Data engineer jobs in North Carolina

We are seeking a visionary and hands-on Vice President-level Lead Data Scientist to join our Global Payments & Liquidity (GPL) team. In this role, you will work with senior leaders to uncover insights, solve complex problems, and build data-driven solutions that fuel growth, improve products, and deepen customer engagement. You will analyze product portfolios, identify strategic opportunities, and design solutions that deepen customer relationships and accelerate GPL's growth. In this role you will: Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives. Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models. Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions. Enforce and establish best practices related to data quality and governance. Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation. Communicate insights and recommendations clearly to both technical and non-technical stakeholders. 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 of hands-on programming using SQL 5+ years of Python experience 1+ years of experience in a leadership or mentorship role Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science Desired Qualifications: Prior experience supporting Agile product teams in a corporate environment Knowledge and understanding of banking products and services, including Transaction Services in areas such as payables and receivables and working capital solutions Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau). Job Expectations: This role will be required to work on-site in Charlotte, NC. Candidates outside of commuting distance must be willing to relocate. Base Salary Range for Charlotte, NC: $139,000.00 - $217,000.00 annually. Role is eligible for annual discretionary performance bonus. Posting End Date: 28 Dec 2025 *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.

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens. Applications are accepted until further notice. Meet the Team At Cisco IT, you will join a collaborative group of builders, innovators, and change agents. Our team brings together expertise in: CRM architecture, Data governance, Sales and partner compensation and AI and automation We believe the best ideas come from diverse voices and bold thinking. You'll have the support and resources to learn, grow, and make a meaningful impact. Your Impact As a Data Engineer at Cisco, you will: * Build and support integrated data solutions that power business analytics and machine learning * Ensure data is high-quality, accessible, and easy to use * Enable smarter decisions, optimize marketing investments, and enhance customer experiences * Make complex data understandable and actionable * Collaborate across teams to deliver meaningful solutions for a global community Minimum Qualifications * Enrolled in or recently graduated from a technical degree or certification program (e.g., Technical Boot Camp, Apprenticeship, Community College, or 4-Year University) * AI literacy and a cloud-first mindset * Familiarity with agile methodologies and data-driven approaches * Experience or familiarity with databases (e.g., MySQL, PostgreSQL, MongoDB) and big data frameworks (e.g., Hadoop, Spark) * Able to legally live and work in the United States without visa support or sponsorship Preferred Qualifications * Experience with RESTful API design and development for data integration * Experience with business intelligence tools such as Tableau * Understanding of security best practices in data encryption, secure data transfer, and access controls * Knowledge of full-stack development for comprehensive data solutions Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: * 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees * 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco * Non-exempt employees receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees * Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) * 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next * Additional paid time away may be requested to deal with critical or emergency issues for family members * Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: * .75% of incentive target for each 1% of revenue attainment up to 50% of quota; * 1.5% of incentive target for each 1% of attainment between 50% and 75%; * 1% of incentive target for each 1% of attainment between 75% and 100%; and * Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $123,600.00 - $200,100.00 Non-Metro New York state & Washington state: $109,900.00 - $181,600.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Analytics, Data Science, Data Visualization, Statistics Certifications: None Experience: 0 + years of related experience US Citizenship Required: Yes Job Description: Seize your opportunity to make a personal impact as Data Scientist I supporting mission critical work on an exciting program. GDIT is your place to make meaningful contributions to challenging projects, build your skills, and grow a rewarding career. At GDIT, people are our differentiator. As a Human Performance Data Scientist I supporting our customer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Human Performance Data Scientist I joining our team. The Human Performance (HP) Data Scientist I supports the program by conducting basic data entry, data cleaning, and performance analysis that directly contributes to the readiness and resilience of Special Operations Forces (SOF) personnel. The position is designed to maximize the accuracy, integrity, and applied use of HP data across domains, with priority on SOF Operators and Direct Combat Support personnel. HOW A HUMAN PERFORMANCE DATA SCIENTIST I WILL MAKE AN IMPACT: The Human Performance Data Scientist I is responsible for entering, cleaning, and preparing HP data collected through program initiatives. Working with program staff and the Government biostatistician, the Human Performance Data Scientist I assist in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information. Assists in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information. Collaborates with strength coaches, dietitians, athletic trainers, physical therapists, psychologists, and cognitive enhancement specialists to identify opportunities for meaningful human performance data collection. Supports preparation of basic reports and presentations that communicate trends, participation metrics, and readiness insights for program leadership. The contractor receives access to Government systems and uses these systems to manage