applications day-to-day. Understanding how outputs are used in real workflows, and staying close to the people using them, is central to how this role operates. Sitting within the IT organization and serving the full business including DTC, wholesale, planning, and supply chain, this position carries direct visibility to executive business stakeholders. This role is focused on applied data science, decision-support modeling, and model operationalization, not reporting or core data engineering, while partnering closely with Engineering, BI, and the broader Enterprise Applications team.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Design, build, and maintain predictive and statistical models supporting retail planning, buying, inventory, and demand forecasting.
 </li>
 <li>
 Operationalize models within Palantir Foundry using Code Workbook and Code Repository, working against Snowflake as the primary data source and ensuring outputs are production-grade and maintainable.
 </li>
 <li>
 Own and evolve analytics logic and assumptions embedded in planning and buying workflows.
 </li>
 <li>
 Partner with Planning, Buying, Merchandising, and DTC teams to translate business needs into model-driven insights, maintaining direct, ongoing relationships with the stakeholders and end users consuming model outputs.
 </li>
 <li>
 Collaborate with the Enterprise Applications team on Workshop app development to ensure model outputs are surfaced effectively in business-facing Foundry applications.
 </li>
 <li>
 Build models for customer segmentation, CLV, retention/churn, propensity, and campaign targeting (Customer 360).
 </li>
 <li>
 Collaborate with Engineering, who owns data pipelines and Snowflake ingestion, to ensure model inputs are reliable, well-governed, and fit for purpose without owning the underlying data infrastructure.
 </li>
 <li>
 Support human-in-the-loop workflows where planners and buyers can interrogate, override, or adjust model outputs in real time.
 </li>
 <li>
 Validate model outputs against business reality and historical performance, closing the loop directly with end users on model accuracy and relevance.
 </li>
 <li>
 Document methodologies and assumptions to support long-term ownership and institutional knowledge.
 </li>
 </ul>
 
 
 
 
 
 QUALIFICATIONS:
 
 
 <ul>
 <li>
 4 to 8+ years of experience in data science, applied analytics, or predictive modeling.
 </li>
 <li>
 Strong experience building predictive or statistical models including forecasting, optimization, regression, and classification.
 </li>
 <li>
 Proficiency in Python for data analysis, modeling, and production-grade code.
 </li>
 <li>
 Strong SQL and hands-on experience with Snowflake or equivalent cloud data warehouse.
 </li>
 <li>
 Experience with Palantir Foundry strongly preferred, including familiarity with the Foundry Ontology layer, analytics and modeling tooling (Code Workbook, Code Repository), and how model outputs are surfaced through business-facing applications. Candidates who can reason within and contribute to an existing Ontology, and who understand how the semantic data layer connects to model design, will be prioritized.
 </li>
 <li>
 Familiarity with experiment design and causal inference.
 </li>
 <li>
 Experience with time-series forecasting at scale.
 </li>
 <li>
 Retail domain experience strongly preferred, including familiarity with demand vs net sales, sell-through, markdowns, planning vs buying workflows, seasons, price groups, and store vs e-commerce dynamics.
 </li>
 <li>
 Experience working with messy, real-world data and designing models that support business judgment.
 </li>
 <li>
 Ability to reason about semantic or ontology-based data models.
 </li>
 <li>
 Strong communication and relationship skills, comfortable working directly with planners, buyers, and business stakeholders, and able to translate model outputs into decisions, not just insights.
 </li>
 <li>
 Long-term ownership mindset for maintaining and evolving models over time.
 </li>
 <li>
 Hands-on experience building or contributing to Palantir Foundry Workshop applications.
 </li>
 <li>
 Background in wholesale or multi-channel retail, including familiarity with the operational differences between DTC, wholesale, and brick-and-mortar planning cycles.
 </li>
 <li>
 Exposure to agent-based or AI-assisted analytics workflows.
 </li>
 <li>
 Experience working within a formal data governance or steerco-driven prioritization structure.
 </li>
 <li>
 Familiarity with Snowflake-native development patterns including dbt, Snowpark, or similar.
 </li>
 </ul>
 
 
 
 
 
 ADDITIONAL INFORMATION:
 
 
 
 This role sits within the IT organization, reporting to the VP of Information Technology, and operates across the full business including Planning, Merchandising/Buying, DTC, and Supply Chain. Engineering owns ETL, data pipelines, and Snowflake ingestion. BI owns reporting and dashboards. This role owns predictive modeling, decision-support analytics, and model operationalization within Palantir Foundry. Work is prioritized through a cross-functional steering committee with direct business stakeholder representation, ensuring this role has structured visibility into commercial priorities and executive-level exposure from day one.
 
