Data scientist jobs in Charlotte, NC

W2 ONLY - NO CORP TO CORP - CONTRACT TO HIRE - NO VISA SPONSOR/TRANSFER - NO 3RD PARTY AGENCY CANDIDATES Data Engineer Serve as subject matter expert and/or technical lead for large-scale data products. Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data. Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability. Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences. Build and enhance data pipelines using cloud-based architectures. Design simplified data models for complex business problems. Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments. Operate independently while fostering a collaborative, transformation-focused mindset. Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles. Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value. Qualifications 5+ years of data engineering experience. 2+ years developing and operating production workloads in cloud infrastructure. Bachelor's degree in Computer Science, Data Science, Information Technology, or related field. Hands-on experience with Snowflake (including SnowSQL, Snowpipe). Expert-level skills in AWS services, Snowflake, Python, Spark (certifications are a plus). Proficiency in ETL tools such as Talend and Informatica. Strong knowledge of Data Warehousing (modeling, mapping, batch and real-time pipelines). Experience with DataOps tools (GitHub, Jenkins, UDeploy). Familiarity with P&C Commercial Lines business. Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, Shell scripting. Experience using Agile tools like Rally. Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders.

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. US 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

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.

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.

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

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. 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Charlotte, North Carolina;Richmond, Virginia; Fort Worth, Texas; New York, New York; Boston, Massachusetts; Chandler, Arizona; Chicago, Illinois; Tampa, Florida; Kennesaw, Georgia; 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. This job is responsible for supporting advanced analytics technical development and the pathway to optimality, scalability, and sustainability in close partnership with Bank of America Technology. This work closely integrates with business efforts to improve portfolio risk, profitability, performance forecasting, and operational performance for customer products and related divisions such as credit cards. Key responsibilities include applying knowledge of multiple business and technical-related topics and independently driving strategic improvements, large-scale projects, and initiatives. Job expectations include working with counterparts within the Line of Business, across the technology organization, and risk teams. **Client Protection Shared Services** - Advanced Analytics is looking for a seasoned and energetic data science leader to join our team as a Lead Data Scientist and help us deliver data science products to the production environment especially for scalable graph analytics. In this role, you will be expected to work on large and complex data science projects. Collaborating with internal strategy, technology, product, and policy partners to deploy advanced analytical solutions with the goal of reducing fraud losses, lowering false positive impacts, improving client experience, and ensuring the Bank minimizes its total cost of fraud. **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 + Manages a roadmap of data science use cases for technical development and implementation to the production environment in close partnership with Bank of America Technology + Manages relationships with multiple technology platform and development team leaders including alignment of roadmaps, managing projects, and managing risks + Engages business and technology senior leaders on reporting of project/deliverable statuses, opportunity identification, and planning efforts + Oversees development, delivery and quality assurance for data science use cases delivered to the production environment and other areas of the line of business + Performs complex analysis of financial models, market data, financial data, and portfolio trends to understand product performance and improve portfolio risk, profitability, performance forecasting, and operational performance + Coaches and mentors peers to improve proficiency in a variety of systems and serves as a subject matter expert on multiple business and technical-related topics + Identifies business trends based on economic and portfolio conditions and communicates findings to senior management + Supports execution of large scale projects, such as platform conversions or new project integrations by conducting advanced reporting and drawing analytics based insights + Link Analysis/Graph analytics to find and mitigate densely connected fraud networks + Developing and tuning graph algorithms to maximize detection of fraud + Assist with the generation, prioritization, and investigation of fraud rings **Required Qualifications:** - Minimum of 4 years of experience in data and analytics - Must have familiarity with Graph databases (e.g. TigerGraph, Neo4J) and graph query languages - Must be proficient with SQL and one of SAS, Python, or Java - Critical problem-solving skills 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 leading a broader team - Excellent communication and influencing skills - Thrives in fast-paced and highly dynamic environment - Intellectual curiosity and strong urge to figure out the "whys" of a problem and come up with creative solutions - Expertise handling data across its lifecycle in a variety of formats and storage technologies (e.g., structured, semi-structured, unstructured; graph; hadoop; kafka) - Expertise in data analytics and technical development lifecycles including having coached junior staff **Desired Qualifications:** - Advanced STEM (Science, Technology, Engineering, Math) degree (Masters or PhD) - 7+ years of experience; work in financial services is very helpful, with preference to fraud, credit, cybersecurity, or other heavily quantitative areas - Deep understanding of graph databases, graph algorithms, and experience developing graph schemas - Understanding of advanced machine learning methodologies including neural networks, ensemble learning like XGB, and other techniques - Proficient with H2O or similar advanced analytical tools - Experience managing multi-year roadmaps, engaging technical and non-technical stakeholders, and leading large cross-functional formal projects - Experience influencing mid to senior (executive) level leaders - Experience managing risk and issue remediation - Understanding of computer science topics like automation, code versioning, computational complexity, parallel processing, requirements gathering, testing methodologies, and development lifecycle models like Agile **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.

