Data engineer jobs in Elgin, IL - 3,299 jobs

Contrast is building the future of healthcare - where artificial intelligence, automation technology, and electronic healthcare records converge to revolutionize patient care, streamline processes, and create a lasting impact on the well-being of society. Our team believes the following qualities, combined with a relentless drive, will propel us towards our goal of building industry-changing solutions. If this resonates with you, we're eager to meet. Passion for Healthcare A deep-seated commitment to revolutionizing healthcare through technology, and an understanding of the unique challenges and nuances of the industry. Technical Excellence While specific skills vary by role, a foundational understanding of technology's potential in healthcare is crucial. We seek those who are eager to expand upon this knowledge. Resilience & Adaptability The startup journey is filled with highs and lows. We seek individuals who can navigate these fluctuations, adapt quickly, and remain undeterred by setbacks. The belief that the best results arise from team efforts. Candidates should possess the ability to communicate effectively and work with diverse groups. Ethical Integrity Upholding the highest standards of ethical behavior and understanding the profound responsibility we have in the healthcare sector. About the role Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team. As part of Contrast AI, you will work on cutting-edge AI solutions, contributing to the development of intelligent systems that push the boundaries of machine learning and data-driven technologies. You will collaborate closely with our software engineers and data scientists to design, implement, and optimize AI models that address real-world challenges for our clients. What you'll do Design, develop, and deploy machine learning models for various AI-powered applications. Work with large datasets to build, train, and evaluate predictive models and algorithms. Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions. Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights. Optimize models for performance and scalability in production environments. Stay up-to-date with the latest developments in AI and machine learning, implementing best practices to ensure robust and efficient models. Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency. Mentor junior team members and contribute to knowledge sharing across the team. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields. Strong background in machine learning algorithms, statistical modeling, and data analysis. Proficiency in Python, R, or a similar programming language for data manipulation and model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Solid understanding of data structures, algorithms, and software development principles. Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models. Familiarity with data visualization tools like Matplotlib, Seaborn, or similar. Excellent problem-solving skills, with a proactive and collaborative approach to work. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with deep learning, reinforcement learning, or natural language processing. Knowledge of big data technologies such as Hadoop or Spark. Prior experience working in an AI-driven company or startup environment. Compensation: The base compensation range for the role is: $130,000 - $150,000 based on leveling and desired cash/equity split. Philosophically, we lean towards generous equity grants so that our team truly gets to share in the impact they create. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. Why Work at Contrast: 4 remote weeks per year - work from anywhere. Daily meals in our downtown Chicago office. Work with cutting-edge AI technology that improves the quality of life for healthcare providers and patient care. Dedicated time and budget for personal development, including access to world-class mentors and advisors. Collaborate with a world-class, diverse team that is deeply mission-aligned. Ownership over your success with the ability to significantly impact company growth. Our supporters include top-tier Silicon Valley venture firms, leading minds in AI, and healthcare industry leaders. Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare. For more information about our company and culture, visit our website . The pay range for this role is: 130,000 - 150,000 USD per year (Chicago, IL) #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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. Chicago, IL: $179,400 - $204,700 for Lead Data Engineer McLean, VA: $197,300 - $225,100 for Lead Data Engineer Richmond, VA: $179,400 - $204,700 for Lead Data Engineer Riverwoods, IL: $179,400 - $204,700 for Lead Data Engineer 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'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's Fair Chance Act; Philadelphia'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 ************** 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 ********************** 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).

Be a part of our success story Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch! The Role Launch is actively seeking a visionary Technology Leader, Data Platform Engineering to architect and deliver enterprise data platforms while driving transformational outcomes for clients. This role combines deep technical expertise in modern data platforms with strategic consulting capabilities. You will lead implementations using Azure Fabric, Snowflake, and Databricks, leveraging AI-native development tools to accelerate delivery and maintain engineering rigor. Responsibilities Include Lead enterprise data platform transformations, architecting scalable solutions on Azure Fabric, Snowflake, and Databricks. Design modern data architectures supporting real-time analytics, ML workloads, and AI agent integration. Drive technical pre-sales including solution architecture, proposal development, and executive presentations. Implement AI-native development workflows using Claude Code, GitHub Copilot, and MCP servers. Establish engineering practices leveraging AI tools for pipeline development, testing automation, and intelligent data quality monitoring. Architect solutions using Azure Fabric, Snowflake, and Databricks with governance and compliance frameworks. Recruit and develop high-performing data engineers and architects. Mentor teams on effective use of AI development tools while reinforcing engineering fundamentals. Contribute to business development through active participation in sales cycles and strategic partnership development. Qualifications Must-Have 12+ years in enterprise data platform engineering, with 5+ years in consulting or client-facing delivery roles. Proven track record leading platform transformations with project budgets exceeding $10M. Strong executive presence and ability to influence C-suite stakeholders. Expert-level proficiency in Azure Fabric, Snowflake, and Databricks. Hands-on experience with AI-native development tools (Claude Code, MCP servers, GitHub Copilot). Proficiency in modern data stack: dbt Labs, Airflow, Kafka, vector databases, and real-time streaming. Strong programming skills in Python, SQL, and infrastructure-as-code (Terraform, Bicep). Nice-to-Have Certifications: Azure Solutions Architect Expert (AZ-305), SnowPro Advanced, Databricks Data Engineer Professional. Industry-specific certifications in financial services, healthcare, retail, or manufacturing. Compensation & Benefits As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits-medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $220,000 - $245,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $120,000 - $140,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