 
 
 
 
 ALICE + OLIVIA is at an inflection point in how it uses data to make decisions. This role is central to that transformation, building the analytics capability that connects our Palantir Foundry investment to real commercial outcomes across every part of the business. This is not a role that maintains existing infrastructure or produces reports. It is a greenfield opportunity to own a strategic function, work directly with the teams making decisions, and build something that compounds in value over time. For the right person, it is a rare combination of technical depth, business proximity, and organizational support.
 
 
 
 
 
 $150,000 -175,000 base salary (This range represents the low and high end of the anticipated base salary range for this NY OR NJ - based position. The base salary will depend on numerous factors such as: experience and qualifications for the role, experience level, skillset, and balancing internal equity relative to other A+O employees.)
 
</div>

COBBLESTONE

<div>Employment Type: Full-time &amp; Permanent

Location: Dubai, UAE (Visa sponsorship and relocation assistance provided)

Annual Base Salary: range of $80,000 - $110,000 per annum + performance-based bonus - 0% tax environment + opportunity to join our employee share scheme

Annual Leave: 30 Calendar Days

Public Holidays: As declared by UAE Government annually (8 to 14 days)

Working Days: Monday &ndash; Friday

Probation Period: 3 to 6 Months (As per UAE Labour Law)

Health Insurance: Comprehensive Private Health Insurance (IPD, OPD &amp; Dental)

Residency Visa Sponsorship: Provided by the Company

Relocation Support: Available for candidates relocating to Dubai

End of Service Gratuity: As per UAE Labour Law 

About Cobblestone Energy

Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2018, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. 

Cobblestone Values
<ul>
<li>Excellence in Hiring &amp; Teamwork</li>
<li>Lifelong Learning Through Continuous Reflection</li>
<li>Independent Thinking Through a Meritocracy of Ideas</li>
<li>Winning</li></ul> 
 
Role Description:

We are seeking a highly motivated and talented Data Scientist to join our dynamic team. With a passion for data-driven solutions and a strong academic background, the successful candidate will play a critical role in shaping business decisions and driving operational excellence through advanced analytics, predictive modelling, and the strategic implementation of Generative AI/LLM technologies. 

What we offer in this role
<ul>
<li>A full-time, high-impact position within our dynamic Commercial team.</li>
<li>A team of exceptional colleagues, committed to continuous learning and pushing the boundaries of what's possible.</li>
<li>A career that challenges you to solve complex problems and rewards your drive for continuous innovation.</li>
<li>A unique opportunity to work on impactful projects, making independent decisions that drive real-world outcomes.</li>
<li>The chance to take full ownership of new projects, making high-impact decisions in a dynamic environment.</li>
<li>Equity participation, ensuring long-term alignment</li></ul> 
 
Key Responsibilities:
<ul>
<li>Analyse large, complex datasets to generate actionable insights that inform trading and commercial decisions.</li>
<li>Develop, deploy, and maintain predictive models to support market forecasting and trading strategy optimisation (e.g., time-series models, regression, tree-based methods).</li>
<li>Architect and implement production-ready AI/LLM solutions, such as Retrieval-Augmented Generation (RAG) pipelines or task-specific agents, integrated programmatically into analytical workflows (e.g., via APIs, LangChain, LlamaIndex).</li>
<li>Build, automate, and own end-to-end data workflows covering data ingestion, cleaning, feature generation, and model training, leveraging tools such as Python, SQL, Airflow, pandas, and workflow orchestration platforms (e.g., n8n or similar).</li>
<li>Apply advanced data science techniques, including synthetic data generation where appropriate, to improve model robustness, scalability, and operational efficiency.</li>
<li>Collaborate closely with traders and cross-functional stakeholders to translate business problems into high-quality, data-driven solutions.</li>
<li>Communicate insights and model outputs clearly and concisely, ensuring analytical work drives measurable trading and commercial impact.</li></ul> 
 
