Data science internship jobs in Longview, TX

6+ month contract Downtown Dallas, TX (Onsite) Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills. Responsibilities Investigate and Analyze data anomalies and data issues reported by Business Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly Work with support teams to ensure consistent and proactive support methodologies are adhered to for all aspects of data movements and data transformations Assist in break fix and production validation as it relates to data derivations, replication and structures Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage Gather information from various Sources and interpret Patterns and Trends Ability to work in a team-oriented, fast-paced agile environment managing multiple priorities Qualifications 4+ years of experience working in OLTP, Data Warehouse and Big Data databases 4+ years of experience working with Oracle Exadata 4+ years in a Data Analyst role 2+ years writing medium to complex stored procedures a plus Ability to collaborate effectively and work as part of a team Extensive background in writing complex queries Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking Denodo Experience a plus Master Data Management a plus Big Data Experience a plus (Hadoop, MongoDB) Postgres and Cloud Experience a plus Estimated Min Rate: $57.40 Estimated Max Rate: $82.00 What's In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week) Health Savings Account (HSA) (for employees working 20+ hours per week) Life & Disability Insurance (for employees working 20+ hours per week) MetLife Voluntary Benefits Employee Assistance Program (EAP) 401K Retirement Savings Plan Direct Deposit & weekly epayroll Referral Bonus Programs Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************

Welcome to Mastech Digital, a leading digital first company that empowers global corporations through innovative digital transformation services. Mastech Digital (NYSE American: MHH) is a leading provider of Digital Transformation services with Data driven Innovation. We offer Technical staffing services, H1B sponsorship, Day 1 green card filings with our pre-approved groups. I appreciate your time and effort to consider Mastech Digital as a valuable employer for you to present your candidature at the client's end. About Mastech Digital Inc : ******************************* Job Title: Senior Data Analyst - Digital AI Location: Irving, TX (Onsite) Job type: W2 Contract with Mastech Digital (No C2C/No CTH/No 1099) Basic Qualifications: Strong knowledge of statistical techniques and advanced mathematics. 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred). 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing. 4+ years of experience in manipulating big data using Python, PySpark, or SQL. Expert Experience with data visualization tools in Python, PowerBI, etc. Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Preferred Qualifications: Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience Experience working with Machine Learning models - evaluation, observability, and performance monitoring. Experience working closely with a business team to determine primary KPIs on an ambiguous problem. Madhuri N. she/her Recruiter ********************************** ************************************************ **********************

Support discovery of business problems Analyze and interpret new sources of data Perform ad-hoc and reoccurring investigations and analyses Work with cross functional teams to generate seamless business intelligence solutions for business partners Present results of analyses to business units Prepare documentation and analysis for integration testing, audits and exams Excellent communication skills, both written and verbal. Ability to facilitate meetings, collect minutes, gather action items, and drive tasks to completion. Summary: Client is seeking a highly skilled data analyst with a passion for collaborating closely with cross-functional and cross-organizational teams. This role requires a comprehensive understanding of client processes and business requirements. The analyst will be responsible for documenting and comprehending business needs, conducting in-depth analytical investigations, and tracking and developing reporting metrics utilizing Python, SQL, or other Big Data tools. Furthermore, the analyst will be expected to communicate insights to stakeholders and key decision-makers. This position will work with colleagues from a diverse set of product and engineering partners to design and build innovative reporting products that exceed industry standards and provide client partners with clear, accurate, and actionable insights. Minimum Qualifications: BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) At least 5 to 6 years' experience working as a Business Data Analyst or related role Competent with SQL and working with Big Data Tools Programming skills in Python Proficient in MS Excel Experience applying analytical techniques to provide solutions to real business problems Preferred Qualifications: Assist in all stages of implementation (requirements, test scripts, UAT, production release). Creating SQL/Python scripts to generate actionable data insights based on Business Requirements. Work with business groups during UAT to address questions and solve issues Strong interpersonal skills with ability to connect and develop strong partnerships Strong verbal / written communication skills Creativity to go beyond current tools to deliver best solution to the problem Inquisitiveness and a desire for continued self-improvement and development of new skills Comfort working independently and making key decisions on projects Ability to tell meaningful and accurate stories with data, analysis Note: Schedule Notes: Hybrid Schedule in Texas 3- round interviews Creating SQL/Python scripts to generate actionable data based on Business requirements. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ***************** At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $50 - $55 The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at ***************. To report any concerns, please email us at *******************

