Data science internship jobs in Aberdeen, MD - 233 jobs

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

PBF Energy Inc. (NYSE:PBF) is one of the largest independent refiners in North America, operating through its subsidiaries, oil refineries and related facilities. We are seeking a talented Contracts & Data Analyst to join our team as a pivotal member that would play a key role here at PBF Energy. This role would be located onsite at our refinery in Toledo, OH or at one of our other locations. The Contract and Data Analyst plays a key role in supporting the organization's business operations by managing contract lifecycles, contract audits, advanced data analytics, and opportunity identification to drive informed decision-making. This position requires a unique blend of strong contractual expertise, deep analytical capability, and hands-on experience with procurement systems, including the ability to write and modify code to optimize system functionality. PRINCIPAL RESPONSIBILITIES: * This position is responsible for reviewing and analyzing spend data, optimizing sourcing strategies, and developing process improvement indicators to enhance contract performance and overall business outcome. * Work cross-functionally with procurement teams, refinery stakeholders, key suppliers, and other internal partners to ensure data integrity, process efficiency, and strategic alignment throughout all contractual activities. * Conduct detailed contract audits to verify compliance, validate pricing and terms, and identify risk areas or deviations. * Maintain accurate contract records and data repositories, ensuring all documentation is current and compliant with internal policies. * Partner with Legal, Procurement, and business stakeholders to resolve contractual discrepancies and support negotiation strategies. * Develop advanced analytical models to identify cost-saving opportunities, contract leakage, supplier performance trends, and category insights. * Perform complex data extraction, transformation, and analysis using tools such as SQL, Python, Power BI, Tableau, or similar platforms. * Create and maintain dashboards, reports, and data visualizations that support strategic decision-making. * Develop dashboards and reports to track KPIs, supplier performance, and procurement efficiency. * Conduct ad-hoc deep-dive analyses on spend, contract utilization, sourcing opportunities, and operational performance metrics. * Assist in digital transformation efforts related to procurement systems and analytics platforms. * Support configuration, maintenance, and continuous improvement of procurement platforms (e.g., SAP Ariba, Coupa, Jaggaer, Ivalua). * Utilize and maintain procurement and analytics tools (e.g., SAP, Power BI, Ariba, or similar) to monitor performance ensuring seamless strategy execution, track savings, and report out on KPIs such as cost avoidance, cycle time, compliance, and supplier performance across the organization. * Write or modify system code, scripts, and workflows to optimize system performance and automate processes. * Troubleshoot system issues and collaborate with IT, vendors, and cross-functional teams to resolve root causes. * Lead or support system enhancement projects, including testing and user training. * Build detailed cost models and financial analyses to evaluate sourcing scenarios, total cost of ownership, contract proposals, and supplier offerings. * Conduct opportunity assessments across multiple categories, identifying efficiency improvements, cost reduction initiatives, and value-creation levers. * Develop business cases and present findings to leadership to support strategic decisions. * Support sourcing initiatives with data-driven insights and cost-benefit analyses. * Work with internal stakeholders to define procurement requirements and ensure contract compliance. * Collaborate with suppliers to resolve issues, negotiate terms, and ensure service level expectations are met. * Assist in supplier evaluations and performance reviews based on contractual obligations and performance data. * Identify opportunities to streamline procurement processes and improve contract workflows. * Support the development and implementation of procurement policies, tools, and best practices. * Evaluating internal stakeholder feedback and implementing changes to enhance the category services. * Build strong relationships with internal stakeholders, driving supplier development, innovation, and value creation while maintaining accountability for safety, quality, and performance. * Stay abreast of industry trends, emerging technologies, and macroeconomic factors (e.g., tariffs, inflation, labor shortages) that may impact supply markets and sourcing strategies to provide recommendations to senior management. * Provide input to annual category planning, budget forecasting, and strategic supplier reviews with senior leadership. QUALIFICATIONS: * Bachelor's degree in Business Analytics, Supply Chain, Finance, IT or a related field or equivalent Procurement Contracting/Purchasing experience. * Strong proficiency in Microsoft Excel and data visualization tools * Familiarity with procurement or ERP systems (e.g., SAP, Oracle, Coupa, Ariba) * 3 plus years of experience in contract administration, procurement analysis, or data analytics (experience in industrial, manufacturing, or energy sectors preferred). * Demonstrated expertise in advanced analytics, financial modeling, and data interpretation. * Experience supporting sourcing or category management initiatives through data-driven insights. * Strong understanding of contract management principles, procurement policies, and supplier performance metrics. * Ability to analyze large data sets to identify trends, risks, and cost-saving opportunities * Experience working in a centrally led procurement model with enterprise-wide scope * Ability to conduct market research. * Flexibility to adapt to the changing market and organizational priorities. * Excellent communication and negotiation skills to collaborate effectively with cross-functional teams and external stakeholders. * Strong analytical skills with attention to detail, system-savvy, ability to transform complex data into actionable business insights that drive cost savings and process improvement preferred * Proficiency in data management and visualization tools, * Willingness and ability to travel up to 25% of the time to support operations across multiple facilities in the U.S. This position is on site 5 days a week. ONLY CANDIDATES MEETING THE ABOVE REQUIREMENTS WILL BE CONSIDERED FOR SERIOUS CONSIDERATION, PLEASE INCLUDE YOUR SALARY REQUIREMENTS CA Job Posting Requirement: The salary range for this position is $72,815.60- $124,989.84. NJ Job Posting Requirement: The salary range for this position is $72,815.60- $116,172.65. The compensation range listed in this posting is in compliance with applicable state law. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills and internal peer equity will be considered in determining the selected candidate's compensation. Salaries at the time of hire are typically in the lower to middle portion of the above range in order to provide the opportunity to reflect future performance-based increases. In addition to salary, PBF offers a comprehensive benefits package which includes bonus eligibility, health care, retirement benefits, and paid time off. We thank all respondents for their interest in PBF Holding Company LLC ("PBF Energy"), however, only those selected for an interview will be contacted. Please no phone calls or emails to any employee of PBF Energy about this requisition. Placement agencies or recruiters need not respond. All resumes submitted by search firms to any employee of PBF Energy via email, the Internet or in any method without a valid written search agreement will be deemed the sole property of PBF Energy. No fee will be paid in the event the candidate is hired by PBF Energy as a result of the referral or through other means. PBF Energy is an equal opportunity employer. We are committed to creating a diverse, inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, sex, gender, gender identity or expression, sexual orientation, reproductive health decision making, national origin, ancestry, genetic information, physical or mental disability, medical condition, marital status, age, veteran and military status, or any other status protected by applicable law. We are committed to providing reasonable accommodations as required by law. #LI-EG1

