statistical modeler

Potawatomi Federal Solutions

<div><div>Position Title: Data Analytics Modeler (**Secret Clearance Required**)</div><div>
Division: Redhawk Administrative Services, LLC</div><div>
Location: Remote</div><div>
EEO Class: Professional</div><div>
FLSA Classification: Exempt - Salaried</div><div>
Employment Class: Full Time - Regular</div><div>
Security Clearance: Active Secret Clearance 
</div><div>
Position Summary:</div><div>
Redhawk Administrative Services, LLC is currently seeking a Data Analytics Modeler. The Air Force Accounting and Policy Operations (SAF/FMFO) Data and Analytics Team is responsible for working with the Defense Enterprise Accounting Management System (DEAMS) Integrated Process Team (IPT) Leads and Legacy system subject matter experts (SMEs) to help ensure the successful rollout of financial dashboards to end users as well as the sustainment of the Oracle ERP technology and financials modules for DEAMS. The Data and Analytics Team provides functional and configuration knowledge and manages client relationships. Potential candidates must have experience in Oracle Federal Financials, Department of Defense Financial Management, and full life-cycle implementation. The successful candidate will interact with the functional teams (Procure-to-Pay, Orders-to-Cash, Budget-to-Report, Projects, or Customer Support) and end users in support of the creation and sustainment of financial dashboards. The candidate will provide business process reengineering (BPR) assistance and help the teams through agreed upon phases of project governance, problem solving, and training. 
</div><div>
Essential Duties &amp; Responsibilities:</div><ul><li>
Developing Dashboards and User Facing Products in Microsoft Power Platform.</li><li>
Developing strategies to identify areas of opportunity to optimize statistical efficiency and quality of accounting data.</li><li>
Performing financial data collection through available tools (Discoverer, OBIEE, and APEX).</li><li>
Analyzing/Interpreting data and recommending corrective (preventative) actions.</li><li>
Identifying accounting anomalies and recommend corrective (preventative) actions.</li><li>
Monitoring unposted transactions and recommend corrective (preventative) actions.</li><li>
Documenting Standard Operating Procedures (SOP) to correct identified anomalies.</li><li>
Performing/Processing actions to correct identified anomalies.</li><li>
Researching trouble tickets to determine course of action - explain, resolve, coordinate and transfer to the appropriate team, or send to triage for system integrator (SI) resolution.</li><li>
Ability to understand issue and analyze root cause through direct customer interaction; brings expertise in Oracle based solution to resolve complex issues and cross functional issues; and communicates with clients effectively in order to resolve customer issues.</li><li>
Ability to leverage Oracle Federal Financials functionality and domain knowledge to assist in solution development.</li></ul><div> 

Education &amp; Experience Requirements:</div><div>
Required Qualifications:</div><ul><li>
Bachelor's Degree in Computer Science, Statistics, Mathematics, or related field.</li><li>
5 years of experience in BI/ Data Analytics.</li><li>
Proficient with Microsoft Power Platform (PowerBI, PowerAutomate, Power Apps, etc.).</li><li>
Secret Security clearance required or higher.</li>
Must be willing and able to travel as required. 
<li>
</li></ul><div>
Preferred Qualifications:</div><ul><li>
Experience in Statistics.</li><li>
Experience in Machine learning.</li><li>
Experience in Computer Programming.</li><li>
Experience with Oracle e-Business Suite (eBS) 11i and R12.</li><li>
Knowledge of Air Force legacy systems such as the Automated Funds Management (AFM), Civilian Pay Accounting Interface System (CPAIS), Central Procurement Accounting System (CPAS), Commanders&rsquo; Resource Integration System (CRIS), General Accounting and Finance System Base Level (GAFS-BL), General Accounting and Finance System Re-Engineered (GAFS-R), Integrated Accounts Payable System (IAPS), Job Order Cost Accounting System II (JOCAS II), Standard Base Supply System (SBSS), Standard Materiel Accounting System (SMAS), and Wide Area Work Flow (WAWF).</li><li>
Understanding of the Standard Financial Information Structure (SFIS) and the United States Standard General Ledger (USSGL).</li></ul><div></div><div> 
#ClearanceJobs 
</div><div>
Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.</div> 

