predictive modeler

Automobile Club of Missouri

The Lead Actuarial Predictive Modeler creates predictive models with a primary focus on pricing segmentation and lifetime value. This role actively designs, develops, and implements actuarial pricing models and predictive segmentation strategies, applying established actuarial theory alongside advanced statistical and machine learning techniques. The Lead Actuarial Predictive Modeler works directly with loss cost models, including developing new rating features as well as acquisition, retention and conversion models to support accurate, competitive, and financially sound pricing decisions. This role drives complex, end-to-end pricing initiatives—from exploratory analysis and model development through governance, implementation, and monitoring. The Lead Actuarial Predictive Modeler partners closely with Actuarial, Product, Underwriting, and IT teams to translate business objectives into actuarially defensible pricing solutions, ensure regulatory compliance, and support timely rate filings. This position is deeply involved in execution, managing accelerated timelines, maintaining pricing discipline, and leading the delivery of high-quality results.
 
Job Duties
 
Personally build predictive models with focus on the most difficult and complex projects. Ensure solutions built meet the strategic needs of our organization as well as any regulatory or internal parameters.
 
Lead design of models best-suited for specific tasks and ensure analytic efforts are executed correctly. Create execution plans and assist predictive modelers in building robust and predictive models.
 
Identify and propose new technologies and tools that could benefit the Predictive Modeling and Analytics business unit.
 
Lead communication of project results/challenges to business partners in ways they can understand. Proactive communication of delays to planned efforts.
 
Mentor team members to assist with development, training, and career pathing
 
Ensure all projects have proper documentation taking into account potential regulatory, legal, or business concerns.
 
Able to act autonomously. The Senior Modeler must have an advanced knowledge of ratemaking, actuarial methods and methodologies as well as predictive modeling and data science methods and how those methods can be properly applied across different projects.
 
Qualifications
 
Masters Equivalent combination of education and experience Required
 
7-9 years Experience building and deploying predictive models in an insurance environment required
 
7-9 years Actuarial Experience preferred Preferred
 
Master's degree in Actuarial, Statistical, or Data Science field (or equivalent combination of education and experience) required
 
Demonstrated success implementing predictive modeling solutions for insurance use cases
 
Strong SQL skills
 
Strong Python skills preferred with other modeling tools and softwares a plus
 
Ability to understand the big picture and drive the initiatives the lead to completion of the overall big picture
 
Ability to work in cross-functional/departmental groups and keep multiple moving pieces straight
 
Ability to communicate complex topics clearly to business leaders
 
Mentor and assist predictive modelers in their respective functions and responsibilities.
 
Fellow of Casualty Actuarial Society - Casualty Actuarial Society Preferred
 
Associate of Casualty Actuarial Society - Casualty Actuarial Society Preferred
 
#LI-DF1
 
The starting pay range for this position is: 
$145,900.00 - $194,600.00
 Additionally, for full time positions, you will be eligible to participate in our incentive program based upon the achievement of organization, team and personal performance.
 .
 
Remarkable benefits: 
<ul>
<li>Health coverage for medical, dental, vision</li>
<li>401(K) saving plans with company match AND Pension</li>
<li>Tuition assistance</li>
<li>Floating holidays and PTO for community volunteer programs</li>
<li>Paid parental leave</li>
<li>Wellness programs</li>
<li>Employee discounts (membership, insurance,</li>
</ul>
travel, entertainment, services and more!)
 
Auto Club Enterprises is the largest club within the national AAA federation. We have nearly 17,000 employees in 24 states helping more than 18 million members. The strength of our organization is our employees. Bringing together and supporting different cultures, backgrounds, personalities, and strengths creates a team capable of delivering legendary, lifetime service to our members. When we embrace our diversity – we win. All of Us! With our national brand recognition, long-standing reputation since 1900, and constantly growing membership, we are seeking career-minded, service-driven professionals to join our team.
 
“Through dedicated employees we proudly deliver legendary service and beneficial products that provide members peace of mind and value.”
 