QED Systems, LLC, is currently recruiting a Data Analyst to join our team at Aberdeen Proving Ground, MD to support our C5ISR Positioning, Navigation, and Timing (PNT) Division contract. This position is to serve as a Subject Matter Expert (SME) supporting next generation PNT system evaluation, testing and characterization. Duties: Apply statistical analysis to time-series data and generate relevant summary statistics to characterize system performance across test conditions. Supplement quantitative test results with visual analytics to support data-driven decision-making and stakeholder communication. Develop interactive data visualizations (e.g., using MATLAB, Python, JavaScript, HTML, CSS) to present system performance and test results to both technical and non-technical audiences. Collaborate with team members to design data dashboards or reporting tools that enhance visibility into test outcomes and system behavior trends. Debug, improve, and extend data analysis tools to support automated processing, statistical analysis, and visual reporting. Develop and operate QuickLook tools to generate immediate, high-level views of collected data during testing, enabling timely review of system behavior and verify proper data capture configuration. Analyze data related to integrated GPS receiver, Inertial Measurement Unit and other complementary sensors. Analyze data related to position accuracy, position confidence levels, and signal integrity. Conduct tests to evaluate system performance in both benign and Global Positioning System (GPS) threat environments. Operate GPS simulator to evaluate system performance under complex Electronic Warfare (EW) threats. Operate test equipment such as power supply, oscilloscope, spectrum analyzer, frequency counter, etc. for the purpose of evaluating various aspects of system performance. Support local testing activities in the PNT lab, APG and local areas, including setting up equipment (units under test and test equipment), troubleshooting, ensuring proper equipment configuration for data collection, and data analysis. Support field test events as required by PM PNT. Support in the field includes setting up equipment (units under test and test equipment), troubleshooting, ensuring proper equipment configuration for data collection, and data analysis. Write technical reports on findings. Brief results to external stakeholders and answer questions. Ability to defend results with technical analysis of test data. Assist in defining and documenting system requirements for current and future systems. Required Skills & Experience: Proficiency in SQL, Excel, and potentially statistical programming languages, preferred. Proficiency in MATLAB (required) and python (preferred). Ability to interpret data, identify patterns, and draw conclusions. Ability to clearly communicate findings to both technical and non-technical audiences. Ability to use data analysis to identify and solve business problems. Detail-oriented with technical, verbal, and written communication skills. Required Clearance: ACTIVE CLEARANCE LEVEL REQUIRED: Secret Qualifications: BS in Engineering or a related scientific/technical discipline required. Minimum of five (5) years of related experience required. Travel: Up to 25% travel is expected for this position. Work Environment: This position may be performed in a variety of locations, including but not limited to, commercial and/or government offices, test and integration labs, government facilities and depots, and test & evaluation and proving grounds. Physical Demands: Physical demands of this position include ability to: Be independently mobile. Communicate effectively with co-workers and customers. Withstand prolonged periods of sitting at a desk and computer use. Climb stairs, ramps, ladders, and work stands. Wear proper Personal Protective Equipment (PPE) such as glasses/goggles (eyes), ear plugs/muffs (hearing), hard hats, and breathing respirators/masks. Lift/push/pull objects weighing in excess of 20 pounds. Withstand exposure to noise from operating equipment. Reasonable accommodation will be provided to enable individuals with disabilities to perform the essential functions. Position Type/Expected Hours of Work: This is a full‐time position, Monday through Friday. Flexibility around core hours. Travel may occur outside of normal core hours. Additional Information: Please note this job description is not intended to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Actual assigned tasking will change with or without notice to best support client requirements. Total Compensation: QED offers a competitive compensation package for full-time employees. Our total compensation package is value-based and negotiable depending upon the candidate's specific skills and applicable relevant experience. Benefits include: Paid Time Off (PTO) 11 Paid Holidays 401(k) Matching Medical, Dental & Vision Benefits Life Insurance, AD&D, and Short-Term & Long-Term Disability Professional Growth Opportunities Additional Benefits Estimated Salary Range: $105,000.00 - $127,000.00, annually. This is not a guarantee of compensation or salary. This represents the typical range for fully qualified candidates for this position based on experience, geographic location, and other factors. The final offer amount may vary QED Systems, LLC is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. QED Systems, LLC is an Equal Employment Opportunity and Affirmative Action Employer - Minority/Disabled/Veteran/Female

