Senior data scientist jobs in Huntersville, NC - 363 jobs

Sr. Data Scientist needs 2 or more years experience with developing Robotic Process Automation and/or automation efforts Sr. Data Scientist requires: 3+ years with relational databases (ex. Oracle, SQL Server, etc.) 3+ years working with languages Python and SQL 3+ years applying statistics in data analyses (ex. regression modeling, econometrics, classification labeling, recommendation, parametric/non-parametric modeling, etc) 2 or more years experience presenting and delivering results to business partners and leadership 2 or more years experience in Cyber Security domain knowledge. 1 or more years experience with Splunk or similar technology Preferred 2 or more years experience with developing Robotic Process Automation and/or automation efforts 2 or more years using AWS cloud services 2 or more years skilled at data visualization (Tableau, PowerBI, etc.) 2 or more years with modern data engineering with APIs M.S. or PhD in a Science, Technology, Engineering, Mathematics (STEM) or Economics related field of study. 2 or more years applying agile SDLC Sr. Data Scientist duties: Structure business problems and drive viable, data-driven hypotheses in collaboration with business partners Ability to skillfully enumerate a business problem, quantify its impact, size relevant data, and document applicable sources Devise, develop and disseminate actionable intelligence from disparate data sources using advanced data analytics tools and techniques Ability to identify needs and opportunities for advancements in innovations, processes and automation Able to work proactively and take initiative without being specifically directed Ability to extract & aggregate data from disparate data sources

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.

WHO WE ARE TIFIN builds AI-powered financial technology that personalizes and improves financial advice across consumers, advisors, workplaces, and institutions. Our modular platform embeds finance-tuned AI to deliver dynamic, tailored guidance at scale-without added complexity. Combining proprietary models, specialized data, and a fast-paced engineering culture, we create secure, compliant tools that power real outcomes. Other differentiators include: Speed: Our ability to stand up businesses at 2-4x the speed of typical fintech companies (building MVPs in 3 months and production-ready products in 6-12 months) Track Record: Previous exits include 55ip (acquired by J.P. Morgan) and Paralel Strategic Partners: Partners include J.P. Morgan, Franklin Templeton, Morningstar, Broadridge, Hamilton Lane, Motive Partners and SEI. World-Class Team: Complimentary financial services & technical expertise from Google, Microsoft, Uber, PayPal, eBay, Techstars, BlackRock, LPL, Franklin Templeton, Morgan Stanley, Broadridge and more. OUR VALUES: Go with your GUT Grow at the Edge. We are driven by personal growth fueled by a beginner's mindset. We get out of our comfort zone and keep egos aside. With self-awareness and integrity we strive to be the best we can possibly be. No excuses. Understanding through Listening and Speaking the Truth. We communicate with authenticity, precision and integrity to create a shared understanding. We identify opportunities within constraints and propose solutions in service to the team. I Win for Teamwin. We believe in staying within our genius zones to succeed and taking accountability for driving results. We are all individual contributors first and always thinking about what can be better. ROLE OVERVIEW As a Data Scientist you will own and lead projects across one or more of our supervised machine learning product lines. We are looking for individuals who have worked end-to-end and have experience building products where machine learning models are a core component. This is an individual contributor role working closely with data science, engineering, client success and business leadership, reporting into the CEO. PROJECTS Supervised ML Models: Build, train, and validate supervised machine learning models to predict engagement, churn and conversion and deliver lead scoring, segmentation, and recommendations. ML & Product Integration: Work with engineering teams to integrate models into the platform. Human-in-the-Loop Collaboration: AI-powered co-pilot for advisors and other user personas, streamlining workflows such as prospecting, conversion, and client servicing. Product Development: Collaborate with Clients, Customer Success and Leadership to scope and develop new models and product features. WHAT YOU'LL DO Design and implement ML solutions to deliver measurable ROI within our clients' fund distribution channels Develop across the data science pipeline, from feature store ETL to batch transform jobs with trained ML models, leveraging AWS (Sagemaker, Redshift, S3) and/or Snowflake Model complex fund distribution problems and discover insights through the use of machine learning and statistics techniques (A/B testing, RCTs) Create meaningful data visualizations to communicate results and highlight business impact Manage product development deadlines, overcome roadblocks, and manage internal and external expectations WHAT YOU'LL BRING 4+ years of experience in applied data science working in Python, SQL, DBT Experience shipping ML products, including feature engineering, training, and tuning machine learning models. Resilience and adaptability - experience working at early-stage startups is a plus COMPENSATION AND BENEFITS The expected starting salary range for this position in Colorado is $140,000 - $180,000. In addition to cash compensation, a meaningful equity stake is a significant part of the overall package. Package also includes benefits program eligibility: Comprehensive health, dental and vision coverage, retirement benefits and flexible PTO. TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. The Hartford seeks a Data Scientist within Data Science & Analytics Customer Operations department to develop machine learning and artificial intelligence solutions across a range of strategic initiatives. The Customer Operations Data Science Team is a recently created data science and analytics team which engineers end-to-end analytic and machine learning solutions to optimize operational efficiency & customer experience, and utilizes all touchpoints generated by our customers on their omnichannel journey through The Hartford's vast engagement ecosystem. As a Data Scientist, you will participate in the entire model lifecycle partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery. Responsibilities: * Create statistical models, algorithms, and machine learning techniques to achieve financial objectives and solve business problems * Participate in reviewing work with business partners and team members on an ongoing basis to calibrate deliverables against expectations * Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage * Participate in the creation and deployment of long-term tools to continually evolve the business * Contribute to the successful implementation of strategies to achieve targeted business objectives * Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise * Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function * Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Qualifications: * 2+ years of relevant experience recommended * Preference for Master's or Ph.D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science, Computer Science, or a similar analytical field, or progress towards a relevant professional designation * Experience in statistical modeling, inference, and building machine learning algorithms in Python * Experience in SQL and navigating databases to extract relevant attributes * Experience in Unix and Git * Experience in the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation * Exposure to building modeling solutions in cloud-native environments, such as Sagemaker or Vertex AI, a plus * Understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation is a plus Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $90,160 - $135,240 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

