Senior data scientist jobs in Huntersville, NC - 213 jobs

Senior Data Scientist Use your Data Science skills in the fight against chronic diseases. Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey. As a Data Scientist, you will become an integral part of our Data team, tasked with developing and enhancing our analytical capabilities to support our mission in the chronic disease space. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, providing insights that inform decisions and actions. Ideal candidates will have experience handling healthcare data, including claims, prior authorizations, and electronic health records. In this role, you will work closely with our Product, Engineering, Clinical, and Operations teams to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be crucial in establishing strong relationships with healthcare providers by developing data products that support practice transformation initiatives. After three months, you will have: - Developed a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines. - Established connections with practices and providers in the chronic disease sector, showcasing our expertise in creating data and analytics products. - Worked alongside stakeholders to grasp their business needs and translate these into technical specifications. This includes creating data models, pipelines, and analytics dashboards using tools like Looker or RStudio. For instance, you might employ dbt to construct models that assess medical claims data for identifying the utilization of value care across practices or to evaluate the distribution of medical care among our members and its influence on out-of-pocket expenses. After 6 months, you will: - Assume responsibility for and lead the development of data models that assess the impact of our interventions with practices, sharing findings both internally and externally. - Become a pivotal figure in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion. - Take charge of developing utilization and quality metrics, becoming the primary contact for stakeholder queries. You will also use our data resources to explore business opportunities and strategic initiatives.

Since its founding in 1937, Krispy Kreme's focus has remained the same - making fresh doughnuts using our founder's original recipe. The brand's iconic Hot Light lets consumers know when doughnuts are being made in the shop so they can stop in and enjoy them hot, right off the line. Krispy Kreme is looking for a Senior Data Scientist to join our Demand Planning team and help modernize our supply chain planning capabilities. We are in the process of building a new demand planning solution with the desire to connect it to future supply and logistics platforms. This job will support our Fresh Delivery and Retail shop network. The Sr. Data Scientist will serve as a hybrid data solutions architect, responsible for developing, scaling, and operationalizing the new platform's demand models within Krispy Kreme's enterprise ecosystem. This role is critical to enabling Krispy Kreme's next generation forecasting capabilities and will be supporting accurate daily predictions, improved loadout decisions, and the architecture needed for long-term adoption. The ideal candidate has strong foundations in machine learning, time-series forecasting, data engineering, and supply chain planning along with the ability to influence cross-functional stakeholders and transform raw data into high-impact business outcomes. A TASTE OF WHAT YOU WILL BE DOING: Demand Forecasting Strategy & Model Development: * Own and enhance the forecasting models developed in Lyric, including time-series, hierarchical, and ML approaches. * Retrain, tune, and monitor predictions across our Fresh Delivery and Retail business and future product categories, ensuring scalability and reliability. Data Architecture & Pipeline Ownership * Design and implement scalable data processing pipelines between Krispy Kreme systems and Lyric (Snowflake, Oracle DP Cloud, POS, etc.). * Build data validation frameworks to ensure clean, trustworthy inputs for production forecasting. * Solution & System Integration - Support initial implementation, rollout, and future enhancement of the demand planning system. * Partner with Lyric's product and engineering teams to continuously improve platform capabilities based on Krispy Kreme requirements. Cross- Functional Collaboration & Communication * Serve as a technical and analytical bridge between Krispy Kreme operations, planning teams, IT, and Lyric's data science group. * Communicate complex model behaviors and results to non-technical audiences-including supply chain leaders, planners, and operational teams. Continuous Improvement & Innovation * Identify opportunities to enhance forecast accuracy, reduce returns, and improve finishing position performance. * Introduce new ML methodologies, optimization, heuristics, or automated decision-support tools. YOUR RECIPE FOR SUCCESS: * 5+ years in Data Science, Applied ML, or solutions architecture. * Bachelor's degree in data science, Statistics, Computer Science or related field required. Master's degree in data science, Statistics, Computer science or related field preferred. * Experience working with supply chain datasets-preferably in perishable, retail, food, or high-frequency replenishment environments. * Hands-on experience building and maintaining production ML systems (time-series or causal models required). * Experience with data engineering tools (SQL, dbt, Airflow, Spark, Snowflake, etc.) * Experience collaborating with IT, operations, and planning teams on data pipelines and system integrations. * Experience and familiarity with ETL tools. * Strong data processing or data engineering exposure * Curiosity to problem solving and mindset and adaptability. * Experience in DSD/merchandising networks and short shelf-life products strongly preferred. * Exposure to optimization (linear programming, heuristics, routing, or inventory optimization). * Prior experience with ML Ops, CI/CD for model deployment, or cloud-native DS tools. * Exposure to demand and supply planning and logistics analytics * Strong technical proficiency in Python, SQL, and ML frameworks (Prophet, XGBoost, PyTorch, statsmodels, etc.). * Ability to translate complex analytics into actionable business recommendations. * Excellent communication, collaboration, and stakeholder-management skills. * Problem-solving mindset with strong business intuition. * Ability to work in fast-paced, cross-functional environments with evolving priorities. * The above statements are intended to describe the general nature of work performed by the employees assigned to this job and are not