AAA is an Equal Opportunity Employer
 
Our organization participates in E-Verify
 
The Automobile Club of Southern California will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance (FCIHO), the Unincorporated Los Angeles County (ULAC) regulation, and the California Fair Chance Act (CFCA).

Lead Actuarial Predictive Modeler

MANTECH

<div>MANTECH seeks a motivated, career- and customer-oriented Data Scientist to join our innovative team in Ashburn, VA. This is a hybrid position with 2 days onsite and 3 days remote. 
Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of &ldquo;big data&rdquo; solutions to promote efficient trade and travel. These solutions provide CBP personnel with additional tools to evaluate potential threats from legitimate trade and travel. 
Responsibilities include but are not limited to:<ul><li>
Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation).</li><li>
Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation.</li><li>
Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.</li><li>
Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching.</li></ul> 
Minimum Qualifications:<ul><li>
HS Diploma/GED and 6-15 years or AS/AA and 4-13 years or BS/BA and 2-7 years or MS/MA/MBA and 0-5 years or PhD/Doctorate and 0-3 years</li><li>
Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems</li><li>
Experience with programming languages including: R, Python, Scala, Java.</li><li>
Experience with SQL programming</li><li>
Experience constructing and executing queries to extract data in support of EDA and model development</li><li>
Experience with unsupervised and supervised machine learning techniques and methods</li><li>
Experience performing data mining, analysis, and training set construction</li></ul>
Preferred Qualifications<ul><li>
Proficiency with statistical software packages including SAS, SPSS Modeler, R, WEKA, or equivalent</li><li>
Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc.</li><li>
Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc.</li><li>
Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named entity matching, deduplication/ disambiguation)</li><li>
Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, Tableau, SAS Visual Analytics, PowerBI)</li><li>
Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop)</li></ul> 
Clearance Requirements:<ul><li>
Must be a U.S. citizen with the ability to obtain DHS CBP suitability prior to starting this position.</li></ul> 
Physical Requirements:<ul><li>
The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations.</li></ul></div>

Data Scientist

Infosys

<div>In the assigned Job Role of Data Science Consultant 2, your Area Of Responsibility will be as below: 
<ul><li>Develop data preparation tasks, while identifying patterns or anomalies.</li><li>Ensure data readiness for advanced modeling.</li><li>Develop models for complex use cases (e.g., forecasting models, LLM-based solutions), while refining algorithms to meet business needs, and ensure smooth deployment into scalable, production-ready solutions.</li><li>Conduct testing and optimize algorithms for performance, reliability, and scalability, while providing guidance to team members in best practices.</li><li>Design and develop predictive models and data-driven analyses to address business challenges.</li><li>Build, evaluate, and deploy models, standardize code, and contribute to knowledge management.</li><li>Leverage tools like SAS and R/Python to create reusable customizations for non-ML, ML, and deep learning algorithms, while enhancing analytics including LLMs, and create innovative, cost-effective solutions.</li><li>Define analytics problems for projects; execute visualization, analysis, and predictive modeling under guidance.</li><li>Proactively maintain models and implement improvements for accuracy and reliability.</li><li>Apply governance controls to mitigate risks and ensure compliance.</li><li>Analyze performance trends, recommend improvements, and document discrepancies for escalation.</li><li>Maintain comprehensive documentation standards, while participating in knowledge transfer sessions.</li><li>Participate in discussions with stakeholders to refine requirements, provide insights, and guide implementation of models.</li><li>Apply the predefined quality measurement framework at an individual task level in the project.</li><li>Deploy complex analytics tools or multi-system integration, while validating deployment success.</li><li>Participate in developing scripts or templates for repeated deployments tasks.</li><li>Contribute to analytic solutions, IP asset creation, and training initiatives.</li><li>Contribute to thought leadership such as papers, innovative non-ML, ML, deep learning or LLM models, and proofs of concepts.</li><li>Participate in and deliver analytics training, while contributing to content creation.</li><li>Provide input for segment and unit-level business plans.</li></ul> 
 
 
 
Your contribution to the team: 
 
<ul><li>Deliver scalable, high-quality analytics solutions aligned to business needs.</li><li>A knack for optimization, deployment and performance improvement of models.</li><li>The ability to drive innovation through advanced analytics, automation and thought leadership.</li><li>Enable team growth through knowledge sharing, training and standardization.</li><li>Support business planning with data-driven insights.</li></ul></div>

AI Engineer Analytics

Insight Global

<div>
 
 
 Openings: 1
 
 
 
 
 Location: Charlotte, NC, 9300 Arrowpoint Blvd.
 
