data scientist

Arrive Logistics

<div><div>Who We Are

Arrive Logistics is a leading transportation and technology company in North America with plans to grow significantly year over year. Our success is a testament to our remarkable team and what we&rsquo;re building together. We&rsquo;re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment.

Who We Want

The Data Scientist II will work closely with Data Science, Product, and Engineering to build and improve ML and AI systems that drive operational value. This role is a great fit for a hands-on practitioner with applied experience in NLP and LLM-based systems who is ready to take on meaningful technical ownership. You'll contribute to the full lifecycle of production ML systems &mdash; from evaluation and measurement through development, deployment, and iteration &mdash; with a particular focus on text and language-based applications. The ideal candidate is comfortable operating in ambiguous problem spaces, can translate loosely defined business needs into concrete technical approaches, and communicates findings clearly to both technical and non-technical audiences.
</div>
<h3 class="jobSectionHeader">What You'll Do</h3><div>
<ul><li>Develop, evaluate, and iterate on NLP and LLM-based systems, including text classification, information extraction, and context retrieval pipelines.</li>
<li>Build measurement and evaluation frameworks &mdash; both offline and online &mdash; to assess where and why systems are underperforming and quantify the impact of improvements.</li>
<li>Develop golden test datasets and define methodologies for creating and maintaining them over time, including designing annotation guidelines and ensuring label quality.</li>
<li>Evaluate and apply the appropriate approach for language tasks &mdash; whether prompt engineering, fine-tuning, or classical NLP methods &mdash; including modern retrieval and RAG architectures and LLM evaluation methodologies, based on the problem and available data.</li>
<li>Perform structured analysis of system performance to surface failure modes, data gaps, and high-value areas for investment, applying sound statistical reasoning to evaluation results.</li>
<li>Partner with engineers to support deployment, integration, and monitoring of ML and AI systems in production.</li>
<li>Contribute to standards and best practices around deploying, evaluating, and monitoring text and language-based ML systems.</li>
<li>Document work clearly and maintain knowledge artifacts that make systems understandable and maintainable over time.</li>
<li>Collaborate with senior data scientists and cross-functional partners to translate business needs into well-scoped technical solutions, including communicating findings and recommendations to non-technical stakeholders.</li>
</ul></div><h3 class="jobSectionHeader">Qualifications
</h3><div><ul><li>Bachelor's or Master's degree in a quantitative field (computer science, statistics, linguistics, or related) and 2&ndash;4 years of applied ML or data science experience, or equivalent practical experience.</li>
<li>Hands-on experience building or improving NLP or LLM-based systems in applied settings.</li>
<li>Familiarity with text classification, information extraction, or other NLP tasks &mdash; and an understanding of where these systems fail.</li>
<li>Experience with both prompt engineering and fine-tuning approaches for language tasks, with the judgment to know when to apply each.</li>
<li>Familiarity with modern retrieval strategies and RAG architectures and how they affect LLM system performance.</li>
<li>Experience with Hugging Face Transformers for text classification or related NLP tasks.</li>
<li>Experience contributing to evaluation frameworks, test sets, or performance diagnostics for ML systems, including comfort with statistical methods for measuring model performance.</li>
<li>Proficiency in Python and SQL, and comfort working with structured and unstructured data.</li>
<li>Ability to operate effectively in ambiguous problem spaces &mdash; scoping technical approaches when requirements are not fully defined.</li>
<li>Strong written communication skills; able to document systems and findings clearly and present recommendations to non-technical stakeholders.</li>
<li>Experience designing data annotation workflows, labeling guidelines, or label quality processes is a plus.</li>
<li>Experience with model deployment, monitoring, or production ML workflows is a plus.</li>
<li>Familiarity with LangChain and LangSmith or similar LLM orchestration and observability tooling is a plus.</li>
<li>Transportation or logistics industry experience is a plus.</li>
</ul></div><h3 class="jobSectionHeader">The Perks of Working With Us
</h3><div><ul><li>Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.</li>
<li>Invest in your future with our matching 401(k) program.</li>
<li>Build relationships and take part in learning opportunities through our Employee Resource Groups.</li>
<li>Enjoy office wide engagement activities, team events, happy hours and more!</li>
<li>Leave the suit and tie at home; our dress code is casual.</li>
<li>Work in the heart of downtown Chicago, IL!</li>
<li>Sweat it out at the LifeStart gym in our office building that includes brand new Peloton bikes, top-of-the-line equipment and personal training options.</li>
<li>Maximize your wellness with free counseling sessions through our Employee Assistance Program</li>
<li>Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.</li>
<li>Receive 100% paid parental leave when you become a new parent.</li>
<li>Get paid to work with your friends through our Referral Program!</li>
<li>Get relocation assistance! If you are not local to the area, we offer relocation packages.</li>
</ul></div><div>The base salary range for this position is $138K - $172K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training.</div><div>
<div>Your Arrive Experience</div>
<div>When we say &ldquo;award-winning culture,&rdquo; we mean it. We&rsquo;ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we&rsquo;re not in it for the trophies. We&rsquo;re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive&rsquo;s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos.</div>
<div></div>
<div>Notice:</div>
<div>To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.</div></div></div>