the official for the position. The official job description will be provided during the application/interview process. BENEFITS:? * Comprehensive benefits (medical, vision, and dental insurance)? * Employee discount program? * 401K plan? * Generous PTO Plan? * Company events? * Education Reimbursement? * Adoption Assistance? * Life Insurance? * FSA/HSA Plans? * Pet Insurance? Learn more at ****************** WHY KRISPY KREME? At Krispy Kreme, we focus on: * Loving People: * Our global culture is best captured by our Leadership Mix, a dozen behaviors that define how we work with one another across the world and give back to our communities.? Check out our leadership mix here. * Belonging happens once each Krispy Kremer knows their bold authentic self is welcomed, dignified, and loved, where their wonderfully original identities flourish and thrive. * Loving Communities: * At Krispy Kreme, sharing joy is at the center of everything we do, and we strive to inspire this in our communities. Our brand purpose truly shines through our Acts of Joy and community fundraising initiatives. * In the U.S., we have been donating unsold doughnuts to local food banks, with a goal of bringing a smile to our consumers as they enjoy a small, sweet treat. We partner with Feeding America and Convoy of Hope, who in turn partner with organizations nationwide to distribute donations to people in need through diverse types of programs and services. * In 2022, we helped community groups raise $40 million globally. Last year in the U.S., we supported more than 83,000 fundraising events, raising nearly $37 million. * Loving Planet: * We have been conducting a multi-year global GHG emissions assessment to establish an emissions baseline, using this foundation to soon set goals for greenhouse gas emission reductions. * We are working on reducing food waste through donation efforts, animal feed, and composting programs. Krispy Kreme is an Equal Opportunity Employer:? At Krispy Kreme, we believe that your originality sweetens our recipe. We value the diverse ingredients of the ethnicity, national origin, race, age, sex, gender, intersex, or veteran status of every individual. We strive for an inclusive culture that allows each of our peeps to bring their bold authentic self to work regardless of their religion, gender identity & expression, sexual orientation, or disability.? About Krispy Kreme Headquartered in Charlotte, N.C., Krispy Kreme is one of the most beloved and well-known sweet treat brands in the world. Our iconic Original Glazed doughnut is universally recognized for its hot-off-the-line, melt-in-your-mouth experience. Krispy Kreme operates in more than 35 countries through its unique network of fresh doughnut shops, partnerships with leading retailers, and a rapidly growing Ecommerce and delivery business with more than 14,000 fresh points of access. Our purpose of touching and enhancing lives through the joy that is Krispy Kreme guides how we operate every day and is reflected in the love we have for our people, our communities and the planet. Connect with Krispy Kreme Doughnuts at ******************** or on one of its many social media channels, including **************************** and ****************************

Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. The Opportunity We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is not available for this position. The Senior Graph Data Scientist - Identity Analytics is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance Exports insights to decision systems to enable better fraud targeting and model development efforts Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks Collaborate with the broader analytics community to share standard methodologies and techniques What you'll do: Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. What you have: Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. 6 years of experience in a predictive analytics or data analysis 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency). Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. Experience guiding and mentoring junior technical staff in business interactions and model building. Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: US military experience through military service or a military spouse/domestic partner Graduate degree in a quantitative subject area Over 4 years of experience with model development or other advanced fraud detection algorithms Over 3 years of experience with graph databases and graph solutions Experience in fraud/financial crimes model development Compensation: The salary range for this position is: $143,320- $257,970. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Don't Just Analyze-Influence: Join EVOQ as Our Data Scientist As our Data Scientist, you will be responsible for developing an integrated data ecosystem across our agencies and client portfolios. You'll aggregate, clean, and analyze data from disparate systems (e.g., Shopify, Amazon Seller Central, TikTok Shop, Meta, Google Ads, GA4, HubSpot, and CRM systems) to deliver deep, actionable insights that drive revenue growth. This role is not about generating more data. Our clients need more signal and less noise. You will identify and articulate the strategic implications and deliver recommendations that are specific, actionable, and designed to influence behavior across organizations. You will be at the intersection of data science, strategy, and storytelling. You'll play a pivotal role in helping our clients answer complex questions such as: Are TikTok Shop or Amazon sales cannibalizing our DTC website sales? What is the true blended ROAS across all channels? How do paid, owned, and earned investments correlate with lifetime value and margin by channel? Which creative and influencer strategies drive incremental lift-not just clicks? How can we accurately calculate marketing attribution across channels-and build custom attribution models that reveal true incremental value?" You'll partner with our analytics, media, and strategy teams across all EVOQ agencies to create models, dashboards, and methodologies that help clients understand, predict, and optimize performance across channels. Let us introduce ourselves: EVOQ is not a holding company. It is a strategic collective of best-in-class, independently owned marketing agencies that share a common standard of excellence, a culture of innovation, and a commitment to client success. Each agency operates independently but is united by a shared belief: that collaboration, specialization, and strategic alignment can create marketing that outperforms expectations. EVOQ offers: Access to elite, discipline-specific expertise across