w/option to extend or convert to perm The Senior Developer Consultant will be responsible for upgrading, configuring, and debugging existing business applications. Primary responsibility will be to provide technical support for core business applications, improve processes and ensure that they continue to run efficiently and reliably. The Senior Consultant will carry out development tasks and participate in the daily maintenance of the business systems including the investigation of errors, corrections of functionality or restoration of data/database integrity. A commitment to collaborative problem solving and quality product is essential. Responsibilities: Prioritize requests according to business impact and need. Hands-on design & development across a broad range of products, technologies & methodologies. Responsible for the development and integration of new or existing applications into the technical infrastructure and existing business processes. Participate in the data model review meetings (for data integration and modeling best practices). Analyze, Design and Review business requirements with Business Process Analyst and clients and craft scalable, flexible, and resilient architectures that address customer business problems. Responsible for the design, development, testing, tuning and implementation of Applications. Participate in code reviews and technical design/specifications to help maintain code quality, organization, and automatization. Identify bottlenecks and bugs, and devise solutions to mitigate these issues. Successfully manage deliverables while balancing project timelines and unanticipated issues. Perform support and maintenance tasks to address production issues reported by business users. Ensure that all applications well documented, thoroughly tested and debugged, and adhere to corporate and industry standards. Qualifications: 10 years of software development experience. Excellent analytical, inter-personal and communication skills with a strong technical background. Willingness to learn complex systems and figure out steps needed to troubleshoot issues. 4+ years of strong knowledge and proficiency in C#, VB.Net, JavaScript or similar programming languages. Previous experience working with APIs, REST Services and JSON. 2 - 5 years of experience on Oracle/SQL Server/PostgreSQL Database side development. Proficient with ETL programming, performance tuning, requirements gathering, data analysis, data modeling, database design and Integration, Data Conversion, Data Migration, Data Masking and Data Cleansing and Standardization. Familiarity with SSIS, SSRS is desirable. Experience with Azure Dev Ops (ADO). The anticipated hourly rate range for this position is ($65-72/hr). Actual hourly rate will be based on a variety of factors including relevant experience, knowledge, skills and other factors permitted by law. A range of medical, dental, retirement and/or other benefits are available after a waiting period.

Job Title: Senior Cloud DevOps Engineer Duration: 11+ Months Contract Notes: Details of the request include: • Must-have skill requirements of the role: o Expertise in Azure cloud services (AKS, FrontDoor, Key Vaults, APIM, App Gateway) o CI/CD automation using GitHub Actions and Gradle o Infrastructure as Code with Terraform o Containerization (Docker) and orchestration (Kubernetes) o Monitoring tools (Dynatrace, Azure Monitor) o Strong scripting skills (Python, Go, Java, Bash) o Networking fundamentals (TCP/IP, DNS, Load Balancers) o Familiarity with databases (Azure SQL, Snowflake, Redis) and messaging systems (Confluent Kafka) Contract Description: The Senior Cloud DevOps Engineer will join the Platform Scrum team and support all Domain Teams to enhance and maintain CI/CD pipelines solution. This role focuses on designing, building, and maintaining scalable cloud infrastructure using Azure and Pivotal Cloud Foundry, implementing automation, and ensuring system reliability. The position requires strong collaboration across development and operations teams to deliver secure, efficient software solutions aligned with business objectives. Design, deploy, and manage scalable cloud infrastructure on Azure, leveraging services such as AKS, FrontDoor, Key Vaults, APIM, and App Gateway. Develop and maintain automated CI/CD pipelines using GitHub Actions and Gradle for efficient software delivery. Implement Infrastructure as Code (IaC) using Terraform to provision and manage environments. Manage containerized applications with Docker and orchestrate deployments using Kubernetes (AKS). Ensure system reliability through monitoring, logging, and alerting using tools like Dynatrace and Azure Monitor. Qualifications: Bachelor's degree or equivalent experience, with at least 5 years in DevOps or Software Engineering roles. Deep expertise in Azure cloud services and proficiency with Terraform for IaC. Hands-on experience with CI/CD tools (GitHub Actions, Gradle), containerization (Docker), and orchestration (Kubernetes). Strong scripting skills in Python, Go, Java, and Bash, plus solid networking knowledge (TCP/IP, DNS, Load Balancers). Familiarity with relational and non-relational databases (Azure SQL, Snowflake, Redis) and messaging systems like Confluent Kafka. Experience mitigating Sonar, Checkmarx, CAST scans. This is a hybrid role that requires working at the Client site 3 days per week based out of their Chicago office.