Job Title: Data Coordinator Type: Full Time Our client is looking for a Data Coordinator to support initiatives that enhance efficiency and deliver actionable insights. What You'll Do: Collect, organize, and maintain accurate data for process improvement projects. Define scope, track progress, and prepare reports on active initiatives. Assist with training and coaching teams on data-driven decision-making. Provide statistical analysis and create clear, impactful presentations. Collaborate across departments and adapt to changing priorities. What We're Looking For: High school diploma or equivalent (college coursework may substitute for experience). Minimum 1 year of experience in data coordination, training, or supervisory roles (2 years preferred). Strong analytical and organizational skills. Patient, approachable, and passionate about supporting team development.

Key Responsibilities Configure, customize, and support Kinaxis RapidResponse modules (Demand Planning, Supply Planning, Inventory, S&OP). Develop and maintain RapidResponse worksheets, dashboards, and analytic reports. Support data integration with Amazon's internal systems (ERP, transportation, FC systems, vendor tools). Work directly with planners, supply chain managers, and operations teams to understand business requirements. Troubleshoot RapidResponse issues and provide production support. Execute what-if simulations and scenario modeling for supply chain operations. Maintain documentation on configurations, rules, KPIs, and business processes. Basic Qualifications 3-6 years of experience in Supply Chain Planning or related roles. Hands-on experience with Kinaxis RapidResponse (configuration, authoring, analytics). Understanding of supply chain processes (demand planning, supply planning, MRP, S&OP). Strong SQL or data-analysis skills. Experience integrating Kinaxis with ERP systems (SAP/Oracle/etc.). Excellent communication and stakeholder-management skills.

Employment Type: Full-Time Work Authorization: Must possess valid U.S. work authorization Experience Level: 0-5 years Education Requirement: Master's degree in a relevant field About the Role We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will leverage data to support business decision-making, conduct in-depth analyses, and develop insights that drive operational and strategic improvements. This role is suited for early-career professionals with strong quantitative skills and a passion for transforming data into actionable information. Key Responsibilities Collect, clean, and analyze large datasets from multiple sources. Develop dashboards, reports, and visualizations to communicate insights to stakeholders. Apply statistical methods, data modeling, and quantitative analysis to solve business problems. Collaborate with cross-functional teams to define data requirements and analytics needs. Identify trends, patterns, and opportunities for process improvements. Support the development and maintenance of data pipelines and documentation. Ensure accuracy, consistency, and integrity of reported data. Present findings in a clear and concise manner to both technical and non-technical audiences. Required Qualifications Master's degree in Data Science, Statistics, Computer Science, Analytics, Engineering, Business Analytics, or a related field. 0-5 years of experience in a data analyst, business analyst, or relevant quantitative role. Valid U.S. work authorization. Proficiency in SQL and experience with relational databases. Hands-on experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong analytical and problem-solving skills. Experience with Python or R for data analysis. Ability to communicate complex results clearly and effectively. Preferred Qualifications Experience with cloud technologies (AWS, Azure, or GCP). Familiarity with machine learning techniques or predictive modeling. Knowledge of ETL processes and workflow automation tools. Experience working with large-scale datasets or big data platforms. Benefits 401(k) plan with company match Dental and vision insurance Health insurance coverage Joining bonus Generous paid time off and holidays Learning & development opportunities