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.

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.

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.

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing * Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. * Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. * Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. * Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. * Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. * Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences * 8+ years of experience in Data Science, Applied Science, or a related quantitative field. * Deep Domain Expertise: Proven track record of delivering measurable business impact in the lending space. * Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. * Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). * Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 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

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

Title: Sr. Data Modeler (ERWIN or Sybase power designer) Type: Full-Time Required Skills/Experience: Minimum 10 years of experience in design and deployment of logical and physical structures preferably Banking Risk Area (Counterparty Credit Risk Data Domain knowledge) Minimum 5 years of Experience with Erwin data modeling tools Minimum 5 years of Experience with development and deployments MSSQL platform Experience with large, high volume databases is preferred. Experience performing data profiling Experience in Data Mart, Dimensional Modeling, Data Warehouse modeling Ability to work successfully with technical and non-technical groups, and manage multiple tasks at a time Strong analytical, problem-solving and communication skills In-depth understanding of both Relational and Domain Modeling techniques Understanding about BI Reporting Responsibilities : Translate business and data requirements into Logical data models in support of Enterprise Data Models, OLTP, Operational Data Structures and Analytical systems. Understand database performance factors and trends pertaining to very large database design and collaborate with DBAs to implement mitigating physical modeling solutions. Perform source data analysis, data discovery and data profiling. Provide data structures optimized for information entry and retrieval. Effectively communicate data design to other members of the team to ensure proper implementation and utilization of the data structures. Support development team during design process design and during performance tuning. Participate in both business & IT planning and in the development & management of project plans. Lead design of Logical and Physical Models Support ongoing data modeling efforts for Development and Production environments Contribute to development of processes and guidelines for Data Modeling Additional Information Thanks Vick Walters Sarian Solutions an IT solutions company Ph: ************ Ext: 209 | Fax: ************