**Employee Type:** Full time **Job Type:** Information Technology Data Management **Job Posting Title:** Supply Chain Data Scientist **About Us** **:** TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values- **Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together.** We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. **What You G** **ain** **:** + Competitive compensation and benefits program with no waiting period - you're eligible from your first day! + 401(k) program with 5% employer match and 100% vesting as soon as you enroll. + Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). + Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. + An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. + Access to our wellness and employee assistance programs. **Job Description:** **_About the Role:_** Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. **_You'll add value to this role by performing various functions including, but not limited to:_** + Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. + Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. + Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. + Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. + Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. + Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. + Other duties as assigned. **_Important Details_** **_:_** + This is a hybrid role on first shift in Oak Brook, IL. + The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. **_You'll fit right in if you have:_** + Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. + 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. + Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. + Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). + Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. + A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. **Your TreeHouse Foods Career is Just a Click Away!** Click on the "Apply" button or go directly to ****************************** to let us know you're ready to join our team! _At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time"._ _TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact_ _disability-accommodations@treehousefoods.com_ TreeHouse Use Only: #IND1 TreeHouse Foods is a private label food and beverage leader focused on customer brands and custom products. When customers partner with TreeHouse they can expect access to an industry-leading portfolio, strategic vision, on-trend innovation and insights, world-class supply chain, operational excellence and flexibility, collaborative approaches, and dedicated customer service. Our strategy is to be the leading supplier of private label food and beverage products by providing the best balance of quality and cost to our customers. We engage with retail grocery, food away from home, and industrial and export customers, including most of the leading grocery retailers and foodservice operators in the United States and Canada. Our portfolio includes a variety of shelf-stable, refrigerated, and snack products. Customers can expect comprehensive flavor profiles including natural, organic, and preservative-free ingredients in many categories and packaging formats. TreeHouse Foods is best known for food and beverages produced by our two largest businesses Bay Valley Foods, LLC (including E.D. Smith and Sturm Foods) and TreeHouse Private Brands. With more than 10,000 employees in over 26 plants across the United States and Canada, TreeHouse Foods is based in Oak Brook, Illinois. **Recruitment Fraud Alert** We want to ensure your career journey with TreeHouse Foods is safe and secure. Scammers may attempt to impersonate our company by sending fake job offers, interview, and sensitive document requests. If you receive an email claiming to be from us, always verify the sender's email address-it should match our official company domain (@treehousefoods.com) exactly. We will _never_ ask for payment, financial, or personal information and documents as part of our interview process. If you suspect fraudulent activity, please contact us directly by visiting the Contact page on our website (****************************************************** . Stay vigilant to protect yourself from recruitment scams. **Disability Assistance and EEO Considerations:** At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time." TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com **To all recruitment agencies:** TreeHouse Foods does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Treehouse Foods employees, or any company location(s). TreeHouse Foods is not responsible for any fees related to unsolicited resumes/CVs.

