Data Scientist

We are looking for a Data Scientist for one of our leading engineering clients in Irving, TX or Cary, NC. APPLY NOW!Title: Data Scientist 3Location: Irving, TX or Cary, NC-100% onsite- Cary, NC preferredHours: M-F regular 40 hour work weekType: ContractPay: range $39-42.77/hour on w2Length: 12 months- possibility to extendScreenings: no tech, full panel drug and background once hiredIV process: 2 onsite IV's+optional benefits, long term contract with ability to extend or convert to full time⭐ Must haves:Years of experience: 5+ years (regardless of level of degree) - will accept internships as job experienceDegree requirement: Bachelors and/or Masters are required Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow)Strong foundation in statistics, probability, and machine learningFamiliarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modelingexperience working in at an enterprise levelExcellent communication skills to explain technical concepts to non-technical stakeholdersJob DescriptionA Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making. This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation.Position’s Contributions to Work Group:A Data Scientist is responsible for analyzing large volumes of structured and unstructured data to extract actionable insights, build predictive models, and support data-driven decision-making.This role blends statistical expertise, programming skills, and business acumen to solve complex problems and drive innovation.Why (client name removed)? “Whether it be ground-breaking products, best in class solutions or a lifelong career, you can build what matters to you at (client name removed). With 150 locations in countries around the world, what you create at (client name removedtravels and helps people around the world. You can collaborate with the best minds in the industry, complete meaningful work and continuously grow and develop through our various opportunities. Here, you can do the work that matters.”Typical Day or Week in the RoleTypical task breakdown and rhythmInteraction level with teamTeam StructureWork environment descriptionTypical task breakdown:Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usabilityExploratory Data Analysis: Identify trends, anomalies, and patterns in large datasetsModel Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-makingData Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findingsAutomation & Optimization: Develop scripts and tools to automate data processing and model deploymentCollaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goalsResearch & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challengesInteraction with team:Primarily working with 10+ folks, working with business ( technical team and partners )Work environment:Onsite Full timeSoft Skills(Required)Excellent communicationBusiness acumenDisqualifiers/Red Flags/Overqualifications:Choppy tenureAny project done outside of work (Data Science work) is also welcome.If candidate isn’t local at this time, we are not interested in in reviewing those resumes at this time.