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. Mandatory Technical Skills Have strong experience in databases like Teradata, Netezza or Oracle Good Experience in Unix Environment Good experience in Industry standard data modeling tools like Erwin. Experience in Performance tuning in DW environment. Experience on data modeling using Dimensional as well as ER-Model Have working Knowledge of Industry Standard Reporting/ETL tools. Preferred/Good to have Worked in both OLTP and DW implementation Have good understanding of the new technologies i.e. No SQL, Open source Technologies, Columnar databases. Ability to work in team in diverse/ multiple stakeholder environment. Analytical skills. Experience and desire to work in a Global delivery environment. Job description Person needs to Interacting with Project stake holders to understand functional as well as technical requirements and documenting, publishing to Team. Experience in developing, validating, publishing, maintaining LOGICAL data models with exposure to or experience in developing, validating, publishing, maintaining PHYSICAL data models Evaluate existing data models and physical databases for variances and discrepancies Experience with managing meta data for data models To develop, publish, maintain all documentation for data models Work with Business Analysts, Data Architects, Software developers, DBAs to achieve project objectives - delivery dates, cost objectives, quality objectives, business customer satisfaction objectives, etc. Take part Data Quality, Data governance processes Leverage and enforce standards for data naming conventions to ensure consistency and reuse of data models Validate business use cases for accuracy and completeness of proposed data models. Ability to communicate strategies and processes around data modeling and architecture to cross functional groups and senior level. Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience in IT industry. At least 4 years of experience with DW/BI and related tools At least 2 years of experience with Data Modeling related tools Understanding of Data Modeling architectural principles Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Full time job opportunity for you. Only US Citizen, Green Card, EAD-GC, H4-EAD, L2-EAD, TN Visa can apply. Please do mention your current US Visa Status in your resume to submit your resume soon.

Join our Global Payments & Liquidity (GPL) team as a Vice President-level Lead Data Scientist, where you'll shape the future of data-driven decision-making in one of the most dynamic areas of financial services. This is a high-impact leadership role for an innovative thinker who thrives on solving complex problems and delivering scalable solutions that transform customer experiences and accelerate business growth. What You'll Do * Drive Strategy Through Data: Partner with senior business leaders to translate strategic priorities into actionable data science initiatives that influence product innovation and customer engagement. * Lead Advanced Modeling: Design and implement sophisticated machine learning and deep learning models, leveraging cutting-edge statistical techniques to uncover insights and predict outcomes. * Architect Scalable Solutions: Collaborate with data engineering teams to ensure robust, secure, and production-ready deployment of analytics solutions across cloud platforms. * Champion Data Excellence: Establish and enforce best practices for data quality, governance, and reproducibility, ensuring models meet the highest standards of accuracy and transparency. * Communicate Impact: Present complex findings in a clear, compelling way to both technical and non-technical stakeholders, driving informed decisions at the executive level. Required Qualifications: * 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education * 5+ years experience in Python and SQL * 1+ years experience in leadership or mentorship of more junior team members * Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science Preferred Qualifications * Expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with NLP or predictive modeling. * Prior experience supporting Agile product teams in a corporate environment. * Familiarity with banking products, transaction services, and working capital solutions. * Knowledge of cloud platforms (AWS, Azure) and data visualization tools (Power BI, Tableau). Why Join Us? * Influence strategic decisions at the intersection of data science and global payments. * Work on high-visibility projects that shape the future of financial technology. * Competitive compensation and relocation support for candidates outside Charlotte, NC. Posting End Date: 30 Jan 2026 * Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo 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, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo. Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Requisition Details: A Data Modeler with a primary focus of this position to provide architectural guidance and technological recommendations that support the Data Modeling activities in support of DW/BI solutions in Claims area. Requirements: Candidate must be experienced working in creation and implementation of Data Models and Abinitio. Other ideal qualifications include experiences in: • Data Management • SQL (Teradata / SQL Server / Oracle) • Data Modeling tool like ERWIN • Dimensional modeling (3NF) • Completes, tunes, refines, and successfully partners with DA for the physical data model build in the database environment for access and data consumption. • Contributes and abides by Data Management and Information Architecture Standards, Guidelines and Policies. • Should have Insurance domain experience Responsibilities: • Accountable for translating information function requirements and patterns into Logical Data Models • Accountable to adhering to prevailing corporate audit, data management, information architecture, and modeling standards • Responsible for translating logical model into a physical design that supports application access and performance requirements • Responsible for data modeling and model management principles, guidelines, and best practices • Responsible for ensuring insight provided into the End to End Data Strategy Skills: • 6-8 years of work experience in DWBI with atleast 3-4 years in Data Modeling • Good experience with Data Modeling tools (ERWIN) • Good hands-on for multiple databases like Teradata & Oracle • Good analytical and logical skills in writing SQLs, Stored Procedures and creating Marts/Views • Strong experience in Dimensional Modeling • Awareness of Data Management and Information Architecture Standards, Guidelines and Policies • 4-year degree in a related field (or equivalent experience) • Experience working within a highly-matrixed organization • Strong communication and presentation skills EOE/Minority/Female/Veteran/Disabled Additional Information All your information will be kept confidential according to EEO guidelines.