the marketing ecosystem A flexible model: a la carte services or fully integrated solutions Scalable resources without the red tape of traditional holding companies A culture grounded in ownership, accountability, and entrepreneurial energy The freedom to innovate, evolve, and lead--not follow What you'll do as Data Scientist: Lead our data strategy: Design and maintain a unified data infrastructure connecting systems like Amazon, Shopify, GA4, TikTok Shop, and more Build robust ETL pipelines and APIs to centralize multi-channel data Develop a scalable data lake/warehouse for cross-agency analytics Establish strategic measurement frameworks that go beyond vanity metrics Build models that matter: Create econometric and attribution models (MMM, MTA) to decode marketing performance Analyze incrementality, channel cannibalization, and blended ROAS Deliver predictive models that uncover efficiency, margin growth, and ROI Translate complex data into insights that directly influence brand and business strategies Communicate for impact: Develop intuitive dashboards (Power BI, Looker Studio, etc.) Synthesize data into clear, compelling stories for both technical and non-technical audiences Define KPIs that align with client success and agency growth Help evolve our analytics culture with storytelling at its core Be a strategic leader: Serve as the group-wide data science expert across all EVOQ agencies Mentor analysts and build data fluency across functions Lead data governance and standardization efforts Stay ahead of trends in AI, marketing analytics, and e-commerce intelligence Knowledge and skills required for the position are: Bachelor's Degree in Data Science, Statistics, Applied Mathematics, Computer Science, Economics, or a related quantitative field. 7+ years of experience in data science, marketing analytics, or quantitative marketing roles, preferably in an advertising agency, performance marketing, or e-commerce environment. Proficiency with Python, R, SQL, and modern ETL tools (e.g., Airflow, dbt, Fivetran). Experience with data warehousing solutions (e.g., BigQuery, Snowflake, Redshift). Experience with marketing intelligence and attribution platforms (e.g., Northbeam, TripleWhale, Funnel) Familiarity with API integrations and marketing data connectors Hands-on experience with visualization platforms like Power BI, Tableau, or Looker Studio. Experience developing MMM, MTA, and causal inference models. Deep understanding of marketing and commerce platforms including Google Ads, Meta Ads, Amazon, TikTok Shop, Shopify, Klaviyo, GA4, and CRM systems. Experience analyzing blended ROAS, attribution, and incrementality in omnichannel campaigns. Preferred Qualifications Previous experience working with or within a digital or performance marketing agency. Proven ability to balance hands-on analysis with leadership and cross-team collaboration. Strong understanding of data privacy, governance, and compliance standards. Excellent communication and presentation skills-able to make the complex simple and strategic. Experience in influencing brand or media strategy through insight storytelling. Ability to simplify complex systems into frameworks, models, and stories that non-technical stakeholders can understand and act on. Join EVOQ as a Data Scientist and advance your career! EVOQ offers a competitive benefits package, including top-tier insurance, flexible PTO, and a 401k match. Apply Now!

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! Job Summary: This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection is looking for an experienced model developer / data scientist to join our team and help us combat financial crime. The role is responsible for providing model governance support across the entire model life cycle. Responsibilities: Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights Applies agile practices for project management, solution development, deployment, and maintenance Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables Supports the identification of potential issues and development of controls Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate Partnering with technology and model users to schedule deployments and planning for future model installations Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage Producing analytics to ensure early model results look consistent with expectations Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis. Serve as a subject matter expert across model's live cycle Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation. Required Qualifications: 4+ years of experience in model development or validation is required Must be proficient Python, SQL (SAS is a plus) Excellent technical writing skills Critical problem-solving abilities including selection of data and deployment of solutions Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team Excellent communication and influencing skills Thrives in fast-paced and highly dynamic environment Able to provide guidance to junior data scientists. Intellectual curiosity and strong urge to figure out the “whys” of a problem and come up with creative solution Desired Qualifications: Bachelor's Degree in related field or equivalent work experience Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas. Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques Experience with compliance of SR-11-7 Experience influencing mid to senior (executive) level leaders Experience managing risk and issue remediation Skills: Agile Practices Application Development DevOps Practices Technical Documentation Written Communications Artificial Intelligence/Machine Learning Business Analytics Data Visualization Presentation Skills Risk Management Adaptability Collaboration Consulting Networking Policies, Procedures, and Guidelines Management Shift: 1st shift (United States of America) Hours Per Week: 40 Pay Transparency details US - IL - Chicago - 110 N Wacker Dr - Bank Of America Tower Chicago (IL4110), US - MA - Boston - 100 Federal St - 100 Federal St Lp (MA5100) Pay and benefits information Pay range$165,000.00 - $246,200.00 annualized salary, offers to be determined based on experience, education and skill set.Discretionary incentive eligible This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.BenefitsThis role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