At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South. Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience. Be a part of the team that will make this vision a reality….designing and building a world class fiber network and creating a customer experience second to none. Check us out on the web! Job Description Role: We are currently looking for a Senior Data Scientist to join our Finance, Strategy & Transformation team at Brightspeed. You will be responsible for developing AI and ML solutions to drive improved business performance and efficiency across domains. Impact: You will lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring. You will dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets. You will integrate and curate data from a wide range of internal and external sources to develop rich datasets for predictive & prescriptive modeling as well as machine learning. You will define and implement best practices to generate accurate reports, visualizations & dashboards to explain results simply and succinctly to technical and non-technical users. You will create models for visual recognition, processing of natural language that analyze complex data to make predictions or decisions, mimicking human intelligence. You will identify the most effective model architecture and parameters to drive accuracy and performance. You will liaise with stakeholders to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance. You will build partnerships, share knowledge, and deliver valuable predictive insights to inform strategic decisions, all the while highlighting potential risks and opportunities. Qualifications You will thrive in this role if you: Required experience 5+ years of experience of building AI and/or machine learning models for business applications 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying models in production 3+ years of experience with data lake and cloud services, preferably GCP Track record of academic rigor and professional certification Bachelor's degree or higher in Computer Science, Operations Research, Statistics, Mathematics or related field. Master's degree strongly preferred. Data Science or AI certifications Analytical / Technical Skills Deep expertise in machine learning, neural networks, computer vision, large language models, natural language processing or similar disciplines Demonstrated experience in algorithm selection, model training, feature engineering, fine-tuning performance and implementation Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn Strong capabilities in SQL and experience working with SQL query engines Experience with Data Visualization tools such as Power BI Transformation & Process Improvement Expertise in Agile methodology for product and software development Experience with leveraging Data Science and AI to drive business optimization Structured problem solving & analytical skills Ability to navigate ambiguous problem contexts and apply critical thinking to identify/diagnose problems and solve with simple, logical solutions Excellent quantitative skills and data-driven decision-making capabilities Strong executive communication Ability to clearly articulate insights (verbal and written) Ability to effectively communicate technical and non-technical information and concepts to all levels of the organization Unwavering focus on results while creating strong relationships Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and deadlines simultaneously A plus if you have: Relevant Telecom experience 2+ years of experience with the design, deployment and evaluation of AI agents and orchestration Physical Demands: Work is mostly sedentary, performed indoors from a home or company office, while operating a computer and other office productivity machinery, such as a calculator, copy machine and computer printer. #LI-RW1 Additional Information WHY JOIN US? We aspire to contemporary ways of working. We are committed to being a leader in defining a new way to work because we recognize the changing mindset of today's workforce. We are opening a new, state-of-the-art corporate HQ in Charlotte, NC and our current priority is to make it a truly vibrant destination by hiring talent in the greater Charlotte area who are interested in a hybrid remote/office work arrangement. As always, however, we are also open to providing sensible remote options to talent outside of the Charlotte area. Why? Because our purpose is to reimagine how people work, learn, play and connect! We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. We are committed to building a team as diverse as the customers we serve. Diversity, equity and inclusion are at the center of our grounding belief in Being Real. When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve. Brightspeed is an Equal Opportunity Employer WHY JOIN US? We aspire to contemporary ways of working. Recognized as a Top Workplace by the Charlotte Observer, Brightspeed HQ is located on the 7th floor of the new Vantage South End - East Tower in Charlotte, NC. We prioritize hiring talent in the Charlotte area, whenever possible, to make it a truly vibrant destination for our hybrid workforce. At Brightspeed, we have roles that are designated as remote, hybrid, office or field-based, depending on the position, business needs and individual circumstances. We also invest in technology that enables our entire team to stay connected. Why? Because Brightspeed recognizes the value of finding the best talent for the job, wherever they may be. We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. Brightspeed offers a comprehensive benefit program, including competitive medical, dental, vision, and life insurance; an employee assistance program; a 401K plan with company match and a host of voluntary benefits. Inclusion and belonging are at the center of our grounding belief in Being Real. When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve. Brightspeed is an Equal Opportunity Employer that is committed to inclusion of all qualified individuals, including individuals with a disability/veterans. If you require reasonable accommodation to complete a job application or to otherwise participate in the hiring process, please contact [email protected] to initiate the accommodations process. For all applicants, please take a moment to review our Privacy Notices: Brightspeed's Privacy Notice for California Residents Brightspeed's Privacy Notice

