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Job Description Position Summary The Principal Scientist will be responsible for leading innovation, driving clinical research, and ensuring the scientific integrity of the brand’s skincare portfolio. This role blends formulation science, clinical validation, regulatory compliance, and thought leadership, requiring collaboration with cross-functional teams such as Marketing, Sales, Education, Regulatory, and Quality. The ideal candidate will have a PhD (preferred) or PharmD or MS with 5-8 years of experience in medical-grade skincare, with expertise in cosmetic chemistry, clinical study design, claims substantiation, and scientific communication. Key Responsibilities 1. Innovation Leadership & Product Development • Lead major and minor launches, ensuring alignment with scientific credibility and brand innovation., • Research and integrate cutting-edge skincare technologies into new product formulations., • Collaborate with formulation chemists and CDMOs to optimize product development from concept to commercialization., • Reformulate products to meet global regulatory requirements and manage raw material discontinuations. 2. Clinical Research & Claims Substantiation • Design, execute, and interpret clinical studies to validate product efficacy and claims., • Identify and collaborate with clinical research organizations (CROs) and academic institutions for dermatology-based studies., • Write or review study protocols, informed consent forms, case report forms, and final reports., • Analyze clinical study data in collaboration with biostatisticians to ensure robust claims substantiation., • Publish at least two manuscripts or posters annually in peer-reviewed journals or dermatology conferences. 3. Scientific Communication & Thought Leadership • Train Key Opinion Leaders (KOLs), including physicians, nurse practitioners, aestheticians, and medical students, on scientific innovations., • Develop and deliver scientific training for the Sales and Marketing teams to strengthen internal technical expertise., • Present at industry conferences (e.g., dermatology, plastic surgery, aesthetics), • Conduct literature reviews on competitors’ products and train internal teams on scientific differentiation. 4. Regulatory & Compliance Collaboration • Partner with the Regulatory and Quality teams to ensure products meet domestic and international compliance requirements., • Review marketing claims (LCR process) for both new and existing products to ensure scientific accuracy and regulatory compliance. 5. Cross-Functional Collaboration & Business Support • Work closely with Marketing, Sales, Education, Quality, and Regulatory teams to ensure scientific rigor in product positioning., • Support new product launches by developing scientific messaging, claims support, and internal training materials., • Attend at least three industry conferences to stay ahead of skincare and dermatology trends., • Present product innovation updates and clinical results to executives as part of the stage-gate process., • Mentor junior RCD team members to foster a culture of scientific excellence and innovation., • Ability to handle and prioritize multiple projects/initiatives., • Celebrates successes and shares credit for work with others, • Expertise in cosmetic formulation, clinical research, ingredient evaluation, and regulatory compliance., • Strong publication record in skincare science and experience in peer-reviewed journals or dermatology conferences., • Some experience working with Key Opinion Leaders (KOLs) and clinical study sites to generate scientific data supporting skincare claims., • Excellent presentation skills, with experience training internal teams and external partners., • Experience with clinical trial design, including protocol development, statistical analysis, and claims substantiation., • Knowledge of global regulatory frameworks for skincare (e.g., FDA, EU, Asia-Pacific)., • Familiarity with intellectual property strategy and patent filings in skincare innovation. This role is ideal for an industry-leading skincare scientist who is passionate about bridging innovation, clinical research, and commercial strategy. As a Principal Scientist, you will shape the future of medical-grade skincare by ensuring scientific excellence, regulatory compliance, and thought leadership in the dermatology space. Leadership Competencies: • Initiates and drives changes related to marketed products, • Speaks up and has a point of view even when it is unpopular and can handle their own when challenged, • Knows when to get into the details and “roll up your sleeves” to help with tactics, • May supervise a professional staff, • Works cross organizations and with global partners Travel: • This position will require up to 30% of travel