Job Description We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Summary/objective We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks. Why Join Us? Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges. Directly influence customer retention and revenue growth through applied data science. Work in a collaborative environment where experimentation and innovation are encouraged. Core Job Duties: Model Development * Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities. * Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance. * Incorporate feature engineering pipelines that leverage customer behavior, transaction history, and product usage data. Data Engineering & Pipeline Ownership * Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring. * Collaborate with data engineers to ensure proper data ingestion, transformation, and governance. Experimentation & Validation * Conduct A/B tests and back testing to validate model effectiveness. * Apply techniques for model monitoring, drift detection, and retraining in production. Business Impact & Storytelling * Translate complex analytical outputs into clear recommendations for business stakeholders. * Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs. Minimum Qualifications: * Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience). * 3+ years of experience building predictive models in a production environment. * Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL. * Demonstrated expertise using Databricks for: * Data manipulation and distributed processing with PySpark. * Building and managing models with MLflow. * Leveraging Delta Lake for efficient data storage and retrieval. * Implementing scalable ML pipelines within Databricks' ML Runtime. * Experience with feature engineering for behavioral and transactional datasets. * Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems. * Ability to communicate results and influence decision-making across technical and non-technical teams. Preferred Qualifications: * Experience with cloud platforms (Azure Databricks, AWS, or GCP). * Familiarity with Unity Catalog for data governance and security. * Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks. * Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring). * Background in SaaS, subscription-based businesses, or customer analytics. Physical Demands Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds. Travel Required: Limited Work Authorization: Employees must be legally authorized to work in the United States. FLSA Classification: Exempt Location: Any Effective Date: 9/16/2025 About isolved isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes to grow their companies and careers. Learn more at ******************* isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit ************************** for more information regarding our incredible culture and focus on our employee experience. Visit ************************* for a comprehensive list of our employee total rewards offerings.

Insight Global is seeking a Data Engineer for one of our large retail food service clients. This position will be within the BI & Analytics group supporting unattended retail solutions for clients and consumers across the US. This individual will be responsible for the following: - Develop the comprehensive knowledge required to support existing Production models and forecast solutions - Implement automated processes for efficiently generating and monitoring production forecasting models - Design and creates algorithms, machine-learning models, re-trains and tunes the model for efficiency and scalability in a cloud environment - Develop ad hoc and statistical analysis to determine trends and significant relationships - Develop and validates predictive and prescriptive models to identify opportunity for business improvement - Identifies unique opportunities and strategizes new uses for data; active engagement with the business customer to identify measurable criteria - Present and communicates complex analyses and content appropriate for the audience - Collaborate and develops a working relationship with IT, Data Engineers and Analytics teams to understand and share best practices and inter-dependencies between teams, data sources, technologies, and platforms - Accountable for ensuring high quality solutions are delivered within project timelines We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Graduate studies or BS Degree in Data Science, Computer Science, Mathematics, Statistics, or related field. - 2+ years of experience in large complex data analysis and predictive modeling in a corporate setting - Experience with designing and building processes with large, complex data sets from multiple data sources - 2+ years of advanced proficiency in writing complex MS SQL, including aggregate analysis over large complex datasets, multiple joins and query optimization - Proficient coding abilities in the major programming languages including R and Python - Experience with "end to end" Machine Learning model development - Skilled in best practices for data handling and imputation - Familiar with a variety of ML modeling techniques including limitations and appropriate application of models such as forecasting, logistic regression, random forest, and gradient boost. - Proficiency with MS Excel and pivot tables/charts. - Experience visualizing business insights with MS Power BI or other data visualization tools preferred. - Demonstrates excellent verbal and written communication skills as well as the ability to present complex topics effectively and in a simplified and appropriate manner - Inquisitive, energetic initiative-taker, able to work independently or collaboratively in a fast-paced team environment. - Experience with Snowflake and Snowpark preferred. - Experience working with Azure DevOps; Sprint Agile projects preferred. - Experience with analysis within the retail industry is a plus.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Must Have Technical/Functional Skills Strong Python and Machine Learning skillset An experienced Data Scientist to lead end-to-end AI/ML solution design and implementation across a range of business domains in financial services. You will be responsible for architecting robust, scalable, and secure data science solutions that drive innovation and competitive advantage in the BFSI sector. This includes selecting appropriate technologies, defining solution blueprints, ensuring production readiness, and mentoring cross-functional teams. You will work closely with stakeholders to identify high-value use cases and ensure seamless integration of models into business applications. Your deep expertise in machine learning, cloud-native architectures, MLOps practices, and financial domain knowledge will be essential to influence strategy and deliver transformative business impact. * Proficient in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace. * Strong BFSI domain knowledge. * Experience with NLP, LLMs (GPT), and deep learning. * Hands-on with MLOps pipelines