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

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 ********************

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities * Review, prepare and/or certify client projects and ensure accurate client deliverables including: * Actuarial valuations and reports * Benefit statements * Plan documents, amendments, employee communications (SPDs, etc.) * Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) * IRS determination filings and PBGC (Form 500 series) termination submissions * ASC 715/960 * Perform and review combined plan non-discrimination testing * Answer technical questions posed by staff * Research the Internal Revenue Code and other technical resources to resolve client issues * Provide technical training for staff * Provide back up to other teams as necessary * Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. * Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. * Assist with other tasks and projects as assigned Supervision * N/A Section 3: Experience, Skills, Knowledge Requirements * Bachelor's degree in actuarial science, math or math related field * Enrolled Actuary designation with 5 years industry experience * Advanced understanding of: * Pension law * Plan documents and IRS favorable determination letters * Actuarial valuations and software systems * Excellent technical/analytical skills * Ability to research technical issues * Ability to explain technical issues to all levels of associates * Good verbal and written communication skills * Demonstrated expertise with Microsoft Office, particularly Excel applications * Demonstrated expertise with industry recognized pension valuation software * Detail and accuracy oriented * Good time management skills * Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws ("Protected Status").

The Data Science Intern will work with a team of data scientists, data engineers, and actuaries. You will learn to apply analytical and software engineering skills to solve business problems arising in mortality risk quantification, insurance pricing, explainable/interpretable machine learning, and ML fairness. Other job function expectations include: using tools such as python, jupyter, git, and communicating outcomes using MS PowerPoint. Responsibilities Participate in an intensive 11-week data science internship and learn how data science is practiced in the industry Work as part of an agile team of data scientists, actuaries, and machine learning engineers Assist data scientists in training/interpreting ML models, and conducting experiments Assist data scientists in writing ML pipelines, while applying SOLID design principles to develop analytics software Assist data scientists in understanding financial impact of machine learning models Research and present a final project to Americas Data Analytics staff Qualifications Pursuing Masters or Bachelor's degree, preferably in a quantitative field (CS, Engineering, Math, Data Science, etc.) Python - should be able to write working python code Probability, statistics, and/or machine learning related coursework Strong academic performance and analytical thinking Hands-on experience with data tools and projects Effective communication and collaboration skills Hybrid work policy - SCOR is committed to an “in-office” culture where people can collaborate, exchange ideas and establish stronger working relationships while still providing flexibility. To support employee work life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely. Candidates must have valid authorization to work in the U.S. without the need for employer sponsorship now or in the future. Pay Range: $22.00 - 24.00 hourly rate. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees.