and analyze human performance data. WHAT YOU'LL NEED TO SUCCEED: EDUCATION: Bachelor's degree in quantitative science, social science or related discipline. Proficient with the suite of Microsoft Office programs, including Word, Excel and Access. Basic proficiency with commonly used statistical software applications such as SPSS, SAS, or R. Proficiency may be demonstrated through prior work history in sport science, military human performance, healthcare, research, or through a history of publications. Possess excellent communication skills and shall be highly detail oriented and organized LOCATION: Various CONUS SITES CLEARANCE: Ability to obtain and maintain Secret or Top-Secret Clearance. This is a contingent posting, expected to start in 2026. GDIT IS YOUR PLACE: 401K with company match Comprehensive health and wellness packages Internal mobility team dedicated to helping you own your career Professional growth opportunities including paid education and certifications Cutting-edge technology you can learn from Rest and recharge with paid vacation and holidays The likely salary range for this position is $71,445 - $96,661. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Onsite Work Location: USA FL Hurlburt Field - Hurlburt Fld (FLC017) Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health * We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. * We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. * We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities Summary The Principal Clinical Data Scientist provides strategic and operational leadership for end-to-end clinical data collection, cleaning, and quality oversight across complex clinical studies. This role serves as the functional lead for Clinical Data Science, ensuring clinical data deliverables are fit for purpose, compliant with regulatory and contractual requirements, and aligned with sponsor expectations and study timelines. The position partners cross-functionally to drive data quality, risk mitigation, analytics innovation, and timely delivery of clinical data milestones. Responsibilities * Serve as the Data Management Functional Lead for Clinical Data Science on complex, multi-scope clinical projects and act as the primary liaison between Clinical Data Science, Project Management, Clinical Monitoring, and other functional groups. * Develop Data Management Plan, Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis * Act as the central steward of clinical data quality through holistic review of clinical and operational data using detailed protocol and therapeutic area knowledge. * Ensure required data elements and corresponding data quality oversight steps are identified to support defined study analyses. * Coordinate cross-functional data cleaning activities to meet quality standards, timelines, and contractual obligations. * Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis. * Develop Clinical Data Acquisition Plans and data flow diagrams for complex studies and align data flow with study protocols, regulatory requirements, and study endpoints. * Assess risks related to protocol design, program-level strategies, and study parameters that may impact data credibility and trial reliability. * Design and drive development of analytical tools and dashboards to identify potentially unreliable or high-risk data. * Perform analytic reviews as defined in the scope of work and data acquisition plans; identify root causes and implement systematic resolutions. * Demonstrate understanding of advanced technologies and assess their applicability to individual studies or programs. * Monitor and communicate project progress using status reports, tracking tools, and metrics to Sponsors and internal teams. * Ensure launch, delivery, and completion of Clinical Data Science milestones in compliance with contracts, SOPs, guidelines, and regulatory requirements. * Collect and analyze metrics to support continuous process improvement initiatives. * Review and manage Clinical Data Science budgets, identify out-of-scope activities, and initiate change orders through Project Management. * Plan, manage, and allocate Clinical Data Science resources and coordinate the work of assigned team members. * Develop and maintain project plans, specifications, and documentation in compliance with SOP requirements. * Maintain ongoing documentation and ensure Trial Master File (TMF) completeness and accuracy. * Participate in and present at internal, Sponsor, investigator, and third-party meetings. * Provide input to proposals, bid defenses, and RFP responses and promote new Clinical Data Science business opportunities aligned with Sponsor strategies. * Prepare documentation for and participate in internal and external audits. * Train and mentor junior team members and maintain proficiency in Clinical Data Science systems through ongoing training. * Perform other duties as assigned. Qualifications Education * Bachelor's degree in Biological Sciences, Computer Science, Mathematics, Data Science, or related discipline required. * Master's degree preferred. * Equivalent relevant experience may be considered in lieu of degree. Experience * Minimum of 10 years of experience in Clinical Data Management and/or Clinical Data Science. * At least 5 years of project management experience. * Experience with Clinical Data Science practices and relational database management systems. * In-depth knowledge of the drug development lifecycle, including risk-based data quality approaches and biometrics workflows. Skills & Knowledge * Expertise in protocol interpretation, data collection strategies, and data cleaning specification development. * Knowledge of ALCOA++ data quality principles. * Knowledge of medical terminology, clinical trial data, and ICH/GCP regulatory requirements. * Proficiency with Microsoft Word, Excel, PowerPoint, email, and Windows-based applications. * Strong leadership, communication, organizational, and time-management skills. * Ability to manage multiple priorities in a fast-paced, dynamic environment. * Ability to work independently and collaboratively across multidisciplinary teams. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $95,000.00 - $175,700.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. *************************** Additional Information Tasks, duties, and responsibilities as listed in this are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Principal Clinical Data Scientist- Clinical Data Management Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.