Data Scientist II

Capital One

<div>Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Team Description
The Data Solutions and Model team builds the machine learning and AI agents that help our customers in the Global Payment Network. We create models and AI tools to support fraud/risk, merchant acceptance, merchant intelligence and monitoring. 
Role Description
In this role, you will:<ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul>
The Ideal Candidate is:<ul><li>
A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.</li><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li></ul>
Basic Qualifications:<ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul>
Preferred Qualifications:<ul><li>
Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
Experience with Large Language Models (LLMs), including utilizing embedding models and working with vector databases</li><li>
Experience designing and implementing AI workflows and autonomous AI agents</li></ul> 
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
Anytown, IL: $147,100 - $167,900 for Princ Associate, Data Science 
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</div>

Principal Associate, Data Scientist - Global Payments Network: Data Solutions and Modeling

Rush University Medical Center

<div>Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Res-Recr - Buell
Work Type: Full Time (Total FTE between 0.9 and 1.0)
Shift: Shift 1
Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)
Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).
Pay Range: $32.00 - $46.44 per hour
 
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush&rsquo;s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.
Under the general direction of the Principal Investigator and Supervising Statistician for the Rush Interdisciplinary Consortium for Critical Care Trials and Data Science (RICCC), the Statistician 1 independently performs statistical analyses of critical care and ICU datasets, including CLIF (Common Longitudinal ICU Data Format, www.clif-icu.com ), Epic Cosmos data, and multi-center clinical trial data. Develops and implements complex analytical programs to support epidemiological studies of critical illness and clinical trials. Provides quantitative and analytical support to multiple research projects within RICCC.
Summary:
Under the direction of the Supervising Statistician or Statistician Manager, the Statistician 1 writes and runs computer programs to summarize and perform statistical analyses on data concerning topics in the biomedical sciences, preparing reports to summarize those results. Exemplifies the Rush mission, vision, and values and acts in accordance with Rush policies and procedures.
Required Job Qualifications:
<ul><li>Master&rsquo;s degree in Biostatistics, Statistics or closely related field.
</li><li>2 years of experience performing statistical analysis of biomedical or related data.
</li><li>Knowledge of linear and logistic regression, longitudinal analysis and survival analysis methods.
</li><li>Strong analytical skills.
</li><li>Proficiency with SAS or R/R-studio programming. Proficiency with Microsoft Office (Word, Excel, Power Point).
</li><li>Clear and concise written and verbal communication skills.
</li><li>Detail oriented and careful attention to accuracy. 
</li></ul>Responsibilities:
<ul><li>Compute new variables in output for specific requests, displaying stages by showing summaries of all records and by showing all data for one or more participants.
</li><li>Develop, write and run complex computer programs in SAS and R to 1) utilize, summarize, and describe datasets, including frequencies, lists, and plots and 2) perform statistical analyses of biomedical data, employing appropriate statistical methods, such as survival analyses, generalized linear modeling, nonparametric methods and graphical methods. Types of data analyzed include categorical, longitudinal, and censored failure-time data. All programs should be organized and modular.
</li><li>Perform quality checks for programs that summarize and describe by examining data to identify potential data inconsistencies. Document for review.
</li><li>Document programs clearly to facilitate interpretation and general use by other members of the team and by investigators.
</li><li>Store all output and programs on servers and file systems accessible to other team members.
</li><li>Upon request, working closely with investigators, prepare publication-ready figures.
</li><li>Conduct investigations as appropriate to ensure assumptions of statistical models developed for analyses are adequately met. Identify concerns.
</li><li>Other duties as assigned. 
</li></ul> 
Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.</div>