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.

Artificial Intelligence(GenAI)/ML + Data science Must Have Technical/Functional Skills Primary: Artificial intelligence/ML Secondary: Data science, Python, NLP, Agile tools Experience: 7 to 10+ Roles & Responsibilities ⦁ Experience with NLP, deep learning, or time series analysis. ⦁ Experience deploying models to production environments. ⦁ Knowledge of regulatory requirements and compliance in banking and finance. ⦁ Familiarity with MLOps practices and tools. ⦁ Experience with Agile methodology and tools (JIRA or Rally) ⦁ Proven experience as a Data Scientist in Banking or a similar domain ⦁ Proficiency in Python or R, and experience with data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). ⦁ Hands-on experience with large language models (e.g., OpenAI GPT, Llama, or similar), including fine-tuning and prompt engineering. ⦁ Strong knowledge of statistics, machine learning, and data mining techniques. ⦁ Experience with data visualization tools (e.g., Tableau, Power BI). ⦁ Experience with Big Data Platforms (Hadoop). ⦁ Familiarity with SQL and working with relational databases. ⦁ Excellent problem-solving, communication, and collaboration skills. ⦁ Experience with cloud platforms (AWS, Azure, or GCP) is a plus. ⦁ Analyze large financial datasets to extract insights and support business decisions. ⦁ Develop, implement, and evaluate machine learning models and algorithms tailored to banking and finance use cases (e.g., risk modeling, fraud detection, customer segmentation). ⦁ Apply and fine-tune large language models (LLMs) for tasks such as document analysis, customer communication, and regulatory compliance. ⦁ Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions. ⦁ Communicate findings and recommendations through reports, dashboards, and presentations. ⦁ Work with data engineers to ensure data quality and pipeline reliability. Salary Range- $95,000-$120,000 a year

New York, New York;Charlotte, North Carolina **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! **The Data and AI team within Global Payment Solutions (GPS) at Bank of America** is looking for a highly technical Research Engineerthat is a self-starter who can translate complex concepts and generate actionable insights. **Who we are:** The GPS Data and AI team drives and powers innovation within the one of the largest payment businesses in the world. We are the core data scientists building end-to-end production level solutions at scale. The team is a collection of individuals that welcomes challenging problems because that is where the learning begins. Many of our projects begin with "think tank" sessions with business teams that is later translated to tangible solutions and products. **Representative Projects:** + Develop advanced statistical methods to determine the optimal interest-rate or product pricing strategies for clients + Build a Generative AI-powered search platform that enables sales and product teams to access high quality answers to product, servicing, and client related questions + Develop AI models that shift foreign currency conversion "up the payment stream," reducing reliability on beneficiary banks + Apply advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, helping servicing teams anticipate client needs and improve service quality **Who we're looking for:** As aResearch Engineeron the GPS team, you will tackle one of our most import challenges: building models that transform data into revenue-driving insights and products. This role blends research, engineering, and product responsibilities, requiring you to design statistical models, build scalable ML pipelines, and deploy algorithms directly into our production systems. You will work across teams to solve problems in recommendation, stochastic optimization, and time-series forecasting; while running large A/B tests on new methods we design to push the boundaries of what data can achieve. If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. **Responsibilities:** + Frame abstract business problems using advanced data science and machine learning algorithms + Work with stakeholders throughout the organization to identify opportunities for leveraging internal and external data to drive business solutions + Own critical research and application development, strengthening the firm's competitive advantage + Shape cross-team collaboration to advance the firm's data science capabilities **Required Skills:** + Minimum Bachelor's degree in a quantitative field such as computer science, math, statistics, and physics + Minimum 3 years of experience with translating mathematical models and algorithms into code (Python and/or C++) + Strong foundation in probability, statistics, and applied machine learning (NLP, time-series analysis, Generative AI) + Prior experience working in a highly technical data driven research environment + Ability to communicate complex topics in a concise and coherent manner **Desired Skills:** + Graduate level degree in a quantitative field such as, computer science, math, statistics, and physics + Demonstrated prior experience through work, research or passion projects in RAG, Agentic Frameworks, LLMs, Reinforcement Learning + Are energized by the high stakes and intensity of dynamic environments and ready to dive in whenever + Are excited to dive into new technical areas on a regular basis **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.