SummaryWomen's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks. As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GEHC business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** In this role, you will: Work with customers to capture data and analytics requirements Develop, verify, and validate analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Requirements: Education- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) Master's or PhD is advantageous Minimum of 6 years of professional experience in AI product development. Technical Expertise- Demonstrated skill in data management methods Demonstrated skill in feature extraction and realtime analytics development and deployment Demonstrated skill in prescriptive analytics and analytic prototyping Specific skills include- Proficiency in python and deep learning frameworks such as Tensorflow, PyTorch and open CV Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs, vision transformers, and self-supervised learning. Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Domain Knowledge- Experience in medical device development is considered a strong asset. Demonstrated skill in defining and delivering customer value in these areas Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in presentation and influencing skills Desired Characteristics: Undergraduate or graduate studies in biomedical engineering is highly desired Experience with multimodal data integration and systems combining images, video, and speech is highly desired. Experience with cloud computing platform, such as AWS or Azure is highly desired. Experience working with robotic simulation is desired. Experience in medical imaging AI development is highly desired Background in robotics or automation technologies is advantageous. Background in automated vehicle or robotic guidance is highly desired #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $135,520.00-$203,280.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop automated analytics products and conduct sophisticated data analysis to address critical business and client questions. You will design, implement, and deploy advanced data science solutions across multiple domains, translating complex findings into actionable insights that improve clinical, operational, and economic outcomes. You will guide data scientists, lead the design of predictive, machine learning, and generative AI approaches, and ensure high-quality, scalable analytic solutions that support organizational objectives. Responsibilities: * Lead the design and implementation of advanced machine learning, generative AI, statistical modeling, and unsupervised learning approaches across structured and unstructured data. * Build and deploy scalable, automated data science products and reusable analytic assets across multiple projects and domains. * Analyze large-scale, high-dimensional datasets using Python, R, SQL, and distributed computing platforms to identify trends and actionable insights. * Apply deep expertise across end-to-end data science workflows, including data discovery, feature engineering, validation, and insight publishing. * Translate complex analytical outputs into clear dashboards, reports, and presentations for technical and non-technical audiences. * Make key analytic and architectural design decisions, define project goals based on strategic business needs, and own final solution outcomes. * Apply expert-level proficiency in programming languages and advanced analytics platforms, including cloud-based and distributed frameworks. * Lead code development and reviews, establish best practices, and mentor data scientists in advanced modeling and responsible AI usage. * Evaluate and adopt emerging tools, advanced frameworks, and generative AI technologies to continuously enhance analytical capabilities and workflows. * Partner with engineering and platform teams to support production deployment, monitoring, and lifecycle management of machine learning and generative AI models. * Implement responsible AI and model governance practices, including documentation, explainability, bias assessment, and validation standards. * Collaborate with cross-functional teams to integrate advanced analytics and AI solutions into products, workflows, and business processes. * Apply a solutions-oriented mindset to complex, multi-project initiatives and make autonomous decisions on data science deliverables aligned with enterprise objectives. Qualifications: * Relevant degree preferred. Advanced degree in applied mathematics, statistics, computer science, econometrics, or a related field is a plus. * 7 or more years of relevant experience required. * Proven ability to apply advanced modeling, forecasting, anomaly detection, and natural language processing required. * Demonstrated advanced knowledge of data science methodologies, statistical modeling, machine learning, and generative AI techniques required. * Strong understanding of Natural Language Processing (NLP) techniques, including text classification, sentiment analysis, information extraction, and Large Language Model (LLM)-based approaches required. * Expertise in programming languages such as Python, R, SAS, SQL, or similar tools required. * Knowledge of responsible AI principles, including model explainability, bias detection, fairness assessment, and ethical use of data. * Experience deploying, monitoring, and maintaining machine learning and generative AI models in production environments. * Experience implementing model governance practices such as documentation standards, version control, validation protocols, and audit readiness. * Experience working with cloud-based and distributed data platforms and modern analytics frameworks such as Databricks. * Strong analytical, problem-solving, communication, and presentation skills with the ability to convey complex concepts to non-technical audiences. * Experience guiding or mentoring data scientists. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: ****************************************** Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

About Jorie: Jorie AI, occupies a uniquely interconnected position at the center of the healthcare industry. An inseparable part of today's healthcare billing ecosystem, with leading edge technology that is driving transformation with AI infused Robotic Process Automation for end-to-end Revenue Cycle Management, providing practice and financial management services to the healthcare industry. Applied Intelligence, Better Insight, Accelerated Efficiencies with Jorie AI. Our work environment: Remote opportunities Growth advancement opportunities Flexible work environment (Work-life Balance) Collaborative and friendly company culture Pay: $110-$150K Job Title: Data Scientist Job Overview: We are seeking a highly skilled Data Scientist with strong Healthcare Revenue Cycle Management (RCM) expertise to join our Data Science and Engineering Team. The primary responsibility for this role is to build high-quality, client facing RCM dashboards using Power BI that provide executives and operations teams with actionable insights. The Ideal candidate understands the full RCM ecosystem, charges, payments, write-offs, denials, AR gaining, coding workflows, payor reimbursement behavior and has advanced analytics skills to translate raw data into meaningful metrics. They should also have experience with Databricks, distributed data processing, predictive modeling, and agile documentation tolls like Confluence and Jira. This role is highly collaborative and client-facing supporting data discovery, dashboard development, and interpreting insights that drive RCM performance improvement. Responsibilities: Power BI Dashboard Development (Primary Responsibility) Build end-to-end RCM dashboards in Power BI for new and existing clients. Transform raw encounter, claims, payment, AR, and denial data into intuitive visualizations. Develop KPI frameworks and executive-level dashboards (e.g., collections, denials, AR performance, coding trends). Optimize data models for performance, accuracy, and refresh reliability. Ensure all dashboards adhere to internal design standards, naming conventions, and SOPs. RCM Analytics & Insight Generation Analyze healthcare RCM datasets to uncover trends, bottlenecks, and improvement opportunities. Work directly with RCM and client teams to understand workflows and convert business rules into measurable KPIs. Provide data-driven recommendations to improve reimbursement, throughput, and operational efficiency. Data Engineering & Databricks Collaboration Use Databricks for data discovery, transformation, and validation. Troubleshoot data quality issues and partner with engineers to ensure accurate pipeline execution. Validate that received client data aligns with expected volume, structure, and completeness. Predictive Modeling & Advanced Analytics (Secondary Responsibility) Develop predictive models such as denial prediction, payment probability, and cashflow forecasting. Support innovation in analytics across the department. Project Management, Documentation & Collaboration Use Jira to manage spring tasks, dashboard documentation, metric definitions, and process notes in Confluence. Support onboarding calls, requirements intake, and client data mapping sessions. Required Qualifications: Bachelor's or Master's degree in data science, Statistics, Health Informatics, Computer Science, or related field. 3-5+ years of hands-on experience in healthcare RCM analytics (claims, billing, AR, payments, denials). 2+ years of building Power BI dashboards with strong DAX and modeling skills. Strong SQL skills and familiarity with large-scale healthcare datasets. Experience working with Databricks Proven ability to translate business and RCM requirements into dashboards and KPIs. Experience using Confluence and Jira in an agile environment. Excellent communication skills with the ability to present insights to clients. Strong understanding of HIPAA regulations and healthcare data security. Preferred Qualifications Experience with Azure (ADLS, AKV, ADF). Experience automating data ingestion (API, SFTP, RPA). Familiarity with Tableau (not required, but helpful). Prior consulting or client-facing analytics experience. Background supporting medical groups, billing companies, or RCM vendors. Core Competencies Strong analytical and critical thinking Clear and concise communication Detail-orientation and accuracy in analysis Results-driven mindset Ability to manage multiple clients and tasks simultaneously Collaborative and willing to work cross-functionally What We Offer The opportunity to build analytics dashboards that clients rely on to run their business Fast-paced environment with significant impact Growth in predictive analytics, automation, and large-scale data engineering Collaborative team culture within Data Science & Engineering