 
 
 
 Duration: 8-month contract
 
 
 
 
 Interview: Two rounds &ndash; Webex for 30 minutes then onsite panel
 
 
 
 
 
 
 
 Job Overview
 
 
 
 
 
 
 As a Data Scientist, you are responsible for developing data-driven solutions to Charter&rsquo;s business problems. You utilize analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires your strong command of statistical techniques and machine learning algorithms, as well as your demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Building predictive models
 </li>
 <li>
 Estimate the long-term value of customers using regression models or survival analysis
 </li>
 <li>
 Develop recommendation systems for cross-sell or upsell
 </li>
 <li>
 Provide actionable insights to marketers and execs
 </li>
 <li>
 Knowing MPC
 </li>
 <li>
 SQL
 </li>
 </ul>
 
 
 
</div>

OCT Consulting LLC

<div>Junior Data Scientist / Sr Analyst
OCT Consulting is a business management and technology consulting firm that supports Federal Government clients. We provide consulting services in the areas of Program and Project Management, Acquisition/Procurement, Data Analytics, and Information Technology.
Responsibilities and Duties
OCT currently has an opening for a Junior Data Scientist to support an existing federal client with data analysis and predictive model development on the Databricks platform.
Day to day responsibilities include:<ul><li>
Data cleaning and ETL development with SQL and Python</li><li>
Data analysis using SQL and Python</li><li>
Building pipelines in Databricks</li><li>
Building visualizations with Databricks</li></ul> 

Requirements 
<ul><li>
Must be a U.S. Citizen.</li><li>
Minimum B.S. (M.S. preferred) in Mathematics, Statistics, Computer Science, or similar</li><li>
Minimum 3 years of professional experience</li><li>
Familiarity with FAIR principles, data governance, and AI ethics.</li><li>
Hands-on experience with Databricks features such as Unity Catalog setup, privilege models, and workspace administration required.</li><li>
Databricks certifications are preferred</li><li>
Strong documentation, analytical, and communication skills.</li><li>
Location: Hybrid, with 2 days/week in the McLean, VA office</li></ul> 

Benefits 
OCT offers competitive compensation packages and a full suite of benefits which includes:<ul><li>
Medical, Dental, and Vision insurance</li><li>
Retirement savings 401K plan provided by an industry leading provider with 3% employer contributions of the employee&rsquo;s gross salary</li><li>
Paid Time Off and Standard Government Holidays</li><li>
Life Insurance, Short- and Long-Term disability benefits</li><li>
Training Benefits</li></ul>
Salary Range: $80k - $110k commensurate with experience, skills, and education.
About OCT Consulting
OCT Consulting LLC is a Small Business (SB) providing professional services and information technology solutions to the Federal government and commercial clients. Founded in 2013, we bring the agility of operations and a management team with a track record of leading successful engagements at major Federal government agencies. 
 
At OCT we believe in creating a work environment where employees can thrive based on their abilities, skills, and achievements. We are dedicated to providing career growth and professional development based on individual merit and fostering a workplace where everyone&rsquo;s contributions are valued and recognized.</div>

Data Scientist / Sr Analyst (0030)

Pharmaceutical Strategies Group LLC

<div>Pharmaceutical Strategies Group (PSG) relentlessly advocates for clients as they navigate complex and ever-changing drug cost management challenges. Our mission, as we partner together with our clients, is to develop innovative drug management solutions that deliver exceptional insights with financial and clinical value.

PSG, an EPIC Company, is fueled and driven by capable, committed people who share common beliefs and values and &quot;bring it&quot; every day. For over 30 years PSG has been leading the way in pharmacy intelligence and growing as a result. This means we have opportunities for you to join our amazing team of talented individuals! 