About Potawatomi Federal Solutions: 
Potawatomi Federal Solutions is a federal government contractor who provides essential services and administrative support to Potawatomi Business Development Corporations&rsquo; family of industry-leading federal government contracting subsidiaries. We are 100% tribally owned small business of the Forest County Potawatomi Community of Wisconsin. In 2007, we launched with one mission in mind: to create a profitable tribal enterprise to allow us to invest in the health, wellness, education, environment and future of our people for generations to come. What fuels your fire? We invite you to find out by exploring our career opportunities and joining our dynamic team of innovative professionals!</div>

Data Analytics Modeler (Secret Clearance)

Spatial Front

<div>Description:

Spatial Front, Inc. (SFI), a two-time USAToday Top Workplaces awardee and Washington Top Workplaces honoree, is seeking a Data Scientist to support our growing team. The ideal candidate will be a Data Scientist to develop advanced analytical models and machine learning solutions that generate actionable insights for Federal Government programs. A stong candidate will have strong expertise in statistical modeling, machine learning, and data science methodologies. As a valued member of the SFI team, you will play a critical role in delivering mission-critical capabilities to our Federal Government customers.
Key Responsibilities:<ul><li>
Develop, train, validate, and deploy machine learning and statistical models to address program analytical challenges.</li><li>
Perform exploratory data analysis (EDA) to identify patterns, correlations, and anomalies in complex datasets.</li><li>
Collaborate with data engineers to access, prepare, and transform data for modeling and analysis.</li><li>
Communicate model findings, limitations, and recommendations to technical and non-technical stakeholders.</li><li>
Implement MLOps practices to operationalize and monitor deployed models.</li><li>
Design NLP models to support business operations.</li><li>
Evaluate and recommend AI/ML tools, frameworks, and platforms for program use.</li><li>
Produce data science documentation including model cards, methodology reports, and technical papers.</li><li>
Other duties as assigned.</li></ul>
Requirements:
<ul><li>Bachelor's in Statistics, Mathematics, Computer Science, or related field; Master's preferred.</li><li>
3 years data analysis, 1 year machine learning.</li><li>
Demonstrated expertise in: statistical analysis, machine learning, Python, data visualization, LLMs, predictive modeling.</li><li>
Must be a U.S. Citizen.</li><li>
Must possess an active Secret security clearance or be able to obtain one.</li></ul>
Desired Skills:<ul><li>
Experience applying data science to DoD or federal agency mission problems.</li><li>
Familiarity with Oracle RDBMS 19c</li><li>
Experience with LLM models such as OpenAI, Gemini, Mistral and Nova.</li><li>
Experience with ETL, FTL is a plus including tools such as Ab Initio and Go Anywhere</li><li>
Familiarity with data visualization tools such as PowerBI or Kibana.</li><li>
Understanding of AWS AI toolkit including Sagemaker, Kiro and AmazonQ.</li><li>
Proficiency with scikit-learn, TensorFlow, PyTorch or R.</li><li>
Experience with cloud-based ML platforms</li></ul>
Additional Information:<ul><li>
Clearance: Must be a U.S. Citizen with an active Secret security clearance or the ability to obtain one.</li><li>
Work Environment: Onsite/Hybrid/Remote as required by the contract.</li><li>
This is a full-time, W2 position.</li><li>
No agencies, third parties, or Corp-to-Corp submissions.</li><li>
Spatial Front Inc. is an Equal Opportunity Employer &mdash; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status.</li><li>
SFI participates in E-Verify.</li></ul></div>