A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: The Red Alpha Data Science Internship (summer of 2025) is a thorough and pointed experience doing real-time, meaningful data science work. Throughout your time at Red Alpha, you will take on tough problems, get executive exposure, engage in out-of-the-box solutions development, and participate in technical challenges. There are no gophers here. You will be treated as a professional peer, because you are one! Red Alpha invests heavily in the training, education, and professional mentorship of our interns. Each intern is paired with a mentor during their time with RED ALPHA to ensure they are engaged and immersed in work and experiences that will help them to grow professionally and broaden their technical tool set. From technology to business, we are looking for people who can innovate, collaborate and drive Red Alpha into the next era of an already rapidly-evolving digital marketplace. **You must be willing to live and work full-time in the Columbia, MD area for the duration of the internship** Work Hard, Play Hard, Succeed Together! That's Red Alpha. Join Us! What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. As a Data Science Intern, you will need the following skills: You must be enrolled in an undergraduate or graduate degree program and majoring in Computer Science, Data Science, Computer Systems or a related technical discipline at an accredited higher learning institution. Experience with Python, Java, C++, R, and/or other related programming languages is required. Due to the nature of our work, customers we support and the requirements surrounding our office space, a TS/SCI with Polygraph clearance is required. The total package: Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Full-time members are eligible for our full benefits package, whereas part-time or seasonal members may receive a limited benefits package. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $30 - $35/hr Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:

Collabera Inc (Staffing Firm). We are based out of Morristown, NJ and we have been providing contingent labor to our clients for last 25 years. In 2015 we placed more than 6,000 contractors across select 100+ clients that we service. End client for this project is a large legal organization with operations in more than 100 countries and has more than 50,000 employees around the world. For eight consecutive years, Fortune has named this company as World's ‘Most Admired Companies to work for'. Job Description Execute data profiling and data quality testing and reporting tasks as assigned Help execute the firm wide data vision and strategy as pertains to all Data Profiling, and Data Quality Testing and Measurement capabilities Establish best practice, standards, policies and procedures to utilize data profiling and data quality tools to proactively identify data quality issues Provide guidance and assistance to technologists to help develop requirements, Data Quality rules and scorecards. Provide guidance to Data Stewards and Data Analysts to utilize Data Quality tools in in the adoption of data quality standards, policies and procedures Work with DQ Issues groups and LOB stakeholders to define best practices for DQ Profiling and Measurement. High quality focus on ensuring Data Profiling, Testing and Measurement standards are coherent, accurate and timely at all time Strong partnership with CDO, LOB and Technology support groups to ensure a high quality product and operating environment In time,help develop a FW DQ “Lab” to advise help smaller teams come on board and utilize Firmwide Data Quality Testing & Profiling capabilities Qualifications Qualifications Bachelor degree or equivalent work experience (3-5 yrs) 1 - 3 years experience in a Data Governance organization 3 - 5 years Project management experience Prior Experience working with Data Quality Profiling, Execution and Measurement is highly desirable Excellent prioritization, planning, organization and time management skills Proven ability to work across diverse groups, build consensus and execute the agreed plans Excellent communication skills, both written and oral Ability to structure communication to various different levels (e.g. seniority) and types (e.g. Technology, Operations, Finance) of audience Able to influence diverse stakeholder groups Ability to quickly understand a complex matrix of systems across the infrastructure and their interdependencies and relationships Ability to adapt to opportunities presented through change Excellent interpersonal skills, comfortable at interacting with and communicating to all levels of Management Quick learner both technical knowledge and systems Must be detail oriented, highly responsible and able to work with tight deadlines Preferred experience: Prior Experience working with Data Quality Profiling, Execution and Measurement tools like Informatica Data Quality (IDQ) or Ab Initio Data Quality Environment (DQE) is highly desirable Prior Experience in Finance, Accounting or Finance Operations is desirable Project management, Application Development, Information Architecture, and MS Excel/VBA experience is a plus Must be able to coach, provide feedback and guide others Must be detail oriented, highly responsible and able to work with tight deadlines Additional Information Dianne Narvaez ************

Search for folks with 3-5 year experience with Good Excel skills - Pivot Tables etc. · License management · Inventory management · Tracking · Some exposure to Market data and IB is a huge plus · Must be Local - DE, PA, NJ and nearby Additional Information Send me your resumes at vince@alphait. us Pozdrawiam / With best regards, Alpha Technologies Inc (USA) Vince Taylor Sr Technical Recruitment Specialist

DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work entity within DPR. The Self Perform Work (SPW) division of DPR directly hires and manages craft workforces to perform certain scopes of work. These scopes of work include Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. This role will be the primary data analyst, supporting our SPW division. As such, you will be responsible for engaging with stakeholders throughout our SPW group, including front-line field supervisors, craft foreman, project managers, project executives, and corporate leadership. This role is responsible for working closely with cross-functional teams, building relationships, identifying pain points, creating and driving data strategies, and delivering actionable insights. This role is part of the Data Analytics (DA) team and will ensure DPR is moving towards data-driven decisions based on insights derived from integrated business processes, systems, and analytics. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery * Be a collaborative partner with both our direct SPW business partners, as well as the many other parts of the business that SPW touches, to align DA efforts with business objectives and goals * Create, maintain, and execute on the data analytics roadmap for SPW in alignment with overall goals and objectives * Drive conversations with stakeholders to fully understand and document pain points. Drive strategic conversations focusing on successful outcomes and actions they are trying to drive * Develop and maintain relationships with business stakeholders and a deep understanding of their processes, tools, and goals. * Apply your own knowledge of construction management and self-perform work to provide guidance and leadership on the development of data driven insights with our SPW business leaders, and front-line managers. * Be a proactive leader in the development and implementation of solutions to current pain points. Listen to a variety of voices and comments, and develop best-in-class long-term solutions, not just quick fixes. Visualization / Storytelling: * Work with stakeholders to understand and align on business requirements * Create and maintain dashboards and Apps, as required * Deliver actionable insights to improve business processes and drive strategic conversations * Track and monitor usage metrics to understand and measure adoption/impact of analytics * Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: * Identify root source of data integrity issues (report, DFL, data warehouse, source system) * Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: * Create complex data models in visualization tools, and make transformations as needed * Query Data Warehouse using SQL to quickly analyze datasets * Clean data, as required * Identify potential new datasets to add to the Data Warehouse * Identify potential new integrations between source systems and the Data Warehouse * Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation * Work with Data Engineering in the development and maintenance of the data catalog * Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance * Follow, implement, and enhance data security and governance guidelines * Create, maintain, and implement security for DFLs * Review requests and grant access to DFLs, Reports, and Apps, as needed * Create and maintain RLS in visualization tool, where needed * Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management * Complete impact analysis on reports when changes are made to source systems or tables upstream * Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization * Identify opportunities for data collaboration and integration between disciplines * Coordinate alignment, as applicable, across other T&I groups * Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery * Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing * Participate in Integrated Workgroup meetings to align support functions Training / Data Literacy * Train end-users on how to use and interpret information/insights on deployed dashboards/reports * Train end-users on how to build reports themselves * Provide "on-the-job' training to business stakeholders when needed * Work with Data Engineering and others to develop and maintain tool for Self Service Analytics * Increase data literacy of business stakeholders through targeted trainings and conversations * Identify opportunities to improve data literacy throughout DPR Data SME * Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology * Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users * Ensure source of truth system(s) are identified and operational Qualifications * Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus five (5) years of experience. * Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes, is strongly preferred. * Experience with self-perform teams, including running or managing a craft workforce, is strongly preferred. * Experience with construction project controls, including Earned Value Management, productivity management, schedule management, and cost management, is strongly preferred. * Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. * Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. * Proven analytic skills, including data mining, evaluation, analysis, and visualization. * Ability to create data models and understand dependencies between source systems. * Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. * Experience with consuming APIs from the client side including REST and GraphQL. * Experience with SQL scripting required. * Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. * Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. * Demonstrated success in building trusted relationships with internal/external clients and customers. * A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. Applicants: In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Salary is just one component of DPR's total compensation package. Pay Ranges based on DPR Office Locations: Phoenix, Tucson-AZ; Atlanta, GA; North Carolina; Greenville, SC; Florida; Nashville, TN, Richmond, VA : $100,332-$143,332 Sacramento, CA; San Diego, CA; Texas; Colorado; Wyoming, New Jersey; Philadelphia, PA: $110,336-$189,198 Seattle, WA; Boston, MA; DMV; SoCal: $120,399-$206,398 Bay Area, CA; Santa Clara, CA; NYC; Fremont, CA: $130,432- $223,598 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 ********************

Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms

Implify, Inc is a Global IT Solutions and services firm. Since it's inception, Implify, Inc has been providing best-quality and cost-effective IT solutions to fortune 1000 companies, mid-range companies and upcoming companies via its onsite, Offshore and in-house service models. IMPLIFY is an IT consulting services and software development firm dedicated to business success through long-term relationships with our clients and staff. IMPLIFY has built a dynamic, profitable, service-oriented enterprise, and is positioned to successfully respond to trends and changes in the information technology industry. Job Description Position: 1 Job Title: Analytics - Principal Consultant 100% Travel Duration : Full Time Permanent Qualifications Basic - 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 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Must Have Skill/Competency: •Domain - Retail and/or CPG domain Knowledge •Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales and Operation, Procurement •Analytics Knowledge - Clustering, Segmentation, Campaign Analytics, Loyalty Management, Forecasting •Data Understanding of Sales, Inventory, Store, Product and Promotion Data •Ability to translate business requirement to analytical model •Communicate directly with business users •Technical Skills -SQL, Advanced Excel, R/SASHadoop, Spark, Python Tableau/Spotfire/Qlikview Nice to have Skill/Competency: •Hadoop, Spark, Python •Tableau/Spotfire/Qlikview •Nielsen/IRI/Market Research Data understanding Job responsibilities: •Understand business requirement from client and translate it to appropriate Analytics use cases •Work in a team environment to deliver analytics solution to client •Define new business metrics as required and build measurement systems as needed •Enjoy designing, develop and deploy state of the art, data-driven predictive models •Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, •Advise clients & internal teams on the right analytics algorithm, platforms and approaches to take in addressing complex, open-ended business problems. Position: 2 Job Title: Analytics - Data Scientist - Architect 100% Travel Duration : Full Time Permanent Skillset: Analytics , Domain: Business Intelligence Qualifications Basic - 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 7 years of experience with Information Technology OR Business Intelligence/Analytics consulting. Qualifications Preferred • MS or PhD in a quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics • 7+ years applied experience devising, deploying and servicing statistical and machine learning models on massive datasets; extensive experience in wrangling data from its raw forms to a state suitable for application of advanced algorithms • Fluent in using R, SAS, Matlab, Python or equivalent statistical analysis software • Knowledge of Perl, Python or Ruby; experience with Java, C or C++ • Experience with Apache Spark and Scala • Knowledge of Clojure or Julia for statistical learning and optimization algorithms • Hands-on experience with NoSQL techniques such as MongoDB, Neo4j etc. • Deep background in at least one of the following: Statistical learning, Machine learning, Stochastic simulation, Natural Language Processing, Numerical Optimization, Agent-based modeling, Parallel programming, Computational Economics, High-Performance Computing Job responsibilities • Enjoy designing, develop and deploy state of the art, data-driven predictive models; adept in quick starting optimization options to solve business problems using latest technologies in data mining, statistical modeling, pattern recognition, and optimization across the chosen industry and functional area WITHIN the guidelines, policies and norms of Infosys. Build mathematical models to analyze and derive practical insight from large volumes of data • Define new business metrics as required and build measurement systems as needed • Advise clients & internal teams on the right technology environment, analytic platforms and approaches to take in addressing complex, open-ended business problems. • Own the development of at least one IP asset (analytic point solutions / prototypes / products) that meet such opportunities • The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements. Additional Information All your information will be kept confidential according to EEO guidelines.

About Us: At RELI Group, our work is grounded in purpose. We partner with government agencies to solve complex challenges, improve public health, strengthen national security, and make government services more effective and efficient. Our team of over 500 professionals brings deep expertise and a shared commitment to delivering meaningful outcomes. Behind every solution is a group of experts who care deeply about impact-whether we're supporting data-driven decisions, modernizing systems or safeguarding critical programs. Position Summary: The AI Strategy & Research Intern will assist in researching emerging AI solutions, creating frameworks and methodologies, developing learning paths, and connecting ideas across multiple initiatives. This role is ideal for someone who is intellectually curious, organized, and eager to learn. The intern will work independently and collaboratively to advance projects, communicate findings, and support strategic planning efforts. Responsibilities: Conduct research and support proofs of concept on AI tools, trends, and use cases relevant to RELI and our customers Use AI tools to accelerate tasks such as research synthesis, content generation, and data analysis Support the creation of frameworks and methodologies for AI adoption and governance Draft clear, concise summaries, reports, and presentations for internal and external audiences Assist in developing and refining AI learning paths and training materials Qualifications Actively pursuing or recently completed a degree in a related field (e.g., data science, computer science, public policy, business, or communications), or equivalent experience Strong written and verbal communication skills Familiarity with AI tools (e.g., ChatGPT, Claude, Perplexity, etc.) and how they can be used to improve productivity Interest in AI strategy, data governance, and user-centered design Customer/end-user orientation and a collaborative mindset *Only hiring HUBZone eligible candidates. Please check your eligibility on HUBZone Map (sba.gov). EEO Employer: RELI Group is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation. HUBZone: We encourage all candidates who live in a HUBZone to apply. You can check to see if you address is located in a HUBZone by accessing the SBA HUBZone Map. The hourly rate for this position is $15.00 per hour. Actual compensation will depend on a range of factors, including but not limited to the individual's skills, experience, qualifications, certifications, location, other business and organizational needs, and applicable employment laws. The estimate displayed represents the typical salary range for this position and is just one component of the total compensation package for employees. RELI Group provides a variety of additional benefits to its employees. For additional details on the benefits that RELI Group offers click here.