JOB OVERVIEW:

Artemetrx is PSG's robust data and analytics platform that drives measurable financial results for clients through advanced healthcare data, reporting, and analytics. The Data Scientist will support the continued evolution of Artemetrx by helping develop, implement, and scale analytical capabilities that improve client decision-making, identify opportunities for cost and utilization management, and support the next generation of AI-enabled drug management tools.

This role is designed for a highly analytical, curious, and technically capable individual who can work with a variety of healthcare data sets, including medical and pharmacy claims data, to uncover insights, build predictive models, and support data-driven solutions. The Data Scientist will partner with clinicians, analysts, consultants, product leaders, and technical teams to translate business questions into analytical approaches, prepare and analyze complex data, and communicate findings clearly to technical and non-technical stakeholders. 


LOCATION: Remote - Anywhere in the continental U.S. 


WHAT WE'RE LOOKING FOR:
<ul>
<li>At least 2+ years of healthcare and/or pharmaceutical analytics experience</li>
<li>Strong experience using SQL to write queries</li>
<li>Python or R experience, in particular experience building data analysis, machine learning, or forecasting models</li>
<li>Positive and outgoing disposition, eager to work as a team but also functions well working independently.</li></ul> 


WHAT YOU'LL DO:
A detailed list of job duties includes (but is not limited to):
<ul>
<li>Support the development and maintenance of predictive, statistical, and machine learning models that address business and client needs across Artemetrx initiatives.</li>
<li>Analyze pharmacy and medical claims data as well as other healthcare data sets to identify trends, patterns, outliers, and opportunities that inform client strategy and improve health outcomes.</li>
<li>Assist with AI roadmap initiatives</li>
<li>Prepare, clean, transform, and validate data sets to ensure accuracy, completeness, and usability for advanced analytics, reporting, dashboards, and model development.</li>
<li>Develop clean, reusable, and testable analytical code using established data team standards, libraries, and modules.</li>
<li>Support Artemetrx through maintenance of reference tables and other data sets used within the product.</li>
<li>Use programming languages such as SQL or Python to extract, manipulate, and analyze large and complex data sets.</li>
<li>Collaborate with consultants, clinicians, analysts, product teams, data engineers, and other stakeholders to understand business problems, define requirements, and deliver actionable insights.</li>
<li>Document analytical methods, assumptions, data definitions, model logic, and results to support transparency, repeatability, and quality control.</li>
<li>Communicate analytical findings and recommendations through written summaries, presentations, dashboards, and stakeholder discussions.</li>
<li>Stay current with developments in healthcare analytics, data science, machine learning, artificial intelligence, and the pharmacy benefits management industry.</li></ul> 


WHAT YOU'LL BRING:
<h2 class="jobSectionHeader">Requirements</h2>
<ul><li>2+ years of experience in data science, analytics, statistics, healthcare analytics, informatics, or a related analytical role preferred.</li>
<li>Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or a related quantitative discipline required; master's degree or relevant coursework preferred.</li>
<li>Experience working with healthcare data, pharmacy/PBM data, medical claims, financial data, or similarly complex data sets</li>
<li>Working knowledge of SQL for data extraction, querying, and data manipulation.</li>
<li>Proficiency with Python or R for data analysis, statistical modeling, machine learning, or automation.</li>
<li>Foundational understanding of statistics, predictive modeling, supervised and unsupervised learning, regression, classification, clustering, forecasting, and model evaluation techniques.</li>
<li>Experience preparing, cleaning, validating, and analyzing raw data with a high degree of accuracy and attention to detail.</li>
<li>Ability to translate business questions into analytical approaches and communicate results in a clear, concise, and practical manner.</li>
<li>Strong problem-solving skills, intellectual curiosity, resourcefulness, and ability to learn new tools, methods, and healthcare concepts quickly.</li>
<li>Strong written and verbal communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders.</li>
<li>Demonstrated ability to work independently and as part of a cross-functional team while managing multiple priorities and deadlines.</li>
<li>Proficiency with Microsoft Excel, Word, Outlook, and PowerPoint. Advanced Excel skills a plus.</li>
<li>Ability for some travel, up to 10%.</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Exposure to healthcare cost, utilization, clinical, pharmacy, PBM, or drug management analytics.</li>
<li>Experience with predictive modeling, time-series forecasting, claims analytics, anomaly detection, natural language processing, or AI-enabled reporting.</li>
<li>Familiarity with data privacy, data governance, HIPAA considerations, and secure handling of sensitive healthcare information.</li>
<li>Experience supporting dashboards, reporting automation, reusable analytical workflows, or model deployment processes.</li></ul> 