Cullerton Group has a new opportunity for a Data Scientist 2. The work will be done onsite full-time, with flexibility for candidates located in Illinois (Mossville) or Texas (Dallas) depending on business needs. This is a long-term 12-month position that can lead to permanent employment with our client. Compensation is up to $58.72/hr + full benefits (vision, dental, health insurance, 401k, and holiday pay). Job Summary Cullerton Group is seeking a motivated and analytical Data Scientist to support strategic sourcing and cost management initiatives through advanced data analytics and reporting. This role focuses on developing insights from complex datasets to guide decision-making, improve cost visibility, and support category strategy execution. The ideal candidate will collaborate with cross-functional teams, apply statistical and analytical methods, and contribute independently to analytics-driven projects that deliver measurable business value. Key ResponsibilitiesDevelop and maintain scorecards, dashboards, and reports by consolidating data from multiple enterprise sources Perform data collection, validation, and analysis to support strategic sourcing and cost savings initiatives Apply statistical analysis and modeling techniques to identify trends, risks, and optimization opportunities Support monthly and recurring reporting processes, including cost tracking and performance metrics Collaborate with category teams, strategy leaders, and peers to translate analytics into actionable insights Required QualificationsBachelor's degree in a quantitative field such as Data Science, Statistics, Engineering, Computer Science, Economics, Mathematics, or similar (or Master's degree in lieu of experience) 3-5 years of professional experience performing quantitative analysis (internships accepted) Proficiency with analytics and data visualization tools, including Power BI Strong problem-solving skills with the ability to communicate insights clearly to technical and non-technical audiences Preferred QualificationsExperience with advanced statistical methods (regression, hypothesis testing, ANOVA, statistical process control) Practical exposure to machine learning techniques such as clustering, logistic regression, random forests, or similar models Experience with cloud platforms (AWS, Azure, or Google Cloud) Familiarity with procurement, sourcing, cost management, or manufacturing-related analytics Strong initiative, collaboration skills, and commitment to continuous learning in analytics Why This Role? This position offers the opportunity to work on high-impact analytics projects that directly support sourcing strategy, cost optimization, and operational decision-making. You will collaborate with diverse teams, gain exposure to large-scale enterprise data, and contribute to meaningful initiatives that drive measurable business outcomes. Cullerton Group provides a professional consulting environment with growth potential, strong client partnerships, and long-term career opportunities.

Job Title: Marketing & Merchandise Analyst - C-Shopper **This position is a 9 month contract opportunity that cannot support C2C or any form of sponsorship** The Marketing & Merchandise Analyst will work across various C-Shopper development initiatives, partnering with the C-Shopper team, internal data teams, and Circana/IRI personnel. This role focuses on driving adoption and impact of the C-Shopper Customer Insights platform among internal and external users, delivering actionable insights to improve decision-making and business performance. Key Responsibilities: Platform Development & Adoption Assist in C-Shopper platform enhancements to maximize value for internal and external stakeholders. Act as a subject matter expert (SME) and Customer Success resource for the C-Shopper team. Drive internal adoption of Customer Insights tools across Marketing, Merchandising, Loyalty, Operations, and Finance teams. User Engagement & Training Coordinate and conduct onsite and virtual meetings with internal teams. Deliver training sessions and provide Help Desk support for assigned user groups. Initiate ongoing interactions with user groups to share insights and best practices. Analytics & Insights Delivery Produce analytics projects and presentations to support internal and external business needs. Provide guidance and case studies demonstrating high-value insights for user groups. Partner with user teams to act as the voice of the customer, influencing customer-centric strategies. Customer Success & Support Manage onboarding and ongoing support strategies for internal users. Support external supplier projects with ad hoc analytics and presentations. Define and track metrics for program impact, customer satisfaction, and platform usage. Continuous Improvement Anticipate and remove barriers to project success. Conduct evaluations and gather feedback from user groups to improve adoption. Monitor market and customer trends to enhance user experience and operational excellence. Qualifications: Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Ability to manage multiple projects and collaborate across teams. Familiarity with customer insights platforms and retail analytics preferred.

We are seeking an experienced Lead Manufacturing Engineer (Level 5) to join our Statistical Process Control (SPC) & Data Analytics team. The ideal candidate will be highly skilled in data analytics, Power BI dashboard development, and Power Apps creation to support manufacturing optimization and automation. This role requires strong expertise in data mining, linking datasets in Power BI, and designing analytical tools that enhance decision-making and operational efficiency. Key Responsibilities Lead the creation, development, and deployment of advanced Power BI dashboards to deliver actionable insights. Design, develop, and implement Power Applications to streamline and automate manufacturing workflows. Execute data mining and establish automated data relationships in Power BI to support reporting and process optimization. Utilize Statistical Process Control (SPC) methods for monitoring and improving manufacturing processes. Partner with cross-functional teams to identify data analytics needs and deliver effective solutions. Maintain detailed documentation of analytics tools, processes, and best practices. Mentor junior engineers in data analytics, Power BI, and Power Apps development. Present technical findings to both technical and non-technical stakeholders clearly and effectively. Lead complex projects with minimal supervision. Required Qualifications Bachelor's degree in Mechanical Engineering, Electrical Engineering, Software Engineering, Computer Science, or a related field. Minimum 9 years of experience in Manufacturing Engineering or a related technical area. Proven experience in data analytics and Power BI dashboard development. Expertise in Power Applications design and deployment. Strong skills in data mining and building automated data relationships in Power BI. Extensive experience with SPC methodologies. Excellent analytical, problem-solving, and communication skills. Proficiency with MS Office tools (Excel, PowerPoint, Word). Ability to work independently and lead large-scale, complex projects. Demonstrated experience in mentoring and guiding junior engineers. Desired Qualifications Master's degree in Engineering or Computer Science. Knowledge of Snowflake or other database management systems. Familiarity with Lean Manufacturing and Six Sigma methodologies. Experience with additional analytics tools such as Minitab, JMP, or Inductive Automation platforms.