Role: Application Architect Duration: 10 Months Contract Role This job is responsible for the execution of data architectural solutions for complex initiatives that span multiple Lines of Business and control functions. Key responsibilities include facilitating solution driven discussions, working with stakeholders to support adherence to the enterprise data management policy and standards, and supporting architecture design reviews to ensure integration of data architecture principles in technology solutions. Job expectations include educating data management teams on enterprise data architectural principles and data management processes and routines. Job Description We are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. Position Summary We are seeking a highly skilled and experienced Senior Data Architect with a strong focus on cybersecurity. As a Senior Data Architect, you will be responsible for designing secure and scalable architecture solutions to safeguard our organization's critical information assets. You will work closely with cross-functional teams to ensure that data-centric security measures align with business needs and compliance requirements. The ideal candidate will possess in-depth knowledge of cybersecurity principles, data management best practices and have a proven track record of successfully implementing a monitoring and logging strategy in both structured and unstructured data within a big data environment. Required skills * Expertise in major cloud platforms such as AWS, Azure, and Google Cloud Platform (GCP) * Hands-on experience working with or implementing data fabric technology (Starburst) * Working knowledge of the Open Cybersecurity Schema Framework (OCSF) * Bachelor's or master's degree in computer science, Information Technology, or related field. Or equivalent experience. * 5+ years proven experience as a Data Architect or similar role with a focus on designing and implementing complex data architecture. * Strong knowledge of data management principles, data modeling techniques and data integration patterns. * In-depth understanding of data security, data privacy, and data governance concepts. * Hands on experience with data modeling tools (SAP PowerDesigner, Erwin Data Modeler), database management systems, big data environments and ETL tools. * Excellent problem-solving skills and the ability to analyze complex data related challenges * Strong communication and collaboration skills to work effectively with cross-functional teams * Project management experience with the ability to handle multiple initiatives concurrently. * 5-10+ years' experience in relational and dimensional data modeling as well as metadata build and management. * Hands on expertise in relational and NOSQL database systems. Strong SQL and Python skills are a must. * Thorough understanding of real time, batch, and event-based data provisioning. * Hands on experience in ETL/ELT and API based data provisioning patterns. * Needs to be a skilled communicator with tools like Visio, PowerPoint, and be able to quickly put together and present ideas to large groups clearly and effectively. * Strong Excel skills experience working with large amounts of data, conducting analysis and present findings * Hands-on design and implementation experience with one/more of the following data tools: * Data Analysis / Profiling - Python (Jupyterlab, PyCharm, etc.), Toad, MySQL * Data Platforms - Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk * Databases: Relational, Warehouse, Graph, Key-Value, Document, In-Memory, Caching, Wide-Column, Time-Series, Ledger * Data Transformation - Informatica, SSIS, Alteryx, Trifacta * BI - Tableau, Microstrategy, metadata/lineage tools, Distributed Caching tools. * In-depth understanding of Data Governance process - identify critical data elements, metadata, data lineage, data dictionary, data model, Data Sharing Agreements, Service Level Agreements, Data Management Standards. * 5+ years experience with Data Quality measurements/Scorecards, Control, Remediation along with Data reconciliation techniques. * Able to independently architect solutions, lead code reviews and ensure quality throughout the life of each project. * Experience working as part of the Agile team and using Agile SDLS tools Desired Skills: * Opens Cybersecurity Schema Framework (OCSF) * Common Information Models (CIM)s * ServiceNow * Hybrid data mesh + data fabric fluency, Starburst/Trino * Lakehouse foundations open table formats * Event streaming CDC * Vector search RAG data design * LLMOps integration for data * AI governance standards * Operational data governance privacy * End to end lineage standards * Data contracts domain data products * Data/AI observability * Zero Trust data architecture * Data Profiling, Data Cleansing, Data quality controls, Data Visualizations * Dimensional, Data Vault, Anchor and semantic modeling * Metadata, Lineage, Data Catalogs * Data Build Tool (dbt) * Knowledgeable in Cybersecurity, Audit and regulatory concerns. * Experience with next generation tools and technologies is a plus (AI/ML, RPA etc.) * Industry certifications such as Certified Data Management Professional (CDMP) or TOGAF are a plus EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or ************. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Apex team member can provide. Employee Type: Contract Location: Chicago, IL, US Job Type: Date Posted: January 7, 2026 Pay Range: $60 - $73 per hour Similar Jobs * Data Consultant III * Data Entry Consultant * Salesforce Data Cloud Technical Consultant * Senior Data & Analytics Consultant * Domain Consultant