Data Scientist

Vanguard

<div><div>This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.</div><div>
Responsibilities<ul><li>
Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.</li><li>
Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.</li><li>
Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.</li><li>
Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.</li><li>
Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.</li><li>
Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.</li><li>
Participates in special projects and performs other duties as assigned.</li><li>
Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.</li><li>
Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.</li><li>
Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.</li></ul> 
Qualifications and Skills<ul><li>
Minimum 8 years of experience in data science, predictive analytics, or advanced statistical modeling roles</li><li>
Bachelor&rsquo;s degree (B.E./B.Tech) in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master&rsquo;s degree/Diploma in a related quantitative field</li><li>
Expertise in programming with Python, R, or SQL; hands-on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI.</li></ul>
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission&mdash;we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.</div></div>

AI/ML Data Scientist

Skywalk Global

<div>Job Summary<div>
The Mississippi Department of Child Protective Services seeks a senior data scientist to support a proof-of-concept
demonstration using natural language processing and other machine learning methods to improve the intake process.
This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk.
The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and
testing of statistical models, integration of NLP, and refinement and testing of the prototype. In addition, algorithmic
trade-offs will be evaluated, and guidance provided to ensure the State&rsquo;s objectives are satisfied. The Senior Data
Scientist will work closely with State stakeholders and technical team members to ensure the quality of the results and
that the derived methods are transparent, statistically sound, relevant, and documented.
Key Responsibilities<ul><li>Create a Development Framework</li></ul>
o Establish a framework for the execution of technical tasks within the proof-of-concept. The framework will
consist of task breakouts, milestones, and deliverables
o Identify critical milestones related to information, receipt of data, testing, and delivery.
o Identify key risk factors and means of mitigation.<ul><li>Current Processes &amp; Technology</li></ul>
o Participate in critical discussions involving current intake workflows, how decisions are made based on
information from the intake process, and the allocation of State labor.
2
o Contribute to the identification of intake process shortcomings and prioritize based on their impact on children
and State resources.<ul><li>Devise New Intake Approach Using New Technologies</li></ul>
o Lead the development of a new intake process that leverages natural language processing and other machine
learning algorithms.
o Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings.
o Evaluate architectural and computational implementation trade-offs for each functional block. The evaluation
should consider risk from the standpoints of technical, schedule, and security.
o Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or
other alternatives.
o Document the final approach for transparency.<ul><li>Design Review(s)</li></ul>
o Create the framework for the design review process.
o Lead the design review and evaluate
 The functional design with respect to resolving prioritized intake process shortcomings, and the impact on
children and State resources.
 Technical, schedule, data security, and other risk factors.
 Source of data and its usefulness in demonstrating the efficacy of the approach.
 Proposed methods of test and demonstration.
o Documentation of the process for transparency.<ul><li>Implementation of Proof-of-Concept</li></ul>
o Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate
reviews.
o Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.<ul><li>Conference Room Demonstration</li></ul>
o During the course of 3-4 days, provide conference room support to demonstrate that shows how the prototype
application can improve child outcomes and reduce State resources.
o Capture key stakeholder comments regarding technical aspects of the application.<ul><li>Roadmap</li></ul>
o Contribute to the development of a roadmap that illustrates how the developed technology could be integrated
into the State&rsquo;s ecosystem of technologies and processes.<ul><li>Agile Development Process</li></ul>
o Contribute to the Agile development process to ensure the success of the project.<ul><li>Bachelor&rsquo;s, Master&rsquo;s, or Ph.D. in computer science, mathematics, engineering, physics, or related field.</li><li>Have participated in US Federal Gov&rsquo;t data science programs requiring TS/SCI clearance, delivering solutions</li></ul>
requiring the combination of geospatial disciplines and pattern of life, and Social network connections.<ul><li>Data engineering expertise, with demonstrable experience custom building programs processing in excess of</li></ul>
700 Million records in less than :30min, on a highly frequent, reoccurring basis.<ul><li>Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not</li></ul>
limited data attribute selection, data clean up and statistical tuning.<ul><li>Extensive knowledge of statistical algorithms, machine learning, and adaptive systems.</li></ul>
Prior history of designing and building machine learning algorithms from the ground up.<ul><li>Experience with making technical trade-offs between algorithmic approaches. based on collective errors,</li></ul>
computational time, scalability, and outcomes.<ul><li>Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.</li><li>Successful history of converting social processes and human decision-making into computational models that</li></ul>
yield improved results</div></div>

Varmoda Tech

<div>
 We are seeking a senior data scientist to support a proof-of-concept demonstration using natural language processing and other machine learning methods to improve the intake process. This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk.
 