Market America, a product brokerage and Internet marketing company that specializes in One-to-One Marketing, is seeking an experienced Staff Data Engineer for our IT team.

We are seeking a visionary and hands-on Vice President-level Lead Data Scientist to join our Global Payments & Liquidity (GPL) team. In this role, you will work with senior leaders to uncover insights, solve complex problems, and build data-driven solutions that fuel growth, improve products, and deepen customer engagement. You will analyze product portfolios, identify strategic opportunities, and design solutions that deepen customer relationships and accelerate GPL's growth. In this role you will: Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives. Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models. Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions. Enforce and establish best practices related to data quality and governance. Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation. Communicate insights and recommendations clearly to both technical and non-technical stakeholders. 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 of hands-on programming using SQL 5+ years of Python experience 1+ years of experience in a leadership or mentorship role Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science Desired Qualifications: Prior experience supporting Agile product teams in a corporate environment Knowledge and understanding of banking products and services, including Transaction Services in areas such as payables and receivables and working capital solutions Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau). Job Expectations: This role will be required to work on-site in Charlotte, NC. Candidates outside of commuting distance must be willing to relocate. Base Salary Range for Charlotte, NC: $139,000.00 - $217,000.00 annually. Role is eligible for annual discretionary performance bonus. Posting End Date: 28 Dec 2025 *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.

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. Green Card and USC :- At least 7+ years of overall experience HDFS architecture and understanding of all critical architectural concepts including type of nodes, node interaction, YARN, Zoo Keeper, and Map reduce etc . Hand on experience in Hive: All concepts including Hive queries, UDF, Different file formats like ORC, AVRO, and Parquet etc. Hand on experience in developing Sqoop, Spark. Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing, look ups, transformation, data versioning etc. Hand on experience in developing Oozie workflow definition and execution Knowledge of a HDFS distribution preferably Cloudera. Understanding of Monitoring and operational capabilities of the distribution Knowledge of Flume, Kafka is a plus Hand on experience in programming languages like Java, Python, Perl. At least 4 years of experience in translating functional /non-functional requirements to system requirements. Experience in working with business users to analyze and understand business data and scenarios. Ability to work in a team environment with client interfacing skills. Experience and desire to work in a Global delivery environment. Experience leading medium to large sized teams. CloudEra Certification Knowledge of PLSQL. Job Description:- At least 7+ years of overall experience HDFS architecture and understanding of all critical architectural concepts including type of nodes, node interaction, YARN, Zoo Keeper, and Map reduce etc . Hand on experience in Hive: All concepts including Hive queries, UDF, Different file formats like ORC, AVRO, and Parquet etc. Hand on experience in developing Sqoop, Spark. Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing, look ups, transformation, data versioning etc. Hand on experience in developing Oozie workflow definition and execution Knowledge of a HDFS distribution preferably Cloudera. Understanding of Monitoring and operational capabilities of the distribution Knowledge of Flume, Kafka is a plus Hand on experience in programming languages like Java, Python, Perl. At least 4 years of experience in translating functional /non-functional requirements to system requirements. Experience in working with business users to analyze and understand business data and scenarios. Ability to work in a team environment with client interfacing skills. Experience and desire to work in a Global delivery environment. Experience leading medium to large sized teams. CloudEra Certification Knowledge of PLSQL. Qualifications Basic 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 within the Information Technologies. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder , GC-EAD , H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume .

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

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

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

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

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.