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills Please note: any degree programs (including part-time) must be completed before starting at BCG. TECHNOLOGIES: Programming Languages: Python Additional info You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites. FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

About the role Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team. As part of Contrast AI, you will work on cutting-edge AI solutions, contributing to the development of intelligent systems that push the boundaries of machine learning and data-driven technologies. You will collaborate closely with our software engineers and data scientists to design, implement, and optimize AI models that address real-world challenges for our clients. What you'll do Design, develop, and deploy machine learning models for various AI-powered applications. Work with large datasets to build, train, and evaluate predictive models and algorithms. Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions. Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights. Optimize models for performance and scalability in production environments. Stay up-to-date with the latest developments in AI and machine learning, implementing best practices to ensure robust and efficient models. Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency. Mentor junior team members and contribute to knowledge sharing across the team. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields. Strong background in machine learning algorithms, statistical modeling, and data analysis. Proficiency in Python, R, or a similar programming language for data manipulation and model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Solid understanding of data structures, algorithms, and software development principles. Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models. Familiarity with data visualization tools like Matplotlib, Seaborn, or similar. Excellent problem-solving skills, with a proactive and collaborative approach to work. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with deep learning, reinforcement learning, or natural language processing. Knowledge of big data technologies such as Hadoop or Spark. Prior experience working in an AI-driven company or startup environment. Compensation: The base compensation range for the role is: $130,000 - $150,000 based on leveling and desired cash/equity split. Philosophically, we lean towards generous equity grants so that our team truly gets to share in the impact they create. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. Why Work at Contrast: 4 remote weeks per year - work from anywhere. Daily meals in our downtown Chicago office. Work with cutting-edge AI technology that improves the quality of life for healthcare providers and patient care. Dedicated time and budget for personal development, including access to world-class mentors and advisors. Collaborate with a world-class, diverse team that is deeply mission-aligned. Ownership over your success with the ability to significantly impact company growth. Our supporters include top-tier Silicon Valley venture firms, leading minds in AI, and healthcare industry leaders. Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare. For more information about our company and culture, visit our website.

Candidates can live within commutable distance to any Slalom office in the US. We have a hybrid and flexible environment. Who You'll Work With As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. We are seeking an experienced Cloud Data Migration Architect with deep expertise in SQL Server, Oracle, DB2, or a combination of these platforms, to lead the design, migration, and optimization of scalable database solutions in the AWS cloud. This role will focus on modernizing on-premises database systems by architecting high-performance, secure, and reliable AWS-hosted solutions. As a key technical leader, you will work closely with data engineers, cloud architects, and business stakeholders to define data strategies, lead complex database migrations, build out ETL pipelines, and optimize performance across legacy and cloud-native environments. What You'll Do * Design and optimize database solutions on AWS, including Amazon RDS, EC2-hosted instances, and advanced configurations like SQL Server Always On or Oracle RAC (Real Application Clusters). * Lead and execute cloud database migrations using AWS Database Migration Service (DMS), Schema Conversion Tool (SCT), and custom automation tools. * Architect high-performance database schemas, indexing strategies, partitioning models, and query optimization techniques. * Optimize complex SQL queries, stored procedures, functions, and views to ensure performance and scalability in the cloud. * Implement high-availability and disaster recovery (HA/DR) strategies including Always-On, Failover Clusters, Log Shipping, and Replication, tailored to each RDBMS. * Ensure security best practices are followed including IAM-based access control, encryption, and compliance with industry standards. * Collaborate with DevOps teams to implement Infrastructure-as-Code (IaC) using tools like Terraform, CloudFormation, or AWS CDK. * Monitor performance using tools such as AWS CloudWatch, Performance Insights, Query Store, Dynamic Management Views (DMVs), or Oracle-native tools. * Work with software engineers and data teams to integrate cloud databases into enterprise applications and analytics platforms. What You'll Bring * 5+ years of experience in database architecture, design, and administration with at least one of the following: SQL Server, Oracle, or DB2. * Expertise in one or more of the following RDBMS platforms: Microsoft SQL Server, Oracle, DB2. * Hands-on experience with AWS database services (RDS, EC2-hosted databases). * Strong understanding of HA/DR solutions and cloud database design patterns. * Experience with ETL development and data integration, using tools such as SSIS, AWS Glue, or custom solutions. * Familiarity with AWS networking components (VPCs, security groups) and hybrid cloud connectivity. * Strong troubleshooting and analytical skills to resolve complex database and performance issues. * Ability to work independently and lead database modernization initiatives in collaboration with engineering and client stakeholders. Nice to Have * AWS certifications such as AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional. * Experience with NoSQL databases or hybrid data architectures. * Knowledge of analytics and big data tools (e.g., Snowflake, Redshift, Athena, Power BI, Tableau). * Familiarity with containerization (Docker, Kubernetes) and serverless technologies (AWS Lambda, Fargate). * Experience with DB2 on-premise or cloud-hosted environments. About Us Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries collaborate with clients to bring powerful customer experiences, innovative ways of working, and new products and services to life. We are trusted by leaders across the Global 1000, many successful enterprise and mid-market companies, and 500+ public sector organizations to improve operations, drive growth, and create value. At Slalom, we believe that together, we can move faster, dream bigger, and build better tomorrows for all. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance. Slalom is committed to fair and equitable compensation practices. For this position, the target base salary pay range in the following locations: Boston, Houston, Los Angeles, Orange County, Seattle, San Diego, Washington DC, New York, New Jersey, for Consultant level is $105,000-147,000 and for Senior Consultant level it is $120,000-$169,000 and for Principal level it is $133,000-$187,000. In all other markets, the target base salary pay range for Consultant level is $96,000-$135,000 and for Senior Consultant level it is $110,000-$155,000 and for Principal level it is $122,000-$172,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time. EEO and Accommodations Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process. We will accept applications until 1/31/2026 or until the positions are filled.