Statistician 1

Shirley Ryan Ability Lab

<div>Shirley Ryan AbilityLab is the global leader in physical medicine and rehabilitation for adults and children with the most severe, complex conditions. By joining our team, you&rsquo;ll be part of our life-changing mission and vision. You&rsquo;ll contribute to an innovative, multifaceted culture that is second to none &mdash; one that embraces collaboration, excellence, discovery and compassion. You&rsquo;ll play a role in something that&rsquo;s never been done before as we integrate science and clinical care to help patients achieve better, faster outcomes &mdash; as we Advance Human Ability, together.
Job Description Summary
Job Description
Data Engineers for Chicago, IL location.<ul><li>
Develop secure, stable, scalable long-term plans for the flow of hospital data.</li><li>
Assist in the development of scalable data infrastructure and platforms to collect and process large amounts of data, including structured and unstructured data for analysis by clinical, research, and business resources.</li><li>
Establish methods and procedures for tracking data quality, completeness, redundancy, compliance and improvement.</li><li>
Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup and archiving.</li><li>
Help oversee mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.</li><li>
Define standards for naming, describing, governing, managing, modeling, cleaning, enriching, transforming, moving, storing, searching, and delivering data securely.</li><li>
Participate in data and information model design across multiple stakeholders.</li><li>
Technical environment: Implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling.</li></ul>
Job Requirements<ul><li><ul><li>Masters degree in Information Systems, Computer Science, Data Science or related field plus 2 years of experience in data analytics with large data sets required.</li></ul></li><li>
Required skills: implementation of data security standards in line with HIPAA requirements, SQL, SQL server Management Studio, Python, VBA, SSIS, Requirements Analysis, relational databases, Business intelligence, Tableau development, ETL process development, Data management, Data engineering, Data modeling.</li><li>
Some telecommuting permitted.</li><li>
(*Bachelor&rsquo;s degree in Information Systems, Computer Science, Data Science or related field plus 5 years of progressive experience in data analytics with large data sets also acceptable).</li></ul>
Salary: $104, 250 &ndash; 124,500/yr.
Benefits: See https://www.sralab.org/benefits
Equal Employment Opportunity Employer 
Shirley Ryan AbilityLab is an Equal Employment Opportunity Employer. All applicants will be afforded equal employment opportunity without discrimination because of race, color, religion, sex, marital status, national origin or ancestry, citizenship status, age, disability, sexual orientation, gender identity, genetic information, military status, order of protection status, unfavorable discharge from military service, or any other characteristics protected by law. 
EEO is the Law | EEO is the Law - Know Your Rights | View our Full Policy 
Shirley Ryan AbilityLab is an Affirmative Action Employer as required by law.</div>