Job Description You could be a data scientist anywhere. Why us? * Join a pre-IPO startup with capital, traction and runway ($240M funded | 60X revenue growth in 5 years | $2T market size) * Partner with our VP of Data Science & Analytics, Armando La Rocca (ex-BCG, Better) * Disrupt a massive market and take us to a $10B business in the next few years * Be immersed in a talent-dense environment and greatly accelerate your career growth About the opportunity: Jerry is looking for a Data scientist to join our growing team! We hit a huge milestone in early 2024 by achieving profitability and have ambitious goals for the next few years — scale from 5M to 50M customers and become a $10B business. As a data scientist, you will play a key role in championing data-driven decisions across the company’s most critical business initiatives (including carrier growth and development, building new products from 0-1, etc.). As part of the data science & analytics team, you will leverage advanced machine learning models to conduct in-depth analyses and extract insights that will shape our growth strategies. Jerry is building the first super app to make car ownership affordable and accessible – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, driving insights, repair marketplace, car diagnostics, and a GenAI-powered chatbot & voicebot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 60X and our team to 225 across 6 countries. Here's what an ex-BCG teammate has to say about joining Jerry: "The biggest difference between my current role at Jerry and my past life at BCG is being able to feel the direct impact my work has on the business, every day. In consulting, I rarely felt like my work was having any impact on the world, despite advising the largest global corporations. Here, I can see that my work is moving the needle on key company metrics in a matter of weeks. When I say "key," I mean it: I am not talking about secondary KPIs that no one pays attention to, but business-critical metrics that the CEO and the rest of the C-suite look at on a daily basis (think sales, retention, pricing, etc). The benefit of being a digital-first company is that we are sitting on a treasure trove of data. This means we almost never have to make a decision that's not backed by a robust, statistically significant analysis. While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. I have also appreciated the professional growth opportunities. I have had flexibility to work on the skills I wanted to develop, be it technical or soft skills. I have found continuous learning to be one of my most important drivers of happiness at work. Getting the space and latitude to work on projects that I am most interested in was all the more important for this reason." How you will make an impact: * Partner with marketing, product, and business development teams to integrate customer performance insights into user and partner acquisition strategies * Lead the design, execution, and analysis of A/B experiments on new and existing features, extracting key insights to inform product and business strategies * Define, understand, and test levers to drive profitable and scalable user acquisition and partnership growth * Identify opportunities to automate manual processes and optimize operational efficiency Preferred experience: * Bachelor’s degree in a quantitatively or intellectually rigorous discipline * 1+ years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1+ years of management consulting experience from a top firm (McKinsey, Bain, and Boston Consulting Group preferred) OR relevant experience in data science/business analysis * High level of comfort with SQL or Python Who you are: * You have a framework for problem solving and live by first principles * You are comfortable communicating with audiences varying from front-line employees to the company’s C-suite * You set a very high bar for yourself and for your team, and you are constantly pushing that bar higher in the pursuit of excellence While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai: Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market. Compensation Range: $100K - $130K

Job Description Position Summary: We are seeking a motivated Data Scientist to research, develop, and enhance machine learning and deep learning algorithms that drive innovative healthcare solutions. This role involves maintaining high data quality standards, collaborating with clinical and business partners to understand their needs, and translating advanced research into practical applications. The ideal candidate will assist in building and improving deep learning frameworks, manage projects independently, and work effectively both individually and within cross-functional teams. Staying current with emerging technologies and demonstrating strong communication, attention to detail, and persistence are essential for success in this role. Essential Duties and Responsibilities: • Research, develop, and enhance machine learning and deep learning algorithms and frameworks for computer vision applications, translating cutting-edge research into practical healthcare solutions., • Implement and optimize deployment pipelines for trained models to enable efficient, scalable, and hardware-optimized inference., • Apply model optimization techniques to reduce computational overhead while preserving accuracy., • Maintain data quality and integrity across the data lifecycle to support robust algorithm development and model training., • Collaborate with clinical partners and internal stakeholders to understand needs and deliver AI solutions that improve model performance., • Assist in writing deep learning framework templates, identifying improvement areas, and implementing new model architectures., • Manage projects independently and contribute effectively as part of a team, ensuring reproducible analyses, clear documentation, and knowledge sharing., • Stay updated with the latest data science methods, technologies, and industry trends., • Strong foundation in state-of-the-art deep learning architectures (e.g., vision transformers) for computer vision tasks including image classification, object detection, and semantic segmentation., • Proficiency in deep learning libraries and frameworks, including PyTorch and TensorFlow., • Proficiency in C++ regarding object-oriented programming, data structure and performance optimization technique., • Solid knowledge of model optimization techniques, such as pruning, quantization, mixed-precision inference, and other performance-enhancing strategies., • Solid knowledge of model deployment tools, including ONNX, LibTorch, and TensorRT., • Strong grasp of model evaluation metrics, benchmarking, and best practices for computer vision model validation., • Self-driven with the ability to deliver on ambiguous projects with incomplete data., • Experience and knowledge in healthcare domain with successful outcomes. Prolonged periods of sitting at a desk and working on a computer. Travel: N/A Equal Employment Opportunity: Spectral MD, Inc. is an equal opportunity and affirmative action employer. All applicants will be considered for employment without regard to race, color, ancestry, national origin, sex, gender, sexual orientation, marital status, religion, age, disability, gender identity, results of genetic testing, protected veteran status, or any other characteristic protected by applicable federal, state or local laws.