The Company Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. We're a fast growing, publicly traded company (NYSE: ZWS), with an enduring reputation for integrity, giving back, and providing an engaging, inclusive environment where careers flourish and grow. Named by Newsweek as One of America's Most Responsible Companies and an Energage USA Top Workplace, at Zurn Elkay Water Solutions Corporation, we never forget that our people are at the center of what makes us successful. They are the driving force behind our superior quality, product ingenuity, and exceptional customer experience. Our commitment to our people and their professional development is a recipe for success that has fueled our growth for over 100 years, as one of today's leading international suppliers of plumbing and water delivery solutions. Headquartered in Milwaukee, WI, Zurn Elkay Water Solutions Corporation employs over 2800 employees worldwide, working from 24 locations across the U.S., China, Canada, Dubai, and Mexico, with sales offices available around the globe. We hope you'll visit our website and learn more about Zurn Elkay at zurnelkay.com. If you're ready to join a company where what you do makes a difference and you have pride in the work you are doing, talk to us about joining the Zurn Elkay Water Solutions Corporation family! If you are a current employee, please navigate here to apply internally. Job Description The Lead Data & BI Scientist is a senior-level role that blends advanced data science capabilities with business intelligence leadership. This position is responsible for driving strategic insight generation, building predictive models, and leading analytics initiatives across departments such as sales, marketing, pricing, manufacturing, logistics, supply chain, and finance. The role requires both technical depth and business acumen to ensure that data-driven solutions are aligned with organizational goals and deliver measurable value. Key Accountabilities Strategic Insight & Business Partnership * Partner with business leaders to identify high-impact opportunities and form hypotheses. * Present findings and recommendations to leadership in a clear, impactful manner. * Demonstrate ROI and business value from analytics initiatives. Data Science Leadership * Define and implement data science processes, tools, and governance frameworks. * Mentor junior team members and foster a culture of continuous learning. Advanced Analytics & Modeling * Design, build and validate predictive models, machine learning algorithms and statistical analyses. * Translate complex data into actionable insights for strategic decision-making. Technology & Tools * Utilize tools such as Tableau, Power BI, OBIEE/OAC, Snowflake, SQL, R, Python, and data catalogs. * Stay current with emerging technologies like agentic analytics and AI-driven insights. * Evaluate and recommend BI platforms and data science tools. Project & Change Management * Manage analytics projects from inception to delivery. * Provide training and change management support for new tools and processes. * Lead the establishment of a data science center of excellence. Qualifications/Requirements * Bachelor degree required, in a quantitative field such as engineering, mathematics, science, and/or MIS. Master degree preferred * 10+ years of overall work experience * 7+ years of experience in data science and statistical analysis * Strong understanding and experience with analytics tool such as Tableau and OBIEE/OAC (or similar tools) for reporting and visualization, Snowflake for data storage, data modeling, data prep or ETL tools, R or Python, SQL, and data catalogs. * Strong understanding and experience with multiple statistical and quantitative models and techniques such as (but not limited to) those used for predictive analytics, machine learning, AI, linear models and optimization, clustering, and decision tree. * Deep experience applying data science to solve problems in at least one of the following areas is required. Experience in multiple areas is preferred: marketing, manufacturing, pricing, logistics, sourcing, and sales. * Strong communication (verbal, written) skills, and ability to work with all levels of the organization effectively * Working knowledge of and proven experience applying project management tools * Strong analytical skills * Ability to lead and mentor the work of others * High degree of creativity and latitude is expected Capabilities and Success Factors * Decision Quality - Making good and timely decisions that keep the organization moving forward. * Manages Complexity - Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems. * Plans & Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. * Drives Results - Consistently achieving results, even under tough circumstances. * Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Total Rewards and Benefits * Competitive Salary * Medical, Dental, Vision, STD, LTD, AD&D, and Life Insurance * Matching 401(k) Contribution * Health Savings Account * Up to 3 weeks starting Vacation (may increase with tenure) * 12 Paid Holidays * Annual Bonus Eligibility * Educational Reimbursement * Matching Gift Program * Employee Stock Purchase Plan - purchase company stock at a discount! THIRD PARTY AGENCY: Any unsolicited submissions received from recruitment agencies will be considered property of Zurn Elkay, and we will not be liable for any fees or obligations related to those submissions. Equal Opportunity Employer - Minority/Female/Disability/Veteran