and tools. * Experience with graph analytics tools (Neo4j, TigerGraph, NetworkX). Roles & Responsibilities * Architect and drive the design, development, and deployment of scalable ML/AI solutions. * Lead data science teams through complete project lifecycles - from ideation to production. * Define standards, best practices, and governance for AI/ML solutioning and model management. * Collaborate with data engineering, MLOps, product, and business teams. * Oversee integration of data science models into production systems. * Evaluate and recommend ML tools, frameworks, and cloud-native solutions. * Guide feature engineering, data strategy, and feature store design. * Promote innovation with generative AI, reinforcement learning, and graph-based learning. * Knowledge of Spark, PySpark, Scala. * Experience leading CoEs or data science accelerators. * Open-source contributions or published research. TCS Employee Benefits Summary: * Discretionary Annual Incentive. * Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. * Family Support: Maternal & Parental Leaves. * Insurance Options: Auto & Home Insurance, Identity Theft Protection. * Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. * Time Off: Vacation, Time Off, Sick Leave & Holidays. * Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range : $100,000-$130,000 a year

Our client, a top-tier Management Consulting firm, is seeking a highly skilled Applied AI Data Scientist for a top tier US Bank. Responsibilities and Requirements: Perform statistical analysis, clustering, and probability modeling to drive insights and inform AI-driven solutions Analyze graph-structured data to detect anomalies, extract probabilistic patterns, and support graph-based intelligence Build NLP pipelines with a focus on NER, entity resolution, ontology extraction, and scoring Contribute to AI/ML engineering efforts by developing, testing, and deploying data-driven models and services Apply ML Ops fundamentals, including experiment tracking, metric monitoring, and reproducibility practices Collaborate with cross-functional teams to translate analytical findings into production-grade capabilities Prototype quickly, iterate efficiently, and help evolve data science best practices across the team Solid experience in statistical modeling, clustering techniques, and probability-based analysis Hands-on expertise in graph data analysis, including anomaly detection and distribution pattern extraction Strong NLP skills with practical experience in NER, entity/ontology extraction, and related evaluation methods An engineering-forward mindset with the ability to build, deploy, and optimize real-world solutions (not purely theoretical) Working knowledge of ML Ops basics, including experiment tracking and key model metrics Proficiency in Python and common data science/AI libraries Strong communication skills and the ability to work collaboratively in fast-paced, applied AI environments

US Conec, Ltd. Engineering Innovation. Precision Plastics. Powering AI. US Conec, Ltd. is a trusted, global company that prides itself on engineering excellence-creating innovative connectivity solutions that support today's most important technologies. We foster a friendly, inclusive culture that values teamwork, creativity, and mutual respect. At US Conec, you'll find real opportunities to grow and make a meaningful impact in a company that genuinely cares about its people and its customers. With competitive compensation, excellent benefits, and a supportive environment, this is a place where you can build your future-whether your interests lie in manufacturing, engineering, operations, or beyond. Data Scientist - Metrology Overview We're excited to offer a unique opportunity for a Data Scientist - Metrology to join our team in Hickory, NC. In this role, you'll apply advanced analytics, statistics, and machine learning techniques to solve metrology challenges in high-precision manufacturing. You'll collaborate with engineering teams to improve product validation, process control, and measurement systems-bridging the gap between data science and fiber-optic innovation. Responsibilities Analyze metrology datasets to identify trends, improve accuracy, and optimize manufacturing efficiency Develop and maintain statistical models, monitoring systems, and predictive algorithms Design experiments and interpret results using tools like Excel, Minitab, MATLAB, Python, or R Collaborate with engineers to troubleshoot quality issues and propose data-driven corrective actions Support the creation of fixtures, automation routines, and measurement programs for ferrule and mold validation Document test plans, results, and analyses; contribute to technical reports and patent filings Manage databases and reporting systems to ensure accessible, reliable measurement data Stay current with emerging metrology tools, image processing techniques, and advanced analysis methods Must Haves Bachelor's degree in data science, Metrology, Engineering, Applied Mathematics, or a related field Minimum 2 years of experience in data analysis, metrology, or manufacturing analytics Strong foundation in statistics, data modeling, and experimental design Solid understanding of mechanical design principles Proficiency with at least one data-analysis tool or language (e.g., MATLAB, Python, R, Minitab, Excel) Excellent communication and problem-solving skills Nice to Haves Experience with optical metrology, image processing, or CAD tools Familiarity with automation, robotics, or automated test systems Exposure to machine learning or AI-driven analysis methods What We Offer A competitive base salary with performance-based bonus potential 4 weeks of PTO to relax and recharge Health, dental, and vision plans to support you and your family 401(k) retirement savings plan with employer match and planning resources A collaborative, innovation-driven culture Paid holidays and employee recognition programs Opportunities to work on cutting-edge technologies in fiber-optic manufacturing STEM outreach and community engagement initiatives Join US Conec today and be part of a team that values each other, promotes innovation and growth, and strives to exceed customer expectations in everything we do. U S Conec is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, protected veteran status, or any other legally protected characteristics