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

Must Have Technical/Functional Skills Primary: Artificial intelligence, ML, LLM Secondary: Data science, Python, NLP, Agile tools Experience: 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- $120,000-$135,000 a year

Join us to shape the future of data strategy and governance. As part of our team, you'll drive impactful data initiatives, support career growth, and collaborate with experts to deliver innovative solutions. As a Data Scientist Associate in the PXT (People Experience & Technology) Data Strategy team, you will develop and maintain data architecture, standardized definitions, and comprehensive metadata. You will help ensure data quality, integrity, and compliance, supporting integration and migration efforts. You'll work closely with business and technical partners, fostering a collaborative and inclusive team culture. You will act as a subject matter expert for assigned data domains, document data lineage, and support the industrialization of data processes. Your work will enable data discoverability, understanding, and governance across the organization. Job Responsibilities Develop and maintain standardized data definitions and comprehensive metadata for assigned data sources Analyze data sets to identify quality issues and implement effective cleansing strategies Create and document detailed data lineage, ensuring traceability between data fields and sources Build and maintain high-quality metadata to enable data discoverability, understanding, and governance Support data integration and migration efforts as part of the industrialization process Ensure data quality, integrity, and compliance with governance policies within assigned domains Act as subject matter expert for assigned data domains Required Qualifications, Capabilities, and Skills Three years in data management, data engineering, data scientist or related roles Strong analytical, data profiling, and problem-solving skills; able to identify and resolve data quality issues Proven ability to create, document, and maintain high-quality metadata and data lineage for complex data sets Technically proficient in data management tools, data governance, quality assurance, lifecycle management, and data integration Experience with data security, privacy regulations, and data-driven decision-making Excellent communication and documentation skills; able to translate complex data insights into actionable recommendations and clear reports Collaborative team player with experience working across business and technical stakeholders Strategic thinking and adaptability; able to align data initiatives with business goals and adjust to changing priorities Experience driving process improvements and optimizing data workflows Preferred Qualifications, Capabilities, and Skills Experience with advanced data visualization platforms Experience in financial services or similar regulated industries Experience with data cataloging and data discoverability platforms

Job Description Applied Data Scientist Internship (DoD SkillBridge) The DOD SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DOD SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DOD SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: ************************************* Eligibility Requirements: Meet all DoD SkillBridge qualifications set forth in DODI 1322.29 Served at least 180 days on active duty Within 180 days of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship Duration: 90-180 days Requirements: Active TS/SCI clearance/polygraph required Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data modeling and assessment Artificial intelligence Software engineering Experience constructing and performing complex database search queries Experience/knowledge of computer science concepts Desired Skills: Ideal Candidates would be from one of the following Military Occupational Skill Communities: Air Force - (1N4) Marine - (2611, 2629) Army - (35N, 352N, 17C, 170A) Navy CTR (C18A/9147, C19A/9149) CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A) Experience or familiarity with data analytics and/or the following advanced scripting languages and tools: Python, SQL Jupyter Pig ELK Stack Splunk PowerBI Jupyter Notebooks _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR syn Y3toJUH