Data Engineers

Cognizant

The posted job opening may be for a Temporary Fixed Term period of time. If the selected applicant is hired as a Temporary Fixed Term employee/associate, their employment with Cognizant will typically be for a period of six to nine months. Any extensions to the temporary employee’s employment period will be solely at the discretion of Cognizant Technology Solutions. About the role
 As a Gen AI Architect , you will make an impact by designing and implementing end-to-end artificial intelligence and machine learning solutions that support safe, scalable, and compliant medical device products. You will be a valued member of the AI and data engineering team and work collaboratively with data scientists, engineers, and compliance stakeholders to deliver innovative solutions that meet regulatory and clinical standards. In this role, you will:
 Design end-to-end machine learning architectures using AWS AI/ML services and MLOps practices for scalable and secure medical device applications
 Develop reusable MLflow-based frameworks for experiment tracking, model versioning, and governance across projects
 Build automated ML pipelines using AWS CodePipeline and related services to enable CI/CD for machine learning models
 Collaborate with cross-functional teams to translate AI/ML concepts into production-ready solutions aligned with regulatory requirements
 Define standards for data ingestion, feature engineering, and model serving to meet performance, reliability, and compliance goals
 Optimize deployment of generative AI and traditional ML models on AWS, balancing cost, scalability, and compliance
 Implement monitoring strategies for model drift, data drift, and system performance using MLOps tools
 Document architectures, decisions, and operational processes to support audits and regulatory reviews
 Partner with compliance and quality teams to ensure traceability, validation, and risk management in medical device AI solutions
 Promote secure coding and data protection practices for sensitive healthcare data
 Review and enhance existing AI/ML solutions to improve scalability, reliability, and clinical safety
 Support modernization of legacy systems into AI-driven solutions for improved clinical outcomes
 Advise stakeholders on how AI and ML capabilities can enhance medical device offerings responsibly Work model
 We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a Cognizant office or client location in Chicago, IL. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
 The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered:
 9–12 years of experience in AI/ML engineering, solution architecture, or data science
 Strong hands-on experience with AWS machine learning services and cloud-native architecture design
 Proven expertise in MLOps practices, including MLflow, model lifecycle management, and governance
 Experience implementing CI/CD pipelines for ML using AWS CodePipeline or similar tools
 Deep understanding of machine learning concepts, including model development, evaluation, and feature engineering
 Hands-on experience with generative AI techniques and frameworks
 Experience working in regulated environments, preferably in medical devices or healthcare
 Strong understanding of data security, compliance, and privacy standards
 Ability to communicate effectively with both technical and non-technical stakeholders These will help you stand out:
 Experience delivering audit-ready, compliant AI/ML solutions in the medical device domain
 Familiarity with regulatory frameworks and validation processes for healthcare technologies
 Strong knowledge of responsible AI practices and risk mitigation strategies
 Experience designing highly scalable, secure cloud architectures for sensitive data
 Ability to bridge innovation with compliance in complex enterprise environments Salary and Other Compensation:
 Applications will be accepted until July 2, 2026 .
 The hourly salary for this position is between $88/hr - $100/hr depending on experience and other qualifications of the successful candidate.
 This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
 Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
 
Medical/Dental/Life Insurance
 
Long-term/Short-term Disability
 Employee Stock Purchase Plan
 Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Gen AI Architect