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: * Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD * Design of observational studies (primary and/or secondary data) * Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies * Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications * Ensure efficient planning, execution and reporting of analyses * Advise as subject matter expert in specific data access partnerships * Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed * Contributes to vendor selection with partner functions * Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas * Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance * Mentor and guide junior members of the RWD Analytics team

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. As background, this client has been working with us and internal recruiting to fill this role for a LONG time. Previously, the client was looking for someone who could both technically lead the team specific to SAG technologies and also work with the business. Two things have changed: 1) the span of control of the team increased from SAG to include the other technologies listed in the job description, and 2) he has been unsuccessful in finding someone who was both the best technical architect on the team and also had manager qualities. He is now open to lesser capabilities on the technical, as long as they have the manager. I WOULD TARGET CURRENT/ FORMER SR. MANAGERS/ DIRECTORS OF INTEGRATION/ SOA. PREFERABLY, WERE TECHNICAL AT SOME POINT IN THEIR CAREER, BUT MOVED INTO MANAGEMENT. WITH THIS TARGET, YOU SHOULD BE ABLE TO ACCESS THE APPROPRIATE TALENT AT THIS PAY RATE. Lead ETL Architect Client's is seeking a Lead ETL Architect as a key member of their Center of Expertise for Integration Technologies. This consultant will be primarily responsible for leading the demand intake/ management process with the business leaders and other IT groups related to managing the demand for the design, build and ongoing support of new ETL architectures. They also will interact extensively with the team of architects supporting these technologies. Expertise in one of more of the following integration technology areas is required: -- ETL - Datastage, AnInito, Talend (client is moving from AbInitio to Talend as their primary ETL tool) The overall team is responsible for addressing any architecture impacts and defining technology solution architectures focusing on infrastructure, logical and physical layout of the systems and technologies not limited to hardware, distributed and virtual systems, software, security, data management, storage, backup/recovery, appliances, messaging, networking, work flow, interoperability, flexibility, scalability, monitoring and reliability including fault tolerance and disaster recovery in collaboration with Enterprise Architect(s). Additionally, responsible for the build-out and ongoing run support of these integration platforms. Skills Set · Possession of fundamental skills of a solution architect with ability to inquire and resolve vague requirements · Ability to analyze existing systems through an interview process with technology SMEs. Does not need to be the SME. · Takes a holistic view and communicate to others to be able to understand the enterprise view to ensure coherence of all aspects of the project as an integrated system · Perform gap analysis between current state and the future state architecture to identify single points of failure, capabilities, capacity, fault tolerance, hours of operation (SLA), change windows, · Strong verbal and written communication with proven skills in facilitating the design sessions. · Able to influence, conceptualize, visualize and communicate the target architecture. · Able to communicate complex technical or architecture concepts in a simple manner and can adapt to different audiences · Ability to work independently and market architecture best practices, guidelines, standards, principles, and patterns while working with infrastructure and technology project teams. · Ability to document end-to-end application transaction flows through the enterprise · Ability to document the technology architecture decision process, and if required develop relevant templates · Resolve conflicts within infrastructure and application teams, business units and other architects · Identify opportunities to cut cost without sacrificing the overall business goals. · Ability to estimate the financial impact of solution architecture alternatives / options · Knowledge of all components of an enterprise technical architecture. Additional Information ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Contract job opportunity for you. Only US Citizen , Green Card Holder , GC-EAD , H4-EAD, L2-EAD, OPT-EAD & TN-Visa can apply. No H1B candidates, please. Please mention your Visa Status in your email or resume . ** All your information will be kept confidential according to EEO guidelines.

JobID: 210699258 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $114,000.00-$165,000.00 Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: * Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. * Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. * Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. * Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. * Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. * Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. * Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: * Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. * 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational, or digital setting. * Expertise implementing next-gen models using machine learning. * Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. * Problem-solving skills are essential. * Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. * Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.