Role: Applied Data Scientist/ Data Science Engineer Yrs. of experience: 8+ Yrs. Job type : Fulltime Job Responsibilities: You will be part of a team that innovates and collaborates with internal stakeholders to deliver world-class solutions with a customer first mentality. This group is passionate about the data science field and is motivated to find opportunity in, and develop solutions for, evolving challenges. You will: Solve business and customer issues utilizing AI/ML - Mandatory Build prototypes and scalable AI/ML solutions that will be integrated into software products Collaborate with software engineers, business stakeholders and product owners in an Agile environment Have complete ownership of model outcomes and drive continuous improvement Essential Requirements: Strong coding skills in Python and SQL - Mandatory Machine Learning knowledge (Deep learning, Information Retrieval (RAG), GenAI , Classification, Forecasting, Regression, etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders Ability to lead a team of data scientists is a plus Experience with Big Data technologies and/or software development is a plus

W2 Contract Dallas, TX (Onsite) We are seeking an experienced Data Scientist to join our team in Dallas, Texas. The ideal candidate will have a strong foundation in machine learning, data modeling, and statistical analysis, with the ability to transform complex datasets into clear, actionable insights that drive business impact. Key Responsibilities Develop, implement, and optimize machine learning models to support business objectives. Perform exploratory data analysis, feature engineering, and predictive modeling. Translate analytical findings into meaningful recommendations for technical and non-technical stakeholders. Collaborate with cross-functional teams to identify data-driven opportunities and improve decision-making. Build scalable data pipelines and maintain robust analytical workflows. Communicate insights through reports, dashboards, and data visualizations. Qualifications Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Proven experience working with machine learning algorithms and statistical modeling techniques. Proficiency in Python or R, along with hands-on experience using libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow. Strong SQL skills and familiarity with relational or NoSQL databases. Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). Excellent problem-solving, communication, and collaboration skills.

About the job The Data Scientist / Database Architect will serve as a critical architect and analytical engine for our growing insights team, supporting a suite of data-driven initiatives across the organization. This role is not just about building databases - it's about making data actionable. The ideal candidate brings experience from a corporate retail or e-commerce environment and can seamlessly integrate diverse datasets to drive strategic decisions. Located in the Bentonville, AR area, this position is on-site and central to how we structure, analyze, and deliver intelligence to both internal and external stakeholders. Heavy AI and machine learning experience is strongly preferred, and advanced analytical instincts are essential. Key Responsibilities: Data Architecture & Integration Design and maintain a scalable infrastructure that unifies multiple data sources, including POS, syndicated, loyalty, operational, and third-party data, into a coherent and high-performance environment. Build and maintain robust ETL pipelines for ingesting, cleansing, and transforming structured and unstructured data. Ensure the infrastructure supports both daily reporting and deep-dive exploratory analytics. Data Analysis & Modeling Serve as a lead analyst across the organization, translating complex data into actionable insights. Conduct advanced analytics to support strategy, product development, and market research. Develop models and forecasting tools using Python, R, SQL, or other statistical languages. Contribute to AI/ML-based projects for predictive analytics, automation, or consumer segmentation. Dashboarding & Visualization Support Enable data storytelling through the creation and maintenance of dashboards and visualizations. Collaborate with researchers and analysts to ensure clean and consistent data feeds into Forsta, Power BI, and Tableau environments. Help define and enforce data taxonomy and governance to keep systems clean and scalable. Cross-Team Collaboration Act as a key technical liaison between insights, research, design, and executive teams. Troubleshoot data issues and provide technical support to non-technical stakeholders. Contribute to broader organizational initiatives that depend on data structure and access. Qualifications: Minimum 7 years of experience in a retail, e-commerce, or digital product environment working with enterprise-level datasets. Expertise in SQL, cloud-based platforms (AWS, GCP, or Azure), and strong knowledge of data warehousing best practices. Proficiency in Python and/or R for advanced statistical analysis and machine learning. Deep familiarity with dashboarding tools like Power BI, Tableau, and data visualization platforms like Forsta. Strong understanding of data normalization, security, and governance. Experience integrating and analyzing data from disparate systems (POS, loyalty, inventory, etc.). Demonstrated success in producing real-time and strategic insights from complex datasets. Preferred Education: Degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field. Master's degree preferred, but equivalent real-world experience will be considered. Preferred Skills: Experience applying AI/ML to consumer modeling, trend forecasting, or data automation. Ability to act as both architect and analyst - building systems and producing insights. Clear communicator who can explain complex ideas to non-technical teams. Benefits: · Competitive salary · Health, dental, and vision insurance · Paid time off and retirement plan options · Opportunities for professional development and continuing education