Wonder

<div>About Grubhub
At Grubhub, we believe food is more than just a meal: It&rsquo;s a source of discovery, connection, and pure enjoyment. There&rsquo;s a time and place for every type of dish, from hidden neighborhood gems to tried-and-true favorites, and we exist to connect people with the food they love in all the ways they like to dig in. We&rsquo;ve been at it since 2004, but now, as part of Wonder, Grubhub is operating with a renewed sense of momentum and the high-velocity energy of a powerhouse startup.
As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience. We are constantly finding new ways to innovate&mdash;from integrated grocery delivery with groceries powered by Instacart to exclusive loyalty programs. Join our team, based out of New York City, Chicago and Denver, and help us give our diners the exceptional value they deserve.
About The Opportunity
As a Sr Analyst - Merchant Network Strategy &amp; Analytics you will be responsible for analyzing complex data sets, identifying trends, and providing actionable insights that directly impact strategic decision-making and drive business growth. You will also be the architect of a connected ecosystem of dashboards and reports that empower teams across the business to move faster, smarter, and more confidently. This involves executing advanced analyses, improving reporting processes, and collaborating closely with senior leadership to address critical business challenges.
You will work with cross-functional teams to optimize business performance, implement strategic initiatives, and ensure that business decisions are backed by robust data analysis and reliable 'source of truth' reporting and metrics. Your work will have a direct impact on fostering growth and operational efficiency as well as influencing how key projects are executed and ensuring that the organization stays competitive in a rapidly evolving market.
You will primarily support the Merchant Network team, who is responsible for signing, onboarding, retaining, and growing restaurant partners on Grubhub.
The Impact You Will Make<ul><li>
Analyze Complex Data -Sets: Perform sophisticated analytics to understand critical drivers of business performance, including fraud prevention, customer care, and logistics operations. Leverage your analytical curiosity to proactively uncover data trends, anomalies, and other key insights that can help the company grow faster, reduce costs, and increase profitability.</li><li>
Build and Maintain Dashboard Ecosystems: Develop and manage a connected ecosystem of dashboards and reports across platforms such as Tableau and Redash. Ensure seamless integration and data consistency to support company-wide consumption.</li><li>
Support Cross-Functional Business Leaders: Collaborate with leaders to address business challenges, providing insightful analysis to help them understand the financial implications of their strategies and decisions. Present your findings and recommendations in clear, actionable formats, working with stakeholders to ensure that data-driven solutions are incorporated into business strategies. Influence key decisions with high-quality analysis and insights.</li><li>
Transform Business Requirements into Actionable Insights: Collaborate with cross-functional stakeholders to gather requirements and translate them into intuitive, data-driven dashboards and reporting solutions. Ensure outputs are tailored to drive strategic and operational decisions.</li><li>
Monitor and Report on KPIs: Take ownership of preparing, tracking, monitoring and communicating key performance indicators (KPIs) on a regular, recurring cadence.. Investigate variances and anomalies, identify trends, and communicate findings to Leadership to inform strategic decision-making.</li><li>
Develop and Maintain Financial Models: Design and implement financial models to support key strategic initiatives across various departments. Provide data-driven insights that help guide decision-making related to resource allocation, cost optimization, and performance improvement.</li><li>
Maintain a Central Source of Truth: Establish, document, and maintain a &ldquo;Source of Truth&rdquo; for company-wide metrics. Drive consistency in metric definitions, data sources, and reporting methodologies across the organization.</li><li>
Drive Reporting Automation and Scalability: Identify opportunities to automate recurring reporting tasks and streamline dashboard creation. Build scalable reporting frameworks and reusable templates to support future business growth. Work to optimize reporting tools, dashboards, and data collection methods, ensuring that data presented to stakeholders is both accurate and timely.</li><li>
Drive Continuous Improvement: Look for opportunities to improve data processes, enhance reporting efficiency, and increase the overall impact of analytical outputs.</li><li>
Mentorship and Collaboration: Act as a mentor for junior analysts, helping them to refine their skills and grow within the role. Foster a collaborative environment where analytical best practices are shared across teams and departments.</li><li>
Stay Ahead of Market Trends: Stay informed about industry developments, competitor activities, and emerging technologies. Use this knowledge to refine analyses and make proactive recommendations that help the company stay competitive and innovative.</li></ul>
What You Bring to the Table<ul><li>
Experience: 3-5 years of experience in a Data, Business Intelligence, or Analytics role, with a proven track record of leading advanced data analyses and providing actionable insights that inform strategic business decisions, and a demonstrated ability to develop impactful dashboards and reporting tools that drive business decision-making.</li><li>
Education: Bachelor&rsquo;s degree in Business, Finance, Economics, Statistics, Mathematics, Data Analytics, Computer Science, or a related field. An advanced degree or certifications in data science, business analytics, or related areas is a plus.</li><li>
Technical Skills:</li><li>
Advanced proficiency in data analysis tools such as Excel, SQL, and data visualization platforms (e.g., Tableau, Power BI).</li><li>
Familiarity with data modeling, cleaning, and transformation best practices.</li><li>
Exposure to Python for data analysis, modeling &amp; automation, analysis, and data pipeline optimization is preferred.</li><li>
Understanding of statistical concepts and techniques, including regression analysis, hypothesis testing, and forecasting is a plus.</li><li>
Comfortable balancing speed and accuracy while developing scalable reporting solutions.</li><li>
Experience with data cleaning, transformation, and analysis processes.</li><li>
Analytical Expertise: Expertise in interpreting complex data sets and delivering clear, actionable insights. Ability to manage large-scale data projects, identify emerging trends, and provide recommendations that drive significant business impact. Strong sense of ownership over data quality, structure, and reporting consistency.</li><li>
Business Acumen: Strong understanding of business strategy, financial modeling, and operational metrics. Ability to synthesize data into strategic recommendations that drive profitability, operational efficiency, and growth. Ability to frame analytical findings within a business context and influence decisions with data.</li><li>
Problem-Solving and Strategic Thinking: Strong critical thinking and problem-solving abilities, with the capability to address business challenges at a strategic level. Ability to lead and implement data-driven solutions to complex problems.</li><li>
Communication Skills: Exceptional written and verbal communication abilities, adept at presenting data insights to diverse audiences, including executive leadership. Proven ability to influence business decisions by translating complex data into accessible and actionable information for both technical and non-technical stakeholders.</li><li>
Attention to Detail and Accuracy: High level of precision and accuracy in data analysis, with the ability to manage multiple tasks while maintaining a focus on quality and integrity.</li><li>
Adaptability and Innovation: Ability to adapt quickly to changing business needs and drive continuous improvement with evolving data tools and analytics techniques. Agile mindset with a passion for continuous learning</li></ul>
As a matter of company policy, Wonder does not sponsor applicants for employment visa status for this role.
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome&mdash;and encouraged&mdash;to be in the office up to 5 days a week if it works for you.
#LI-Hybrid
New York: $128,000 per year
Illinois: $115,000 per year
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.
Benefits
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A Final Note
At Wonder, we build the best teams by hiring with an objective lens &mdash; evaluating people for their potential while championing diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. As part of our commitment to fair and compliant hiring practices, Wonder participates in the federal government's E-Verify program to confirm employment eligibility. If you need an accommodation during the interview process, please let your recruiter know.
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.</div>