COMPENSATION:
Exempt: The base salary range for this position is $110,000 &ndash; $140,000. This range represents the employer's good faith estimate of the compensation for this role at the time of posting.

Actual compensation will be determined based on factors such as experience, skills, training, certifications, education, internal equity, and market data. This role may also be eligible for bonuses and a comprehensive benefits package. 


WHY EPIC:
EPIC has over 60 offices and 4,000 employees nationwide &ndash; and we're growing! It's a great time to join the team and be a part of this growth. We offer:
<ul>
<li>Generous Paid Time off
<ul><li>Managed PTO for salaried/exempt employees (personal time off without accruals or caps); 22 PTO days starting out for hourly/non-exempt employees; 12 company-observed paid holidays; 4 early-close days</li>
</ul></li><li>Generous leave time options: Paid parental leave, pregnancy disability and bonding leave, and organ donor/bone marrow donor leave</li>
<li>Generous employee referral bonus program of $1,500 per hired referral</li>
<li>Employee recognition programs for demonstrating EPIC's values plus additional employee recognition awards and programs (and trips!)</li>
<li>Employee Resource Groups: Women's Coalition, EPIC Veterans Group</li>
<li>Professional growth &amp; development: Mentorship Program, Tuition Reimbursement Program, Leadership Development</li>
<li>Unique benefits such as Pet Insurance, Identity Theft &amp; Fraud Protection Coverage, Legal Planning, Family Planning, and Menopause &amp; Midlife Support</li>
<li>Additional benefits include (but are not limited to): 401(k) matching, medical insurance, dental insurance, vision insurance, and wellness &amp; employee assistance programs</li>
<li>50/50 Work Culture: EPIC fosters a 50/50 culture between producers and the rest of the business, supporting collaboration, teamwork, and an inclusive work environment. It takes both production and service to be EPIC!</li>
<li>EPIC Gives Back &ndash; Some of our charitable efforts include Donation Connection, Employee Assistance Fund, and People First Foundation</li>
<li>We're in the top 10 of property/casualty agencies according to &quot;Insurance Journal&quot;</li>
</ul>
To learn more about EPIC, visit our Careers Page: https://www.epicbrokers.com/about/epic-careers/. 


EPIC embraces diversity in all its various forms&mdash;whether it be diversity of thought, background, race, religion, gender, skills or experience. We are committed to fostering a work community where every colleague feels welcomed, valued, respected and heard. It is our belief that diversity drives innovation and that creating an environment where every employee feels included and empowered, helps us to deliver the best outcome to our clients.

California Applicants - View your privacy rights at: https://www.epicbrokers.com/wp-content/uploads/2025/01/epic-ca-employee-privacy-notice.pdf.

Massachusetts G.L.c. 149 section 19B (b) requires the following statement: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 


#LI-AT1

#LI-Remote

(3857)</div>

Healthcare Data Scientist

AHOLD Delhaize

<div>Category/Area of Expertise: Procurement &amp; Logistics 
Job Requisition: 532599 
Address: USA-MA-Quincy-1385 Hancock Street
 
Store Code: Services (5120698)
 
 
ADUSA Procurement is a partner company to Ahold Delhaize USA, providing supply chain services that support the delivery of products from a supplier to the warehouse. ADUSA Procurement is part of the Ahold Delhaize USA family of brands, which also includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. 
 