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a talented and analytical Data Scientist to join our team. The ideal candidate will leverage advanced data analysis, statistical modeling, and machine learning techniques to drive insights, optimize loan processes, improve risk assessment, and enhance customer experiences in mortgage and lending domains. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX is $110k - $120k/year & benefits (see below). The Role Responsibilities: Analyze large volumes of loan and mortgage data to identify key trends, patterns, and risk factors. Develop and implement predictive models for credit scoring, risk segmentation, loan default prediction, and fraud detection. Collaborate with product teams, underwriters, and risk managers to understand business requirements and translate them into analytical solutions. Build data pipelines and automate data ingestion, cleaning, and processing workflows related to loans and mortgage portfolios. Conduct feature engineering to improve model accuracy and robustness. Monitor model performance over time and recalibrate models as needed based on changing market conditions. Create dashboards and reports to communicate insights and support decision-making processes. Ensure data quality, integrity, and compliance with regulatory standards. Stay updated on industry trends, emerging techniques, and regulatory changes affecting mortgage and lending projects Requirements: Strong knowledge of mortgage products, loan lifecycle, credit risk, and underwriting processes. Experience with Kafka, Hadoop, Hive, or other big data tools. Familiarity with containerization (Docker) and orchestration (Kubernetes). Understanding of data security, privacy, and compliance standards. Knowledge of streaming data processing and real-time analytics. We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRON'S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Duration: 6 month contract-to-hire Compensation: $150K-160K Work schedule: Monday-Friday (8 AM-5PM CST) - onsite 3x per week Benefits: This position is eligible for medical, dental, vision and 401(k) The Head of Data Science & AI leads the organization's data science strategy and team, driving advanced analytics and AI initiatives to deliver business value and innovation. This role sets the strategic direction for data science, ensures alignment with organizational goals, and promotes a data-driven culture. It involves close collaboration with business and technology teams to identify opportunities for leveraging machine learning and AI to improve operations and customer experiences. Key Responsibilities Develop and execute a data science strategy and roadmap aligned with business objectives. Build and lead the data science team, providing mentorship and fostering growth. Partner with business leaders to identify challenges and deliver actionable insights. Oversee design and deployment of predictive models, algorithms, and analytical frameworks. Ensure data integrity, governance, and security in collaboration with engineering teams. Communicate complex insights to non-technical stakeholders. Manage infrastructure, tools, and budget for data science initiatives. Drive experimentation with emerging AI technologies and ensure ethical AI practices. Oversee full AI model lifecycle: development, deployment, monitoring, and compliance. Qualifications 8+ years in data science/analytics with leadership experience. Expertise in Python, R, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-Learn). Experience deploying ML models and monitoring performance. Familiarity with visualization tools (Tableau, Power BI). Strong knowledge of data governance, advanced statistical methods, and AI trends. Skills in project management tools (MS Project, JIRA) and software development best practices (CI/CD, Git, Agile). Please apply directly to be considered.