Job Description Note: Only on W2 Must be local to either Cary, NC or Irving, TX Client: Caterpillar Education: • Bachelors or Masters are required Qualifications: • 5+ years of experience are required Top Skills: • Proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn, TensorFlow), • Strong foundation in statistics, probability, and machine learning, • Familiarity with cloud platforms (Azure, AWS, Snowflake) and data modeling, • Excellent communication skills to explain technical concepts to non-technical stakeholders Job Duties: • 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., • Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability, • Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets, • Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making, • Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings, • Automation & Optimization: Develop scripts and tools to automate data processing and model deployment, • Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals, • Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges

Job DescriptionMedical Laboratory Scientist Alternate Job Titles: • Clinical Laboratory Scientist, • Medical Technologist, • Laboratory Analyst – Clinical Diagnostics, • MLS – Chemistry/Biology, • Type: Contract, • Duration: ~10 weeks, • Start: ASAP, • Shift/Hours: Tuesday–Saturday, 1:00 PM – 9:30 PM CST, • Note: Must be a fast learner, take initiative, and be flexible with scheduling as neededJob SummaryThe Medical Laboratory Scientist is responsible for analyzing patient specimens using approved testing procedures and ensuring all lab protocols are followed in compliance with CLIA, HIPAA, and OSHA regulations. The role demands strict adherence to quality control, documentation standards, and proactive identification of potential test discrepancies or performance issues.Key Responsibilities• Follow laboratory protocols for specimen handling, processing, and recordkeeping, • Analyze specimens per approved SOPs and release accurate test results, • Maintain and review QC documentation, calibrations, and instrument logs, • Ensure compliance with CLIA, HIPAA, OSHA, and lab safety standards, • Identify and resolve performance issues or escalate to supervisors, • Participate in STATS and critical result reporting as required, • Maintain departmental appearance, safety knowledge, and reagent tracking, • Attend monthly department and safety training sessions, • Assist during regulatory inspections and audits, • Perform other duties as directed by supervisorRequired Experience• Minimum 1 year of clinical lab experience in high-complexity testing (preferred), • 1 year of experience required for those with BS/BA in Chemistry or BiologyNice-to-Have Experience• Experience with multi-system lab environments, • QA/QC oversight in testing labsRequired Skills• Lab testing and analysis, • Quality control and documentation, • Compliance (CLIA, OSHA, HIPAA), • Critical thinking and troubleshooting, • Multisystem data entry and computer skillsPreferred Skills• Client interaction and customer service, • Safety procedure adherence, • Recordkeeping and audit preparednessAdditional Skills• Team collaboration, • Flexibility with scheduling, • Strong initiative and communicationBenefits• Medical, Vision, and Dental Insurance Plans We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier. There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: Awards SIA’s Fastest Growing Staffing Firm: 2023 and 2015 SIA’s Best Staffing Firm to Work for: 2019 -2023 Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015 Randstad Preferred Supplier: 2020 - 2023 TechServe Alliance Excellence Award. 2019 NH Business Magazines Fast 5 fastest growing companies Ernst & Young Entrepreneur of the Year Finalist: 2015Global Technical Talent is a subsidiary of Chenega Corporation () with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.\r\n\r\nWe are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.\r\n \r\nThere is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: \r\n \r\nAwards\r\n\r\nSIA’s Fastest Growing Staffing Firm: 2023 and 2015\r\nSIA’s Best Staffing Firm to Work for: 2019 -2023\r\nInc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015\r\nRandstad Preferred Supplier: 2020 - 2023\r\nTechServe Alliance Excellence Award. 2019\r\nNH Business Magazines Fast 5 fastest growing companies\r\nErnst & Young Entrepreneur of the Year Finalist: 2015

Job Description Must Haves : · 1-3 years' work and/or educational experience with direct programing in SQL • SAS experience, • Strong communication / collaboration, • Experience Querying data rather than working as a DBA, • Python or R preferred Education: • Master’s degree in computer science, statistics, economics or related fields Overview: Our Enterprise Data and Analytics team is growing, and we're looking for an outstanding Senior Data Scientist to join our team. At Huntington, you will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal. As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes. Responsibilities: · Performs advanced analytics methods to extract value from business data · Performs large-scale experimentation and build data-driven models to answer business questions · Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence · Determines requirements that will be used to train and evolve deep learning models and algorithms · Articulates a vision and roadmap for the exploitation of data as a valued corporate asset · Influences product teams through presentation of data-based recommendations · Evangelizes best practices to analytics and products teams · Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring Skills: · Up-to-date knowledge of machine learning and data analytics tools and techniques · Strong knowledge in predictive modeling methodology · Experienced at leveraging both structured and unstructured data sources · Willingness and ability to learn new technologies on the job · Demonstrated ability to communicate complex results to technical and non-technical audiences · Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines · Strategic, intellectually curious thinker with focus on outcomes · Professional image with the ability to form relationships across functions · Strong experience with R/RStudio, Python, SAS, SQL, NoSQL • Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) · Financial Services background preferred