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Our associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more. Primary Purpose The Data Engineer IV will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. They will drive our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They engage through the entire lifecycle of a project from data mapping, data pipelines, data modeling, and finally data consumption. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. They will proactively optimize or even assist with the design of our company's data architecture to support our next generation of products and data initiatives. They will work on various, ambiguous, and complex issues, where analysis of situations or data requires an in- depth evaluation of variable factors, thorough understanding of the business strategy, operations, markets and key stakeholders. Our flexible/ hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC , Chicago, IL, Quincy, MA. Applicants must be currently authorized to work in the United States on a full-time basis. Duties and Responsibilities * Creates and approves source to target data mappings for data pipelines and integration activities * Identifies and resolves the impact of proposed application development/enhancements projects * Performs data profiling and process analysis to understand key source systems and uses knowledge of application features and functions to assess scope and impact of business needs * Works with business users to design, develop, test, and implement business intelligence solutions in the Data & Analytics Platform * Assists in assessing alternative software solutions for workability and technical feasibility. * Work closely with business teams in every stage from gathering requirements to closure of project * Work with the key stakeholders to create requirements for each business solution, ensure the requirements are developed in concert with and agreed upon by the business partner, and that the solution delivers the agreed upon business needs * Implement and maintain data governance policies and procedures to ensure data quality, security and compliance * Initiates and leads workstreams for improving way of working in teams, eliminating technical debt and optimizing business processes * Acts as a subject matter expert on technology solution * Responsible for coaching/mentoring/leading junior engineers * Consistently delivers very high-quality work in cross-functional environments - seen as an expert and technical leader among peers * Has a balanced approach to team empowerment and leadership driving successful brainstorming sessions and solid technical conclusions to work approaches while modeling self-accountability, continuous development and team contributions * Remain up to date on emerging technologies and best practices in data engineering. Recommend new approaches to improving data infrastructure * Ensure operational stability of a 24/7/365 grocery retail environment by providing technical support, system monitoring, and issue resolution which may be required during off-hours, weekends, and holidays as needed Qualifications * Bachelors Degree in Computer Science, CIS or related (or equivalent related work experience) * 8 or more years of equivalent experience in relevant job or field of technology * Experience in an advanced role or technical capacity, leading teams directly or indirectly * Experience directly responsible for guiding, training or onboarding team members in relevant technologies, capabilities or skills * Experience with some or all of the following: Databricks, Azure Data Factory, Azure DevOps, TSQL, Python, PySpark, PowerBI, Data Warehouse Concepts Preferred Qualifications * Masters Degree in relevant field of study, Additional trainings or certifications in relevant field of study * 3 or more years experience in Agile teams and Product/Platform based operating model * 3 or more years of experience in leading teams or advancing technical capability in teams * Experience in retail or grocery preferred #DICEJobs #LI-hybrid #LI-SS1 Salary Range: $146,960 - $220,440 Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws. At Ahold Delhaize USA, we provide services to one of the largest portfolios of grocery companies in the nation, and we're actively seeking top talent. Our team shares a common motivation to drive change, take ownership and enable our brands to better care for their customers. We thrive on supporting great local grocery brands and their strategies. Our associates are the heartbeat of our organization. We are committed to offering a welcoming work environment where all associates can succeed and thrive. Guided by our values of courage, care, teamwork, integrity (and even a little humor), we are dedicated to being a great place to work. We believe in collaboration, curiosity, and continuous learning in all that we think, create and do. While building a culture where personal and professional growth are just as important as business growth, we invest in our people, empowering them to learn, grow and deliver at all levels of the business.