Motion recruitment has partnered with a retail ecommerce client and is seeking a Data Analyst specialized in Machine Learning and Artificial Intelligence. About the Role This role involves working closely with data to support the Machine Learning pipeline, requiring a strong foundation in statistical techniques and data analysis. Location: Onsite Duration: 12 months with possible extension Type: W-2 Contract Only - C2C, third-party, or sponsorship arrangements are not supported at this time. Interview: Onsite Local candidates are encouraged to apply as the job requires an onsite interview. Responsibilities Research, prototype, and build analysis and visualizations for our Machine Learning pipeline. Stay up to date with emerging technology and learn new technologies/libraries/frameworks. Learn and partner with peers across multiple disciplines, such as computer vision, machine learning, and systems design. Deliver on time with a high bar on quality of research, innovation, and engineering. Required Skills Strong knowledge of statistical techniques and advanced mathematics. 3+ years of data analyst/engineering/science within the Databricks ecosystem (Azure preferred). 5+ years of experience demonstrating the use of statistical techniques to analyze, segment and visualize data - specifically around experimental design, KPI calculation, and A/B testing. 4+ years of experience in manipulating big data using Python, PySpark, or SQL. Expert experience with data visualization tools in Python, PowerBI, etc. Preferred Skills Master's Degree or higher in Computer Science/Engineering/Math, or relevant experience. Experience working with Machine Learning models - evaluation, observability, and performance monitoring. Experience working closely with a business team to determine primary KPIs on an ambiguous problem. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices.

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** You will collaborate across Customer Experience, Sales, Marketing, Operations, Engineering, and IT to build and operationalize advanced analytics, machine learning models, and intelligent automation solutions. In this highly technical role, you will help drive Cisco's transformation into a data-driven digital organization by developing scalable data products, predictive models, and automated insights pipelines. Digital Lifecycle Journey's (DLJ) digital expertise positions us at the forefront of addressing the evolving expectations of today's connected customers, partners, and Cisco sellers. By leveraging real-time connected data, machine learning, and advanced automation, our team enables personalized, proactive customer engagement across the entire lifecycle. DLJ is focused on delivering immersive digital experiences that increase recurring revenue, optimize cost, and improve sales effectiveness for Cisco and its partners. **Your Impact** You are a technically strong analyst/engineer with experience in AI/ML, data engineering fundamentals, and analytics. You combine a deep understanding of data modeling, statistical methods, and programming with the ability to translate insights into actionable business outcomes. You know how to build robust ETL pipelines, design features for machine learning models, and create intuitive, insight-driven dashboards. You thrive in fast-paced, collaborative environments where you work closely with data scientists, engineers, product teams, and business leaders.Identify, analyze, and interpret trends or patterns in sophisticated data sets using statistical technique and provide ongoing reports and dashboards. + Build, test, and deploy predictive models and machine learning pipelines to support customer lifecycle analytics and digital engagement at scale. + Transform complex, large-scale datasets through Python, SQL, and distributed computing tools to develop high-quality datasets and features for analytics and ML. + Develop automated dashboards, visualizations, and analytics apps using Power BI to deliver real-time insights to partners and leadership. + Identify, analyze, and interpret trends and patterns using advanced statistical, machine learning, and data-mining techniques; communicate insights with clarity. + Collaborate closely with business and engineering teams to translate persona-specific use cases into scalable solutions, consolidating requirements and delivering cross-functional data products. + Partner with data engineers and architects to design data pipelines, integrate new data sources, and validate data quality, completeness, and performance. + Implement and maintain data privacy, security, and governance processes within analytics and ML workflows. + Evaluate emerging tools, technologies, and methodologies in AI/ML and analytics; continuously improve our technical capabilities. **Minimum Qualifications** + Currently enrolled in a certification program (e.g., Boot Camp, Apprenticeship, Community College with 0 years of relevant experience) or currently enrolled in an undergraduate degree program. Relevant fields include: Business, Supply Chain, Communications, Mathematics, Finance, Industrial Engineering, Statistics, or a related program or other academic certification. + Proficient in Python and its data science libraries (pandas, NumPy, scikit-learn), as well as R, with strong skills in statistical analysis, machine learning fundamentals, and data visualization. + Skilled in SQL for data transformation, modeling, and large-scale querying, with technical knowledge of data models, database design, data mining, and segmentation techniques. + Experienced in building dashboards and analytics solutions in Power BI (or similar BI tools), transforming complex data into clear, actionable insights. + Hands-on experience with data manipulation and ETL tools, including SQL and big-data technologies like Hadoop, along with familiarity with reporting and statistical packages such as Excel, SPSS, SAS, and Business Objects. + Able to legally live and work in the country for which you are applying, without visa support or sponsorship. **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: $44,000.00 - $185,000.00 Non-Metro New York state & Washington state: $44,000.00 - $185,000.00 * 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. Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