Requirements:
<ul>
<li>2-3 years of experience in data science or a related field, with a demonstrated record of achieving exceptional results.</li>
<li>Strong academic background in computer science, mathematics, statistics, or a related field</li>
<li>Outstanding problem-solving and critical thinking skills, capable of addressing complex, high-impact challenges.</li>
<li>Expertise in Python programming, with an ability to apply it to advanced data science problems.</li>
<li>Applied AI Proficiency: Demonstrated practical experience programmatically integrating LLMs (via APIs or frameworks like LangChain/LlamaIndex) into data pipelines or analytical applications.</li>
<li>Automation Focus: Proven ability to design and implement automated, end-to-end data workflows that leverage AI for efficiency gains.</li>
<li>Knowledge of machine learning algorithms and data visualization tools</li>
<li>Exceptional communication and collaboration skills, with a demonstrated ability to excel in fast-paced, cross-functional environments</li>
</ul>
This is an outstanding opportunity for a driven and talented Data Scientist to join an innovative trading company and make a significant impact on our business operations. If you possess a passion for data science and a proven track record of success, we encourage you to apply.

Note: Experience in the power trading domain is highly desirable but not essential. We value exceptional talent and the ability to learn quickly. 


Learn more about Cobblestone Energy careers: 
https://cobblestoneenergy.com/careers/

Why work with us: 
https://cobblestoneenergy.com/why-work-with-us/

Recruitment process: 
https://cobblestoneenergy.com/careers/vacancies/#process</div>

Data Scientist - Dubai, UAE

Elder Research Inc

<div>Senior Data Scientist
General Information
Requisition # 717
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service&rsquo;s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
<ul><li>Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration</li>
<li>Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation</li>
<li>Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science&ndash;driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders</li>
<li>Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results</li>
<li>Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact</li>
<li>Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment</li>
<li>Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills</li>
</ul>
Minimum Qualifications:
<ul><li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences</li>
<li>5-10+ years of experience in data science, analytics, or a related technical field</li>
<li>Experience using version control systems (e.g., Git) and collaborative development practices</li>
<li>Strong understanding of relational databases and SQL</li>
<li>Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone</li>
<li>Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges</li>
<li>Willingness to travel and work on-site at client locations as required by project needs</li>
</ul>
Preferred Qualifications:
<ul><li>Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)</li>
<li>Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li>
<li>Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities</li>
<li>Experience with containerization and environment management (e.g., venv, conda)</li>
<li>Experience operating in secure or remote government environments, including use of bash and command-line tools</li>
</ul>
Clearance Requirements:
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
Physical Requirements:
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

Senior Data Scientist

The Home Depot

Position Purpose: The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. Key Responsibilities: 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports: This position typically reports to Manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 4+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Proficient utilizing statistical techniques to identify key insights that help solve business problems Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated experience in predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 3 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Data Scientist - Network Strategy

Banner Health

<div>Department Name:
Medicare Stars Strategy
Work Shift:
Day
Job Category:
Information Technology
Health care is constantly changing, and at Banner Health, we are at the front of that change. We are leading health care to make the experience the best it can be. We want to change the lives of those in our care &ndash; and the people who choose to take on this challenge. If changing health care for the better sounds like something you want to be part of, we want to hear from you.
In the Reporting and Analytics group, it's all about the data. On this team, you'd be using your critical thinking skills to work through processes, reporting, and analysis to make Banner a better place.
As a Data Scientist I you will be responsible for providing data and analytic support for the business. This includes working with large databases and applying quantitative methodologies using advanced analytical tools. You will perform substantive, comprehensive, and quantitative analyses to produce data-driven solutions and recommendations to position the company competitively relative to outcomes, operations and profitability. This position will work with a wide range of stakeholders and functional teams to improve business outcomes. 
 