Our client is looking for a Sr. Data Scientist to join their team in Charlotte, NC. As the Sr. Data Scientist, you candidate will be collaborating with Loyalty, Marketing, Finance, and Data teams to deliver data-driven insights that drive strategic and tactical decision-making. The ideal candidate will have hands-on experience building Machine Learning and Statistical models, interpreting results for business stakeholders, and integrating those insights into operational excellence initiatives. Responsibilities shown below: - Lead the design and implementation of high-impact data science projects involving ambiguous problems with incomplete data. - Drive end-to-end data science project lifecycle from business problem understanding, data collection, preprocessing to deployment and performance monitoring. - Translate complex model and statistical outputs into clear, actionable insights for Loyalty, Marketing, and Leadership teams. - Lead engagement across functions and communicate insights to partners. Frame insights in terms of business impact, risks, and trade-offs. - Implement CI/CD and automation, performance monitoring and tuning, leveraging AI Agent structures to manage and streamline activity. - Mentor junior team members in their code development and data management, driving best practices in code management (Git), testing, review and release processes. - Foster a data-driven culture by promoting experimentation, curiosity, and evidence-based decision-making. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, 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 ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements - Must be comfortable working onsite 5 days per week - 7-10+ years of experience working as a Data Scientist - Experience deploying models and solutions into production environments - Proven experience working in customer-centric domains, such as e-commerce, retail, or other industries where understanding customer behavior and delivering personalized solutions is critical - 5+ years of experience working with Python for data modeling - 5+ years of experience working with SQL - Hands-on experience on cloud-based platforms, along with hands-on experience on cloud-based platforms - Fantastic verbal and writing communication skills - Experience supporting a Global organization - Experience working with Databricks, specifically building pipelines, querying and processing tables, etc. - Experience with Power BI, specifically to build joins, aggregated files, etc.