WHO WE ARE Apex Fintech Solutions (AFS) powers innovation and the future of digital wealth management by processing millions of transactions daily, to simplify, automate, and facilitate access to financial markets for all. Our robust suite of fintech solutions enables us to support clients such as Stash, Betterment, SoFi, and Webull, and more than 20 million of our clients' customers. Collectively, AFS creates an environment in which companies with the biggest ideas in fintech are empowered to change the world. As a global organization, we have offices in Austin, Dallas, Chicago, New York, Portland, Belfast, and Manila. If you are seeking a fast-paced and entrepreneurial environment where you'll have the opportunity to make an immediate impact, and you have the guts to change everything, this is the place for you. AFS has received a number of prestigious industry awards, including: * 2021, 2020, 2019, and 2018 Best Wealth Management Company - presented by Fintech Breakthrough Awards * 2021 Most Innovative Companies - presented by Fast Company * 2021 Best API & Best Trading Technology - presented by Global Fintech Awards ABOUT THIS ROLE We are seeking a highly motivated Data Strategy Intern to join our team. This intern will play an integral role in supporting our efforts to refine workflows, analyze data, and help teams execute efficiently. This role combines elements of strategy development, data analysis, and client implementation support-offering you hands-on experience in executing projects at scale. To be considered, you must be able to commit to a 10-week hybrid internship and work 40 hours per week during our summer program Key Responsibilities: * Data Analysis and Research: Conduct analysis and research on industry trends, prospects, clients, and competitors * Project Management: Support revenue operations projects and manage initiatives that track client revenues & cost allocations, streamline vendor process management, and identify revenue or cost-saving opportunities * Process Documentation: Work with stakeholders to collaborate across Product, Business, and Customer Service to develop internal and client-facing policies * Process Creation, Optimization, and Automation: Create efficiency-oriented processes to streamline operations * Collaboration: Work closely and cross-functionally with members of Sales, Marketing, Finance, Operations, Relationship Management and Solutions teams Education and Experience: * Currently pursuing or recently completed a degree in Business Administration, Math, Stats, Econ, Data Analytics, MIS, Information Technology, or a related field. * Senior standing, May 2027 graduate * Strong analytical skills and attention to detail, with experience in data analysis. * Familiarity with SQL. * Basic understanding of platform services and metrics creation is a plus. * Strong knowledge of Microsoft Excel, Word, and PowerPoint * Ability to think strategically and solve problems * Strong track record of independent work and leadership ability * An analytical mind, willing to continually roll up your sleeves and dig deeper into everything put in front of you * Excellent informal and formal written, verbal, and presentation communication skills * Ability to manage multiple tasks and prioritize effectively in a fast-paced environment. * General interest in Fintech. Preferred Skills: * Experience with Claude Agentic AI * System Design * Data Base Structure Work Environment: * This internship operates in an office environment. * This internship operates on a hybrid schedule in Austin, TX or Dallas, TX Salary: * $25 per hour. #LI-DNI Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Our Rewards We offer a robust package of employee perks and benefits, including healthcare benefits (medical, dental and vision, EAP), competitive PTO, 401k match, parental leave, and HSA contribution match. We also provide our employees with a paid subscription to the Calm app and offer generous external learning and tuition reimbursement benefits. At AFS, we offer a hybrid work schedule for most roles that allows employees to have the flexibility of working from home and one of our primary offices. EEO Statement Apex Fintech Solutions is an equal opportunity employer that does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, veteran status, marital status, or any other protected characteristic. Our hiring practices ensure that all qualified applicants receive fair consideration without regard to these characteristics. Disability Statement Apex Fintech Solutions is committed to creating an inclusive and accessible workplace for all candidates, including those with disabilities. We are dedicated to ensuring equal employment opportunities and providing reasonable accommodations to qualified individuals with disabilities. If you require reasonable accommodations to participate in the application or interview process, please submit your request via the Candidate Accommodation Requests Form. We will work with you to provide the necessary accommodations to ensure your full participation in our hiring process.