 
 The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and testing of statistical models, integration of NLP, and refinement and testing of the prototype. In addition, algorithmic trade-offs will be evaluated, and guidance provided to ensure the State's objectives are satisfied. The Senior Data Scientist will work closely with State stakeholders and technical team members to ensure the quality of the results and that the derived methods are transparent, statistically sound, relevant, and documented.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Create a Development Framework
 </li>
 <li>
 Establish a framework for the execution of technical tasks within the proof-of-concept. The framework will consist of task breakouts, milestones, and deliverables
 </li>
 <li>
 Identify critical milestones related to information, receipt of data, testing, and delivery.
 </li>
 <li>
 Identify key risk factors and means of mitigation
 </li>
 <li>
 Current Processes &amp; Technology
 </li>
 <li>
 Participate in critical discussions involving current intake workflows, how decisions are made based on information from the intake process, and the allocation of State labor.
 </li>
 <li>
 Contribute to the identification of intake process shortcomings and prioritize based on their impact on children and State resources.
 
 
 </li>
 </ul>
 
 Devise New Intake Approach Using New Technologies
 
 
 
 <ul>
 <li>
 Lead the development of a new intake process that leverages natural language processing and other machine learning algorithms.
 </li>
 <li>
 Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings.
 </li>
 <li>
 Evaluate architectural and computational implementation trade-offs for each functional block.
 </li>
 <li>
 The evaluation should consider risk from the standpoints of technical, schedule, and security.
 </li>
 <li>
 Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or other alternatives.
 </li>
 <li>
 Document the final approach for transparency
 </li>
 <li>
 Design Review(s)
 </li>
 <li>
 Create the framework for the design review process.
 </li>
 <li>
 Lead the design review and evaluate
 </li>
 <li>
 The functional design with respect to resolving prioritized intake process shortcomings, and the impact on children and State resources.
 </li>
 <li>
 Technical, schedule, data security, and other risk factors.
 </li>
 <li>
 Source of data and its usefulness in demonstrating the efficacy of the approach.
 </li>
 <li>
 Proposed methods of test and demonstration.
 </li>
 <li>
 Documentation of the process for transparency.
 </li>
 <li>
 Implementation of Proof-of-Concept
 </li>
 <li>
 Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate reviews.
 </li>
 <li>
 Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.
 </li>
 <li>
 Conference Room Demonstration o During the course of 3-4 days, provide conference room support to demonstrate that shows how the prototype application can improve child outcomes and reduce State resources.
 </li>
 <li>
 Capture key stakeholder comments regarding technical aspects of the application.
 </li>
 <li>
 Roadmap
 </li>
 <li>
 Contribute to the development of a roadmap that illustrates how the developed technology could be integrated into the State's ecosystem of technologies and processes.
 </li>
 <li>
 Agile Development Process o Contribute to the Agile development process to ensure the success of the project.
 
 
 </li>
 </ul>
 
 Required Skills/Experience
 
 
 
 <ul>
 <li>
 Bachelor's, Master's, or Ph.D. in computer science, mathematics, engineering, physics, or related field.
 </li>
 <li>
 Have participated in US Federal Gov't data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines and pattern of life, and Social network connections.
 </li>
 <li>
 Data engineering expertise, with demonstrable experience custom building programs processing in excess of 700 Million records in less than :30min, on a highly frequent, reoccurring basis.
 </li>
 <li>
 Proven expertise working with CCWIS data attributes to predict child welfare outcomes, including but not limited data attribute selection, data clean up and statistical tuning.
 </li>
 <li>
 Extensive knowledge of statistical algorithms, machine learning, and adaptive systems.
 </li>
 <li>
 Prior history of designing and building machine learning algorithms from the ground up.
 </li>
 <li>
 Experience with making technical trade-offs between algorithmic approaches. based on collective errors, computational time, scalability, and outcomes.
 </li>
 <li>
 Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.
 </li>
 <li>
 Successful history of converting social processes and human decision-making into computational models that yield improved results.
 </li>
 </ul>
</div>