The Registered Data Scientist I position is a fully remote position with a work schedule of Monday - Friday 8am - 5pm. Candidates must live in the state of AZ to be considered.
Your pay and benefits (Total Rewards) are important components of your Journey at Banner Health. Banner Health offers a variety of benefit plans to help you and your family. We provide health and financial security options, so you can focus on being the best at what you do and enjoying your life.
Banner Plans &amp; Networks (BPN) is an accountable care organization that joins Arizona's largest health care provider, Banner Health, and an extensive network of primary care and specialty physicians to provide the most comprehensive healthcare solutions for Maricopa County and parts of Pinal County. Through BPN, known nationally as an innovative leader in new health care models, insurance plans and physicians are coming together to work collaboratively to keep members in optimal health, while reducing costs.
POSITION SUMMARY 
This position is responsible for providing data and analytic support for a specific subject matter area. This includes working with large databases and applying quantitative methodologies using advance analytical tools. This position performs substantive, comprehensive, and quantitative analyses to produce data-driven solutions to position the company competitively relative to outcomes, operations and profitability. This position may also be expected to troubleshoot data issues at a complex level and appropriately escalate issues to other resources, as needed. This position will work with a wide range of stakeholders and functional teams to improve business outcomes. 
 
CORE FUNCTIONS 
1. Performs standard assignments within own job functions. Expanding knowledge of fundamental theories, practices, procedures, and concepts within the job&rsquo;s function. 
 
2. Identifies and solves a range of problems in straightforward situations; analyzes possible solutions and assesses each using established procedures. Analyzes developments in the field for others. 
 
3. Responds to non-standard requests from internal and/or external customers; investigates with assistance from others, as needed. Interacts primarily with department peers, supervisor, internal customers, patients and physicians. 
 
4. Makes decisions within guidelines and policies that impact own priorities and allocation of time to meet deadlines. 
 
MINIMUM QUALIFICATIONS 
 
Knowledge typically obtained with a Master&rsquo;s degree in the field of Statistics, Mathematics, Computer Sciences, Health Services Research, Process Engineering, Business or related field. 
 
A minimum of three to four years of hands-on experience or equivalent with inferential statistics, A/B testing, machine learning, predictive modeling and statistical analysis techniques in a healthcare or similar environment. Must have experience in working with cross functional departments in order to serve as a liaison and provide relevant guidance or leadership. Must have project management skills and ability to work independently, manage large and multiple projects. Very good communication, interpersonal and critical thinking skills are required. Must have strong technical skills (SQL, SAS, Tableau, etc.). 
 
PREFERRED QUALIFICATIONS 
 
Knowledge of subject matters such as process optimization, clinical workflows, population health, public health, disease prediction, readmissions, imaging analytics and in/out-patient monitory and alerting is preferred. Masters or PhD in Math, Statistics, or related technical field is preferred. Additional related education and/or experience preferred. 
 
Additional related education and/or experience preferred.
Estimated Pay Range:
$35.37 - $58.95 / hour Banner Health is committed to pay equity and transparency. The posted compensation range is a reasonable estimate that extends from the lowest to the highest pay Banner Health in good faith believes it might pay for this particular job, based on the circumstances at the time of posting. This range is based on possible base salaries and does not include the value of our total rewards package. Actual pay determined at offer will be based on years of relevant work experience, education, certifications, skills, and geographic location, along with a review of current employees in similar roles to ensure pay equity is achieved and maintained.
EEO Statement:
EEO/Disabled/Veterans
Our organization supports a drug-free work environment.
Privacy Policy:
Privacy Policy</div>

Data Scientist I

Search 189+ Predictive modeler jobs near you this June. New roles added regularly across leading industries. Apply today.

189 predictive modeler jobs Near Me

Data Scientist

Data Scientist, Finance

Data Scientist

Data Scientist - Dubai, UAE

Senior Data Scientist

Data Scientist - Network Strategy

Data Scientist I