Search for folks with 3-5 year experience with Good Excel skills - Pivot Tables etc. · License management · Inventory management · Tracking · Some exposure to Market data and IB is a huge plus · Must be Local - DE, PA, NJ and nearby Additional Information Send me your resumes at vince@alphait. us Pozdrawiam / With best regards, Alpha Technologies Inc (USA) Vince Taylor Sr Technical Recruitment Specialist

Join a dynamic team dedicated to enhancing customer experiences through advanced analytics and innovative strategies. As part of our Data & Analytics organization, you'll collaborate across functions and channels to deliver impactful solutions and drive career growth. As a Data Scientist Vice President in Customer Loyalty Analytics team within the Data & Analytics organization, you will partner with Customer Experience and Strategic teams to deliver insights and develop strategies that improve customer journeys. You will be involved in all phases of the analytics lifecycle, from data development to presenting findings, and play a key role in shaping the customer experience. You will leverage advanced analytics techniques and a variety of analytical applications to uncover trends and opportunities. Your work will support business decisioning, optimize performance, and foster a collaborative, high-impact team culture. Job Responsibilities Lead partnerships with Customer Experience Groups to advise on strategies and deliver analysis for decisioning and prioritization. Facilitate identification of KPIs, trend analysis, and segmentation to improve business performance. Utilize advanced analytics techniques, including machine learning and predictive modeling, to identify trends and opportunities. Stay updated on AI, Machine Learning, Large Language Models, and Generative AI research trends to enhance analytical capabilities and streamline processes. Leverage analytical applications such as SQL, Alteryx, Python, Tableau, and Adobe Analytics to analyze complex data sets. Prepare and deliver presentations with compelling data narratives and insights for executives and business reviews. Collaborate with data management, strategy, and analytics teams to optimize insights and share best practices. Provide mentorship and oversight for junior data analysts to build a more impactful working culture. Required Qualifications, Capabilities, and Skills Five years of related experience. Bachelor's degree in a quantitative or related field. Technical knowledge of data management, governance, big data platforms, and data architecture. Proficiency in AI, Machine Learning, Large Language Models, and Generative AI. Structured thinker and effective communicator with excellent written communication skills. Ability to present fact-based recommendations in a clear, logical, and concise way. Superior written and oral communication skills; ability to communicate with all levels of management and partners. Proactive, results-driven, with a proven track record of execution. Demonstrated people management and team-building skills. Preferred Qualifications, Capabilities, and Skills Master's degree and/or PhD in a relevant field. Experience with advanced analytics applications such as SQL, Alteryx, Python, Tableau, and Adobe Analytics. Experience in customer experience analytics or related fields. Experience mentoring and developing junior analysts.

Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs Bridge scientific research and software engineering, applying expertise in both domains Collaborate with engineering teams to lead the design and delivery of GenAI products Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications Integrate GenAI solutions with enterprise platforms using API-based methods Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Align ML problem definition with business objectives Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics Ten years of experience in an individual contributor role in ML engineering Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Experience integrating GenAI solutions with enterprise platforms via standardized API patterns Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails Excellent grasp of computer science fundamentals and SDLC best practices Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed *** Relocation assistance is not available for this role.

The DOD SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DOD SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DOD SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: ************************************* Eligibility Requirements: Meet all DoD SkillBridge qualifications set forth in DODI 1322.29 Served at least 180 days on active duty Within 180 days of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship Duration: 90-180 days Requirements: Active TS/SCI clearance/polygraph required Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data Experience within at least two (2) of the following skill areas: Mathematics/Statistics Computer Science Scripting Cloud Computing Data Mining, Metadata Analysis or Machine Learning Artificial Intelligence Data Visualization or Data Automation. Data science Advanced analytical algorithms Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data modeling and assessment Artificial intelligence Software engineering Experience constructing and performing complex database search queries Experience/knowledge of computer science concepts Desired Skills: Ideal Candidates would be from one of the following Military Occupational Skill Communities: Air Force - (1N4) Marine - (2611, 2629) Army - (35N, 352N, 17C, 170A) Navy CTR (C18A/9147, C19A/9149) CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A) Experience or familiarity with data analytics and/or the following advanced scripting languages and tools: Python, SQL Jupyter Pig ELK Stack Splunk PowerBI Jupyter Notebooks _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.