Primary Purpose 
 
Responsible for utilizing advanced statistical tools and leading-edge technology for working with large datasets related to supply chain of Ahold Delhaize brands, facilities, and assets. Develop predictive models and algorithms for the creation of new insights which lead to scalable and efficient supply chain operations. Lead discovery and analyses of large amounts of business data, defining new metrics and business cases, designing simulations and experiments, and creating models and financial evaluations. Apply advanced analytics to measure the effectiveness of operational changes. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis. Work closely with supply chain engineers and product managers to evolve descriptive insights into predictive and prescriptive supply chain products. 
 
Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA &amp; Scarborough, ME.
 
 
Applicants must be currently authorized to work in the United States on a full-time basis.
 
 
Duties and Responsibilities
 
<ul><li>Develop statistical models to predict supply chain operational needs and automate decision making processes</li><li>
Use advanced analytics to highlight operational trends and external variables that impact supply chain performance to offer proactive recommendations in support of operational goals</li><li>
Collaborate with IT to structure supply chain data in a way that will make it accessible for creating a 360 view of our supply chain. This will include working with IT to identify and leverage new technology to access data in such a way to facilitate analysis and insight development. This will require expertise in advanced statistical technologies necessary for synthesizing data into actionable business opportunities</li><li>
Work closely with product managers and supply chain engineers to sustainably scale and deploy supply chain products such as control tower, vendor profitability models, and out of stock detection among others.</li><li>
Serve as the expert on advanced analytics tools and technologies</li><li>
Design tests for quantifying supply chain pilot results using A/B testing and statistical methods</li><li>
Collaborate with and mentor Supply Chain Data Science COOPs by providing project oversight, guidance, and mentorship</li><li>
Train other user groups and analysts to utilize best-in class tools and models</li></ul> 

Qualifications
 
<ul><li>7+ years of applicable experience with emphasis on supply chain analytics, agile software development, optimization or predictive modelling</li><li>
5+ advanced statistical analysis with emphasis on machine learning</li><li>
Extensive hands-on experience using statistical programming software and languages such as SAS, SQL, R, Scala and Python</li><li>
Extensive hands-on experience with predictive modelling, clustering, and optimization</li><li>
Significant experience in algorithm developments, focus on supply chain related topics preferred</li><li>
Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks</li><li>
Demonstrated skills in selecting the right Architecture given a data analysis problem.</li><li>
Simulation development experience, focus on supply chain areas</li><li>
Front end software development skills a plus</li><li>
Bachelor's Degree in engineering, computer science, mathematics, supply chain management or related fields required</li><li>
Master's Degree or PhD is Industrial Engineering, Operations Research, Computer Science, Data Science or related fields preferred</li></ul> 

Preferred Qualifications
 
<ul><li>Strategic thinking to provide optimal solutions to complex supply chain problems</li><li>
Proven analytical proficiency and ability to leverage data to positively impact the business and solve complex business problems</li><li>
Agile development</li><li>
Innovative problem-solver with ability to triangulate answers by adopting different problem-solving approaches. Demonstrated success executing complex strategic projects</li><li>
Flexibility to adapt to rapidly evolving priorities and needs, while maintaining commitment to excellence</li><li>
Strong and collaborative team contributor</li><li>
Superior organizational and analytical skills with hypothesis- driven problem solving and turning data into actionable insights</li><li>
Ability to define organizational needs in data science and proactively develop the internal capabilities needed to succeed</li><li>
Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses.</li><li>
Ability to challenge conventional thinking to deliver innovative recommendations</li><li>
Ability to lead multiple projects and tasks simultaneously</li><li>
Ability to influence without authority</li></ul> 
ME/NC/PA/SC Salary Range: $108,880 - $163,320
 
 
IL/MA/MD/NY Salary Range: $125,200 - $187,800
 
 
Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.
 
 
#LI-LL1 #LI-Hybrid
 
 
At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. 
 
Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. 
 
Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. 
 
We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.</div>

Manager Advanced Analytics

Search 146+ Predictive modeler jobs near you this August. New roles added regularly across leading industries. Apply today.

146 predictive modeler jobs Near Me

Lead Actuarial Predictive Modeler

Data Scientist

AI Engineer Analytics

Data Scientist

Data Scientist / Sr Analyst (0030)

Healthcare Data Scientist

Manager Advanced Analytics