**Why USAA?** At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. **The Opportunity** We offer a flexible work environment that requires an individual to be **in the office 4 days per week.** This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is **not** available for this position. The **Senior Graph Data Scientist - Identity Analytics** is responsible for development and implementation of quantitative solutions that improve USAA's ability to detect and prevent identity theft, account takeover, and first party/synthetic fraud. These solutions will range from the development of machine learning models to broad implementation of solutions such as graph analytics to protect USAA and our Members from risks emanating from these threats. Strong candidates will be able to deploy the following work products and processes: + Develop and continuously update internal identity theft and authentication models to mitigate fraud losses and negative member experience from fraud application, synthetic fraud and account takeover attempts + Closely partner with Strategies team, Director of Fraud Identity Analytics and Director of Fraud Model Management and Model Users on model builds and priorities + Partner with Technology and other key collaborators to deploy a Financial Crimes graph database strategy, including vendor selection, business requirements, data needs, and clear use cases spanning financial crimes + Deploy graph databases and graph techniques to identify criminal networks engaging in fraud, scams, disputes/claims and AML and deliver highly significant benefits + Generate and prioritize fraud-dense rings to mitigate losses and improve Member experience + Identify and work with technology to integrate new data sources for models and graphs to augment predictive power and improve business performance + Exports insights to decision systems to enable better fraud targeting and model development efforts + Drives continuous innovation in modeling efforts including advanced techniques like graph neural networks + Collaborate with the broader analytics community to share standard methodologies and techniques **What you'll do:** + Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. + Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. + Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. + Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. + Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. + Assesses business needs to propose/recommend analytical and modeling projects to add business value. Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. + Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. + Translates sophisticated business request(s) into specific analytical questions, completes the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. + Manages project breakthroughs, risks, and impediments. Intensifies potential issues that could limit project success or implementation. + Develops standard methodologies for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. + Maintains expertise and awareness of innovative techniques. Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. + Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. + Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. + Ensures risks associated with business activities are optimally identified, measured, supervised, and controlled in accordance with risk and compliance policies and procedures. **What you have:** + Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative field; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. + 6 years of experience in a predictive analytics or data analysis + 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. + 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. + Proven experience writing code that is easy to follow, well documented, and commented where vital to explain logic (high code transparency). + Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, NoSQL, etc. + Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. + Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. + Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. + Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, and ensemble methods such as Random Forests, XGBoost, LightGBM, and CatBoost. + Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. + Experience guiding and mentoring junior technical staff in business interactions and model building. + Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. **What sets you apart:** + US military experience through military service or a military spouse/domestic partner + Graduate degree in a quantitative subject area + Over 4 years of experience with model development or other advanced fraud detection algorithms + Over 3 years of experience with graph databases and graph solutions + Experience in fraud/financial crimes model development **Compensation:** The salary range for this position is: **$143,320- $257,970.** **USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).** **Compensation:** USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. **Benefits:** At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com. _Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting._ _USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran._ **If you are an existing USAA employee, please use the internal career site in OneSource to apply.** **Please do not type your first and last name in all caps.** **_Find your purpose. Join our mission._** USAA is unlike any other financial services organization. The mission of the association is to facilitate the financial security of its members, associates and their families through provision of a full range of highly competitive financial products and services; in so doing, USAA seeks to be the provider of choice for the military community. We do this by upholding the highest standards and ensuring that our corporate business activities and individual employee conduct reflect good judgment and common sense, and are consistent with our core values of service, loyalty, honesty and integrity. USAA attributes its long-standing success to its most valuable resource: our 35,000 employees. They are the heart and soul of our member-service culture. When you join us, you'll become part of a thriving community committed to going above for those who have gone beyond: the men and women of the U.S. military, their associates and their families. In order to play a role on our team, you don't have to be connected to the military yourself - you just need to share our passion for serving our more than 13 million members. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law. California applicants, please review our HR CCPA - Notice at Collection (********************************************************************************************************** here. USAA is an EEO/AA Employer - applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, sexual orientation, gender identity or expression, pregnancy, protected veteran status or other status protected by law.