Data Scientist - Senior Data Scientist - MS - MDCPS

VideoAmp

<div>
 VideoAmp is on a mission to create the best employee and workplace experience where people can bring their whole self to work everyday. We believe that accomplishing something great requires a special group of people who work hard, drive results and have a blast while doing it.
 
 
 At VideoAmp, we believe in challenging advertising paradigms to maximize value for clients. We do this by enabling companies to execute on business outcomes across their media investment instead of more traditional media metrics. VideoAmp is the software and data solutions company powering the convergence of linear TV and digital video advertising.
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 
 Location: Hybrid near one of our hubs - Los Angeles, New York, Boulder, Chicago, Dallas, St. Petersburg.
 
 
 We are seeking a highly skilled Data Scientist / Senior Data Scientist to join our Measurement &amp; Outcomes team. Reporting into the Data Science organization, you will work closely with our Outcomes Tech Lead as a key technical partner and core contributor to build and scale our methodology.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Support the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.
 </li>
 <li>
 Develop and refine methodologies for core outcome products, specifically attribution and lift models.
 </li>
 <li>
 Adapt existing measurement models to solve for specific client use cases
 </li>
 <li>
 Ensure the integrity and accuracy of data through rigorous testing and validation of models.
 </li>
 <li>
 Work closely with engineering and MLOps teams to integrate models into production systems, ensuring scalability and reliability.
 </li>
 <li>
 Communicate complex analytical concepts and results to stakeholders in a clear and concise manner.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s, or Ph.D. in Mathematics, Statistics, Science, Computer Science, Data Science, or a related field.
 </li>
 <li>
 2-5+ years of proven experience in data science, with a strong focus on statistical modeling and machine learning.
 </li>
 <li>
 Proficiency in programming languages such as Python and SQL.
 </li>
 <li>
 Expertise in statistical techniques, including regression analysis, hypothesis testing, A/B testing, causal inference, Bayesian methods, and time-series analysis.
 </li>
 <li>
 Experience with general machine learning frameworks and libraries.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to work with complex datasets and extract actionable insights.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to convey technical information to non-technical audiences.
 </li>
 <li>
 Familiarity with big data technologies such as Snowflake, Spark, Databricks, and cloud platforms (AWS, GCP, etc.) is a plus.
 </li>
 <li>
 Proficient with AI tools such as Gemini and Claude.
 
 
 </li>
 </ul>
 
 
 What We Offer
 
 
 
 
 This position pays between
 
 $135,000 - $170,000 + Equity + Benefits.
 
 The actual compensation offer will be determined by a number of factors, including, but not limited to, applicant's qualifications, skills, and experience.
 
 
 <ul>
 <li>
 Discretionary and flexible paid time off
 </li>
 <li>
 In addition to standard US holidays off, VideoAmp employees receive a full week off for Summer Break and another full week off for Winter Break.
 </li>
 <li>
 Comprehensive medical, dental, and vision benefits for you and your dependents - including multiple options fully covered by VideoAmp
 </li>
 <li>
 Professional and personal support with licensed therapists and career coaches
 </li>
 <li>
 Unlimited financial wellness sessions with Origin financial advisors
 </li>
 <li>
 401k Plan with matching
 </li>
 <li>
 HSA &amp; FSA
 </li>
 <li>
 Cell Phone Reimbursement
 </li>
 <li>
 Paid Maternity and Parental Leave for All Family Additions
 
 
 </li>
 </ul>
 We are on a collective mission to bring equity and transparency into media measurement, and that begins with an honest, inclusive culture. At VideoAmp, we empower our team to thrive through collaboration, mentorship, and innovation. If you&rsquo;re passionate about technical revenue accounting, SaaS transformation, and AdTech innovation, we&rsquo;d love to hear from you.
 