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: * Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. * Analyze large, complex datasets to extract insights and support business decision-making. * Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: * Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. * Act as a subject-matter expert in data engineering and provide guidance on best practices. * Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: * Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. * Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: * Follow and advocate for SDLC best practices in data engineering projects. * Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: * Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. * Education: Masters degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: * Programming: Advanced expertise in Python; experience with R is a plus. * Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. * Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. * SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. * Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. * Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: * Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). * Familiarity with Azure Functions, Event Grid, and Logic Apps. * Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). * Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

ADI is seeking a passionate Data Platforms Engineer to design, develop, and maintain our enterprise data platforms. As the Engineer of Data Platforms, you will be part of a talented engineering and operations team focused on building and supporting secure, performant, and scalable next gen data platforms that include Snowflake, Databricks, MS Fabric, PowerBI, DBT, Airflow, Azure data services, SQL Server database and modern AI/ML technologies. This role will help ensuring our data infrastructure meets both present and future needs while adhering to governance, compliance and operational excellence. JOB DUTIES: Platform Development - end-to-end engineering data platforms, ensuring platform reliability, scalability, and extensibility that evolves with the business goals and customer needs Build reusable frameworks and automation using snowflake cloud, GitHub, Azure Data Factory, DBT, or similar tools. Maintain critical infrastructure, including OLTP databases, near real-time data pipelines, batch processing systems and frameworks that make data infrastructure accessible for engineering teams Administer, configure, maintain and support data, analytics and cloud data platforms Manage and administer data security and protection to protect the databases against threats or unauthorized access. Contribute to data modeling, partitioning, indexing, clustering, and performance optimization efforts in Snowflake and other data platforms, following established best practices Resource Monitoring, cost optimization, data validation and quality checks inbuilt into the data pipeline Maintain run books and knowledge bases for platform operations team Ensure seamless integration of data systems across the company, collaborating with data engineering and analytics teams to align solutions with business needs Performs after-hours support for critical production systems with occasional, scheduled maintenance or release deployments and provide on call support as needed YOU MUST HAVE: 2+ years' overall experience designing, deploying, managing and supporting RDBMS, Data Warehouse systems, Data Lake, and BI solutions, including working with any platforms such as, SQL Server, Snowflake Cloud, Databricks, DBT, ADF (Azure Data Factory) and other Azure services Advanced SQL proficiency Proficiency in Snowflake cloud advanced capabilities Hands-on public cloud experience including experience with technologies and tools such as Continuous Integration, Continuous Deployment, Configuration Management, and Provisioning Automation with tools such as Github Understanding of security practices and certificate management Experience with orchestration tools WE VALUE: Certifications in cloud technologies, data management, or data engineering (e.g., Azure Data Engineer, Snowflake SnowPro core/Advanced) Understanding of enterprise data management principles Experience with AI/ML technologies and MLOps capabilities and tools Experience with Data Platforms administration #LI-MH2 #LI-HYBRID

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

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is seeking an experienced Gameplay/AI Systems Programmer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework. This is a rare opportunity to help shape Epic's game engine while contributing to one of the world's most acclaimed games. In this role, you will Drive initiatives with minimal oversight to build strong, performant foundations that will last for years Analyze current FN LLM systems and develop a strategic plan to unify them into NPC systems Tackle complex low-level problems to optimize or deliver high-performance systems Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN What we're looking for Professional game development experience, including shipping AAA titles featuring gameplay AI Excellent communication and interpersonal skills, self-motivated and able to work independently Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding Strong C++ skills for building efficient gameplay AI systems and tools Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power Experience with live service games and consoles is a plus Experience or interest in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects is a bonus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). British Columbia Base Pay Range$182,815-$268,128 CAD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

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

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is seeking an experienced Gameplay/AI Systems Programmer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework. This is a rare opportunity to help shape Epic's game engine while contributing to one of the world's most acclaimed games. In this role, you will Drive initiatives with minimal oversight to build strong, performant foundations that will last for years Analyze current Fortnite LLM systems and develop a strategic plan to unify them into NPC systems Tackle complex low-level problems to optimize or deliver high-performance systems Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN What we're looking for Professional game development experience, including shipping AAA titles featuring gameplay AI Excellent communication and interpersonal skills, self-motivated and able to work independently Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding Strong C++ skills for building efficient gameplay AI systems and tools Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power Experience with live service games and consoles is a plus Experience or interest in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects is a bonus EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.