Use your Data Science skills in the fight against chronic diseases. Our client operates a pioneering disease management platform, focusing on delivering value-based care tailored to individuals with chronic conditions. By seamlessly integrating human expertise with cutting-edge software and analytics, the platform actively engages patients soon after diagnosis, ensuring they receive the most appropriate care swiftly. It offers continuous support by employing targeted, evidence-based interventions, significantly enhancing patient outcomes and making a meaningful difference in their health journey. As a Data Scientist, you will become an integral part of our Data team, tasked with enhancing our analytical capabilities to support our overarching mission. Your role will involve modeling data and crafting visualizations to communicate with stakeholders, delivering insights that prompt actionable measures. A background in working with healthcare data, including claims, prior authorizations, and electronic health records, is crucial for success in this role. You will work closely with teams across Product, Engineering, Clinical, and Operations to pinpoint opportunities for improving outcomes and monitoring the effectiveness of our interventions for our members and clients. Your contributions will be pivotal in establishing strong relationships with providers by developing data products that support practice transformation efforts. Within three months, you will: - Acquire a comprehensive understanding of our data platform, contributing to the enhancement of our data models and pipelines. - Forge relationships with oncology practices and providers, showcasing our expertise in developing data and analytics products. - Collaborate with stakeholders to grasp their business needs and translate these into technical specifications, involving the creation of data models, pipelines, and analytics dashboards using tools such as Looker or RStudio. This may include utilizing dbt to construct models for analyzing medical claims data to identify value care utilization across oncology practices or examining the dispersion of medical care among our members and its impact on out-of-pocket expenses. After six months, you will: - Assume responsibility for and lead the development of data models to assess the impact of our interventions with oncology practices, reporting outcomes both internally and externally. - Play a crucial role in enhancing our data infrastructure and devising a roadmap for a scalable and modular data architecture to accommodate our team's expansion. - Lead in the development of utilization and quality metrics, becoming the primary contact for stakeholder inquiries. You will also utilize our data assets for identifying business opportunities and strategic initiatives. Keys to success include: - Prioritizing our members. The mission of our organization, especially the experience of our members, is of utmost importance to you. - Being action-oriented. You have a knack for identifying and prioritizing the needs of your initiatives, ensuring that urgent and important tasks are addressed promptly. - Valuing diverse perspectives. You are humble, constantly seeking feedback, and are keen on learning and sharing knowledge. - Relevant experience. You have experience handling large healthcare datasets, preferably within a health plan or a healthcare-focused technology startup with advanced data structures and pipelines. Expertise in medical claims, pharmacy claims, eligibility files, and other pertinent healthcare data is vital for creating data marts for reporting and analysis. - Technical proficiency. Your skills in analytics, data modeling, and data transformation are essential. While familiarity with DBT is preferred, we welcome candidates who are eager to learn it swiftly. Experience with Python or R and tools like Looker for data analysis and visualization is advantageous. - Effective communication. You are adept at expressing your ideas clearly to both technical and non-technical team members and stakeholders. - Comfort with ambiguity. You have a proven track record of navigating through challenges and finding solutions in uncertain situations, particularly in fast-paced environments and ambitious startups.

We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions. Requirements Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling. Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying. Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn). Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow). Strong analytical skills and the ability to work with large datasets to extract meaningful information. Experience in data preprocessing, feature engineering, and model evaluation. Excellent problem-solving abilities and strong communication skills to present findings effectively. A degree in Computer Science, Mathematics, Statistics, or a related field is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at ***************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Must Have Technical/Functional Skills Technical Skills * Machine Learning (ML) techniques and algorithms * Hypothesis Testing and Statistical Analysis * Regression Analysis and Predictive Modeling * Natural Language Processing (NLP) * Programming in Python and/or R * SQL for data manipulation and querying * Experience with PyTorch and TensorFlow Functional Skills * Strong foundation in Mathematics and Statistics * Familiarity with Machine Learning product system design * Understanding of Large Language Models (LLMs) * Proficiency in model documentation and model governance Roles & Responsibilities * Work with business SMEs to understand data requirements and translate them into predictive models and analytical tools. * Apply NLP and applied mathematics techniques to develop text classification tools for automating manual document review processes. * Present insights using data visualization techniques and communicate findings effectively. * Assess the accuracy and effectiveness of new data sources and data gathering techniques. * Develop processes and tools to monitor and analyze model performance. Salary Range- $95,000-$130,000 a year

Charlotte, North Carolina;Plano, Texas; Richmond, Virginia; Boston, Massachusetts; Chandler, Arizona; Tampa, Florida; Chicago, Illinois; Jacksonville, Florida; Newark, Delaware; Phoenix, Arizona **To proceed with your application, you must be at least 18 years of age.** Acknowledge Refer a friend **To proceed with your application, you must be at least 18 years of age.** Acknowledge (************************************************************************************************************************* **Job Description:** At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us! **Job Summary:** This job is responsible for reviewing and interpretating large datasets to uncover revenue generation opportunities and ensuring the development of effective risk management strategies. Key responsibilities include working with lines of business to comprehend problems, utilizing sophisticated analytics and deploying advanced techniques to devise solutions, and presenting recommendations based on findings. Job expectations include demonstrating leadership, resilience, accountability, a disciplined approach, and a commitment to fostering responsible growth for the enterprise. Client Protection is looking for an experienced model developer / data scientist to join our team and help us combat financial crime. The role is responsible for providing **model governance** support across the entire model life cycle. **Responsibilities:** + Enables business analytics, including data analysis, trend identification, and pattern recognition, using advanced techniques to drive decision making and