At Brightspeed, we are reimagining how people live, work, play and connect by providing fast, reliable internet connections and an awesome customer experience in twenty states throughout the Midwest and South. Backed by funds managed by Apollo Global Management, our vision is to accelerate the upgrade of copper to fiber optic technologies, bringing faster and more reliable internet service to many rural markets traditionally underserved by broadband providers, while delivering best-in-class customer experience. Be a part of the team that will make this vision a reality….designing and building a world class fiber network and creating a customer experience second to none. Check us out on the web! Job Description Role: We are currently looking for a Senior Data Scientist to join our Finance, Strategy & Transformation team at Brightspeed. You will be responsible for developing AI and ML solutions to drive improved business performance and efficiency across domains. Impact: You will lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring. You will dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets. You will integrate and curate data from a wide range of internal and external sources to develop rich datasets for predictive & prescriptive modeling as well as machine learning. You will define and implement best practices to generate accurate reports, visualizations & dashboards to explain results simply and succinctly to technical and non-technical users. You will create models for visual recognition, processing of natural language that analyze complex data to make predictions or decisions, mimicking human intelligence. You will identify the most effective model architecture and parameters to drive accuracy and performance. You will liaise with stakeholders to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance. You will build partnerships, share knowledge, and deliver valuable predictive insights to inform strategic decisions, all the while highlighting potential risks and opportunities. Qualifications You will thrive in this role if you: Required experience 5+ years of experience of building AI and/or machine learning models for business applications 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying models in production 3+ years of experience with data lake and cloud services, preferably GCP Track record of academic rigor and professional certification Bachelor's degree or higher in Computer Science, Operations Research, Statistics, Mathematics or related field. Master's degree strongly preferred. Data Science or AI certifications Analytical / Technical Skills Deep expertise in machine learning, neural networks, computer vision, large language models, natural language processing or similar disciplines Demonstrated experience in algorithm selection, model training, feature engineering, fine-tuning performance and implementation Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn Strong capabilities in SQL and experience working with SQL query engines Experience with Data Visualization tools such as Power BI Transformation & Process Improvement Expertise in Agile methodology for product and software development Experience with leveraging Data Science and AI to drive business optimization Structured problem solving & analytical skills Ability to navigate ambiguous problem contexts and apply critical thinking to identify/diagnose problems and solve with simple, logical solutions Excellent quantitative skills and data-driven decision-making capabilities Strong executive communication Ability to clearly articulate insights (verbal and written) Ability to effectively communicate technical and non-technical information and concepts to all levels of the organization Unwavering focus on results while creating strong relationships Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and deadlines simultaneously A plus if you have: Relevant Telecom experience 2+ years of experience with the design, deployment and evaluation of AI agents and orchestration Physical Demands: Work is mostly sedentary, performed indoors from a home or company office, while operating a computer and other office productivity machinery, such as a calculator, copy machine and computer printer. #LI-RW1 Additional Information WHY JOIN US? We aspire to contemporary ways of working. We are committed to being a leader in defining a new way to work because we recognize the changing mindset of today's workforce. We are opening a new, state-of-the-art corporate HQ in Charlotte, NC and our current priority is to make it a truly vibrant destination by hiring talent in the greater Charlotte area who are interested in a hybrid remote/office work arrangement. As always, however, we are also open to providing sensible remote options to talent outside of the Charlotte area. Why? Because our purpose is to reimagine how people work, learn, play and connect! We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. We are committed to building a team as diverse as the customers we serve. Diversity, equity and inclusion are at the center of our grounding belief in Being Real. When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve. Brightspeed is an Equal Opportunity Employer WHY JOIN US? We aspire to contemporary ways of working. Recognized as a Top Workplace by the Charlotte Observer, Brightspeed HQ is located on the 7th floor of the new Vantage South End - East Tower in Charlotte, NC. We prioritize hiring talent in the Charlotte area, whenever possible, to make it a truly vibrant destination for our hybrid workforce. At Brightspeed, we have roles that are designated as remote, hybrid, office or field-based, depending on the position, business needs and individual circumstances. We also invest in technology that enables our entire team to stay connected. Why? Because Brightspeed recognizes the value of finding the best talent for the job, wherever they may be. We offer competitive compensation and comprehensive benefits. Our benefits and paid time off programs reflect our underlying belief in promoting overall wellness through physical, emotional and financial health. Brightspeed offers a comprehensive benefit program, including competitive medical, dental, vision, and life insurance; an employee assistance program; a 401K plan with company match and a host of voluntary benefits. Inclusion and belonging are at the center of our grounding belief in Being Real. When we bring our authentic selves to work, everyone is better as a result. A diverse team helps us be fierce advocates for more accessible, inclusive and high-quality internet, because we believe doing so promotes equity in the communities we serve. Brightspeed is an Equal Opportunity Employer that is committed to inclusion of all qualified individuals, including individuals with a disability/veterans. If you require reasonable accommodation to complete a job application or to otherwise participate in the hiring process, please contact taaccommodationrequests@brightspeed.com to initiate the accommodations process. For all applicants, please take a moment to review our Privacy Notices: Brightspeed's Privacy Notice for California Residents Brightspeed's Privacy Notice