 
 Above all, if you&rsquo;re eager to influence and support the revolutionary goals of a dynamic, cross-functional team&mdash;join us and make an impact!
</div>

Senior Data Scientist (Future Position)

Worldpay

<div>Job Description
Please note: Sponsorship is NOT eligible for this role including OPT. Applicants must be a US Citizen or Green Card holder.
Are you ready to write your next chapter? 
Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Data Scientist to join our ever evolving team and help us unleash the potential of every business.
Location: Cincinnati, OH, Denver, CO, or Atlanta, GA office locations, hybrid schedule<h3 class="jobSectionHeader">
What you&rsquo;ll own as the Data Scientist</h3><ul><li>
Analyze and extract insights from internal and external data.</li><li>
Employ machine learning and statistical modeling to create and enhance data-driven products.</li><li>
Work with Big Data and transform complex datasets into more usable formats.</li><li>
Utilize a variety of data science tools and programming languages such as Python, R, and SQL.</li><li>
Work independently and collaborate with other groups to solve complex problems.</li><li>
Create and present analyses to internal and external partners and clients.</li><li>
Document models and write code to track and monitor models and product performance.</li><li>
Make pragmatic and business-aware choices when trading off sophistication and accuracy versus implementation and performance costs.</li><li>
Participate in project planning sessions, analyze requirements, and provide design recommendations for complex analytical systems.</li><li>
Other related duties as assigned.</li></ul><h3 class="jobSectionHeader">
What you&rsquo;ll bring</h3><ul><li>
Degree in Data Science, Statistics, Decision Sciences, Applied Mathematics, Economics, Computer Science, or an equivalent combination of education, training, and work experience.</li><li>
Proficient in data science tools and programming languages Python, R, and SQL</li><li>
Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis.</li><li>
Experience or knowledge of cloud-based technology.</li><li>
Ability to collaborate with others and solve complex problems.</li><li>
Outstanding verbal and written communication skills to technical and non-technical audiences at all levels.</li><li>
Excellent analytical, decision-making, problem-solving, team, and time management skills.</li><li>
Positive outlook, strong work ethic, and responsiveness to internal and external clients and contacts.</li></ul>
About the team
To learn more about our winning teams, check out our world-class teams that own it every day.
What makes a Worldpayer
What makes a Worldpayer? It&rsquo;s simple: Think, Act, Win. We stay curious, always asking the right questions and finding creative solutions to simplify the complex. We&rsquo;re dynamic, every Worldpayer is empowered to make the right decisions for their customers. And we&rsquo;re determined, always staying open and winning and failing as one.
Does this sound like you? Then you sound like a Worldpayer. Apply now to write the next chapter in your career.
#LI-JH1 

Worldpay is dedicated to offering individuals rewarding career opportunities and competitive compensation. For this full-time position, the good faith estimated annual salary range upon hire is $101,100.00-$152,550.00. This range reflects what we reasonably expect to offer based on the role&rsquo;s responsibilities, level, and geographic location. The actual starting salary will be determined by a candidate&rsquo;s experience, job-related skills, and relevant education or training. Please note that changes in work location may impact the final offered salary. We encourage you to consult with your recruiter to confirm the budget for your location and to better understand the applicable pay scale.
EEOC Statement
Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here.
If you are made a conditional offer of employment and will be working in the United States, you will be required to undergo a drug test. In developing this job description care was taken to include all competencies and requirements needed to successfully perform the position. Reasonable accommodations will be provided for individuals with qualified disabilities both during the hiring process, as well as to allow the individual to perform the essential functions of the job, if hired.</div>

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1691 statistical modeler jobs Near Me

Data Analytics Modeler (Secret Clearance)

Data Scientist

AI/ML Data Scientist

Data Scientist

Data Scientist - Senior Data Scientist - MS - MDCPS

Senior Data Scientist (Future Position)

Data Scientist