Sunoco LP is a leading energy infrastructure and fuel distribution master limited partnership operating across 47 U.S. states, Puerto Rico, Europe, and Mexico. The Partnership's midstream operations include an extensive network of approximately 9,500 miles of pipeline and over 100 terminals. This critical infrastructure complements the Partnership's fuel distribution operations, which serve approximately 10,000 convenience stores, independent dealers, commercial customers, and distributors. At Sunoco, we take great pride in what we do and wholeheartedly believe our employees drive success for our company and our customers. We are always looking for the best and brightest talent and we are committed to making your job a challenging and rewarding experience. This is a twelve (12) week paid internship program beginning May 2026. You must be currently enrolled in an undergraduate or graduate degree program with an expected graduation date in Fall 2026 or Spring 2027 During your internship you will have direct access to senior leadership within the organization as well as the opportunity to work on high-impact strategic projects in addition to your core departmental responsibilities. This role is a fantastic opportunity for someone interested in learning about the oil & gas industry in a fast-paced, intellectually stimulating environment. Candidates will have the opportunity to express their department and location of preference during the interview process. Essential Duties and Responsibilities: * Develop and refine datasets, reports, dashboards, models that drive strategic decision-making * Manage project deployment pipelines that takes code from development environments to production. * Serve as a thought partner to your teammates, contributing to the team's strong problem-solving orientation. * Collaborate with cross-functional partners to ensure your work is understood and supported across the organization Requirements: Education and/or Experience, Knowledge, Skills & Abilities: To perform this job successfully, an individual must be able to perform each essential job duty satisfactorily. The requirements for this position are listed below: * Currently enrolled in college - we're open to candidates of all degrees - if you possess the intangibles above and the work sounds intriguing, we can teach you the rest * Preferably junior status * General requirements include self-motivated individuals, involvement in activities outside college studies. * Above average GPA * Distinctive problem-solving skills and an intellectual curiosity to solve unique and oftentimes complex problems. * Strong work ethic and high level of self-motivation and accountability to "get stuff done" - while you'll receive regular coaching and feedback, we intentionally position our interns to be able to own their work * Ability to operate effectively in a fast-paced environment with occasionally tight deadlines * Excellent written and verbal communication skills * Able to write database queries using the SQL programming language. * Experience with data cleaning in either the R or Python programming languages using packages such as `dplyr` and `pandas`. * Familiarity with version control systems such as Git.

As a Data Center Quality Inspector I, you provide superb quality control services for our clients. The work includes performing essential inspections of electrical equipment and systems, such as switchgear and substations. Detailed knowledge of mechanical and instrumentation is critical to conduct inspections and interpret electrical drawings and specifications. Attentively, you ensure the equipment and technicians around you comply with company and site safety requirements. You prepare detailed daily reports about your findings, including time tracking and special inspection reports. Diligently, you approve and submit important documents such as Lockout/Tagout (LOTO) requests, team reports, and time tracking reports. You take pride in assuring that our clients receive safely installed and functional equipment every time. If you are an analytical and detail-oriented individual who communicates effectively and prioritizes safety, this could be the position for you! Travel may be required. Responsibilities Ability to read and interpret electrical drawings and specifications. Prepare written documentation such as daily narratives (work reports), special inspection reports, and daily time tracking. Perform inspections of switchgear, standby generators, protective relays, and other electrical distribution components. Submit LOTO requests, review and approve team reports, and time tracking. Ensure compliance with all company and site safety requirements. Benefits Competitive pay, depending on experience. Medical, dental, vision, 401(k) with company match, among other benefits. Holidays and paid vacation time. Extensive learning and development opportunities. Requirements Requirements High school diploma or equivalent. Higher education degree preferred. Minimum of two years of experience inspecting, testing, commissioning, or operating electrical distribution systems. Commercial or naval nuclear experience is strongly desired. OSHA 10-hour Construction Safety training. Commitment to excellence and high standards.