collection data driven insights + Applies agile practices for project management, solution development, deployment, and maintenance + Develops and reviews technical documentation, capturing the business requirements, and specifications related to the developed analytical solution and implementation in production + Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment + Delivers presentations in an engaging and effective manner through in-person and virtual conversations that communicates technical concepts and analysis results to a diverse set of internal stakeholders, and develops professional relationships to foster collaboration on work deliverables + Supports the identification of potential issues and development of controls + Maintains knowledge of the latest advances in the fields of data science and artificial intelligence to support business analytics + Developing advanced technical documentation for an array of internally- and vendor-developed models ranging from regression to sophisticated techniques including XGB, neural networks, graph + Working closely with developers to understand how the model works and provide effective challenge to not only push back on methodology but also ensure results are accurate + Partnering with technology and model users to schedule deployments and planning for future model installations + Working with independent model risk management, legal and compliance teams to ensure models are fully validated and approved for usage + Producing analytics to ensure early model results look consistent with expectations + Conducting regular model monitoring and sharing performance results and analytical insights with model stakeholders and users + Supporting Bank policy for Artificial Intelligence models and ensuring any risks of using advanced techniques are identified and mitigated + Tracking model changes after deployment and ensure appropriate documentation reflects any adjustments, patches or updates + Driving model performance analytics above and beyond Model Risk Management policy requirements, including granular performance monitoring, early trend detection, root cause analysis, and gap analysis. + Serve as a subject matter expert across model's live cycle + Mentor junior data scientists and analysts, fostering a culture of continuous learning and innovation. **Required Qualifications:** + 4+ years of experience in model development or validation is required + Must be proficient Python, SQL (SAS is a plus) + Excellent technical writing skills + Critical problem-solving abilities including selection of data and deployment of solutions + Proven ability to manage projects, exercise thought leadership and work with limited direction on complex problems to achieve project goals while also working as part of a broader team + Excellent communication and influencing skills + Thrives in fast-paced and highly dynamic environment + Able to provide guidance to junior data scientists. + Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solution **Desired Qualifications:** + Bachelor's Degree in related field or equivalent work experience + Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) + 7+ years of experience working as model developer, data scientist, model validator, preferable on fraud, credit, market, or other heavily quantitative areas. + Advanced understanding of machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques + Experience with compliance of SR-11-7 + Experience influencing mid to senior (executive) level leaders + Experience managing risk and issue remediation **Skills:** + Agile Practices + Application Development + DevOps Practices + Technical Documentation + Written Communications + Artificial Intelligence/Machine Learning + Business Analytics + Data Visualization + Presentation Skills + Risk Management + Adaptability + Collaboration + Consulting + Networking + Policies, Procedures, and Guidelines Management **Shift:** 1st shift (United States of America) **Hours Per Week:** 40 Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates. View your **"Know your Rights (************************************************************************************** "** poster. **View the LA County Fair Chance Ordinance (************************************************************************************************** .** Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work. This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

Must Have Technical/Functional Skills Primary Skill: Sr. Developer with strong knowledge in AI/ML, NLP, Deep Learning, LLM's, Gen AI Models, Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems. Experience: Minimum 8 years Roles & Responsibilities * Bachelor's or master's degree in computer science or related field. * The candidate must have strong technical background with 8+ years of IT experience. Sr. Developer with * strong knowledge in AI/ML, NLP, Deep Learning, LLM's, Gen AI Models, Python scripting language and Libraries, this role is responsible for building or optimizing Data science solutions and help the business to address complex problems. * Strong experience in Machine Learning, NLP, Deep Learning, Statistical Modeling, understanding of machine learning techniques and algorithms. * Strong hands-on in Implementing LLM Models, GEN-AI Models, OpenAI API's. Strong hands-on design and development experience in Python. * Experience with data visualization tools. * Worked on the Data analysis libraries like pandas · Experience in web API calls. * Automations experience. * Strong problem solving, analytical and interpersonal skills · Ability to work effectively in a team environment. * Strong written and oral communication skills. Should have the ability to clearly express ideas. * Experience working with Agile Methodology. TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Salary Range: $100,000 - $120,000 a year

At Bank of America, 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. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Background: The DSTRO (Data Science for Technology, Risk and Operations) team is looking for a Senior Data Scientist that has a combination of skills to provide quantitative analysis and high-quality data products in the financial services domain. The right candidate will be part of a team that works closely with BofA Institute, Economic Research, Equity Research, and Global Risk Management teams to produce high frequency economic indicators, including consumer retail spending, wage growth, consumer credit, etc.. Additionally the candidate will also help produce stories of interest to investors, economists, and consumer risk analysts, leveraging our bank's proprietary customer transaction data through debit card, credit card, ACH, and other channels. Key Responsibilities: Work with Global Research partners and Control Function partners to develop analytic stories about consumer economic behavior Ensure high level of quality in data products through careful attention to detail Communicate findings, gaps, and opportunities to all levels of the organization Take projects from ideation to data analysis to visualization and presentation Qualifications: Degree in statistics, finance, economics, or equivalent quantitative experience 5+ years of data driven analytical experience Proficient in pulling data from big relationship database, like Teradata, and flat files Strong SAS/Python/SQL programming skills Strong attention to detail and curiosity about data anomalies Ability to collaborate within and between cross-functional teams Excellent communication skills Highly organized and experienced in leading/managing projects, initiatives, and development Ability to manage multiple and competing priorities Shift: 1st shift (United States of America) Hours Per Week: 40