Sr Analyst - Merchant Network Strategy & Analytics

Motorola Solutions

<div>
 
 Company Overview
 
 
 
 At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that&rsquo;s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.
 
 
 
 Department Overview
 
 
 
 Motorola Solutions, Inc.
 
 
 
 Job Description
 
 
 
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 Develop and implement analytics techniques to transform data into meaningful information using data-oriented programming languages, visualization software, data modeling, and machine learning to extract and analyze information.
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 Research, evaluate, and test the latest Artificial Intelligence (AI)/ Machine Learning (ML) tools, protocols, and platforms to identify opportunities for internal adoption and technological advancement.
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 Provide AI solution architecture support for business initiative and design end-to-end AI solutions that leverage emerging technologies to fulfill complex organizational requirements.
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 Develop rapid functional AI/ML prototypes and proof-of-concept (PoC) applications to showcase advanced capabilities to internal and external stakeholders to drive business innovation.
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 Design and implement one-off custom AI and ML use cases, utilizing cloud services and APIs to build scalable solutions that integrate seamlessly into existing enterprise applications.
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 Provide technical consulting support and feedback for ongoing AI use cases, enhancements, and troubleshooting issues to ensure solution stability.
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 Translate complex technical AI concepts into accessible language to ensure internal employees at all levels understand the functionality and value of available AI tools.
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 Analyze, manipulate, and process large sets of data and visualize, interpret, and report data findings to support organizational goals.
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 Telecommuting permitted from anywhere within the United States.
 
 
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 Target Base Salary Range: $96,928 to $131,800 USD
 
 
 Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate
 
 
 Basic Requirements
 
 
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 Masters degree + 1 years experience or
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 Bachelors degree + 3 years experience.
 
 
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 Travel Requirements
 
 
 None
 
 
 Relocation Provided
 
 
 None
 
 
 Position Type
 
 
 Experienced
 
 
 Referral Payment Plan
 
 
 No
 
 
 
 Our U.S. Benefits Include
 
 
 
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 Incentive Bonus Plans
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 Medical, Dental, Vision benefits
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 401K with Company Match
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 10 Paid Holidays
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 Generous Paid Time Off Packages
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 Employee Stock Purchase Plan
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 Paid Parental &amp; Family Leave
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 and more!
 
 
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 EEO Statement
 
 
 
 
 Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.
 
 
 We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.
 
 
 We&rsquo;re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form so we can assist you.
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Machine Learning Engineer

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