Job Description BLEW is excited to announce an opening for a Staff Scientist specializing in Environmental and Property Condition Assessments. In this role, you will be instrumental in managing projects that involve the assessment of both environmental conditions and physical property conditions for various projects across the United States. This is a fantastic opportunity in the commercial real estate due diligence industry. Annual Salary Range: $70,000-$95,000 Responsibilities • Conduct and write dual-scope(ESA/PCA) assignments, integrating environmental site assessments(Phase I's) and property condition assessments(PCAs)., • Provide solid recommendations and solutions to Managing Directors and clients while understanding the assessment’s potential impact on the transaction process., • Oversee quality control throughout the project’s life cycle., • Conduct site visits and lead fieldwork activities as necessary., • Complete research (historical, regulatory, etc.)., • Communicate with client and subject site representatives., • Conduct appropriate site reconnaissance., • Data compilation and organization., • Prepare quality supporting documentation (site figures, appendices, etc.)., • Bachelor's degree in Environmental Science, Environmental Engineering, Architecture, or a related field., • 5+ years of experience in environmental assessments and property condition assessments., • Strong knowledge of, and experience with, Fannie Mae and Freddie Mac scopes of work is beneficial., • Strong knowledge of, and experience with, HUD scopes of work is beneficial., • Excellent verbal and written communication abilities., • Strong analytical and problem-solving skills., • Experience managing multiple projects simultaneously while meeting tight deadlines., • Professional certifications, such as Certified Environmental Professional (CEP), Registered Architect(RA), or Professional Engineer(PE), are a plus., • Radon & AHERA (Asbestos) certifications are a plus., • 95% coverage of health benefits including Medical and Dental with optional family and/or dependent enrollment paid by employee at a group rate, • 50% company contribution towards Vision coverage, • Tuition reimbursement (up to $5,250 per year), • 401(k) matching program: company match 100% of your deferrals up to 3% of your compensation, plus 50% of your deferrals over 3% not exceeding 5% of your compensation, • 100% employer paid Short-Term Disability with employee buy up options, • 100% employer paid Life Insurance Coverage with employee buy up options, • Paid parental leave, • Holiday pay, • Sick pay, • Paid vacations, • Possible year-end bonuses based on performance and tenure, • Company computer, • Relocation and Sign on Bonuses may apply

Job DescriptionBenefits: • HYBRID, • Competitive salary, • Opportunity for advancement Work Arrangement • Hybrid work model: primarily remote within the DallasFort Worth area., • Occasional on-site presence required for meetings, training, or business needs., • Limited business travel may be required. Roles & Responsibilities . 6+ years of experience in Machine Learning and Data Science. Strong understanding of Generative AI, Retrieval Augmented Generation, Agentic Workflow, Statistical methods, data structures, and algorithms. Strong programming skills in Python; experience with Machine Learning libraries and Generative AI frameworks (e.g., Pandas, NumPy, Matplotlib, Seaborn, TensorFlow, PyTorch, scikit-learn, LangChain) and LLMs. Experience developing and deploying AI solutions on cloud platforms (e.g., AWS, Azure, or GCP). Experience in building Asynchronous Python APIs. Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI solutions. Proven experience in developing and deploying machine learning models in a production environment. Experience working with large datasets and performing data analysis Required Qualifications Education • Bachelor's degree in Mathematics, Computer/Data Science, Information Technology, or a related field, or equivalent experience. Experience • Advanced experience in data science, machine learning, AI, or optimization projects., • Proficiency in Python and SQL., • Strong understanding of statistical methods, experimental design, and model validation., • Experience with data pipelines and relevant programming libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow, Pyspark)., • Familiarity with data visualization tools (e.g., Tableau, Plotly, Streamlit). Preferred Experience • Experience with AWS cloud services (e.g., SageMaker, Lambda, Glue, EMR)., • Exposure to specialized analytics areas such as simulation, graph analytics, or video analytics. Skills & Abilities • Ability to independently manage and deliver on complex projects., • Strong problem-solving and critical thinking skills., • Effective communication skills for both technical and executive audiences., • Ability to adapt quickly to changing priorities and new technologies., • Strong interpersonal and collaboration skills. .....

Job DescriptionBenefits: • Competitive salary, • Flexible schedule Roles & Responsibilities : • Design, build, fine-tune, and deploy LLMs, transformer-based NLP models, and GenAI solutions for both batch and real-time/streaming contexts., • Own all major components of ML pipelines: data ingestion, cleaning, pre-processing (structured & unstructured), embedding, search & retrieval, prompt engineering, RAG (Retrieval-Augmented Generation)., • Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to productionensuring reliability, scalability, monitoring, and maintainability., • Define and implement evaluation frameworks: accuracy, bias, fairness, hallucination, consistency, latency; run UAT, stress-tests, drift detection., • Optimize models and pipelines for performance, cost, and efficiency., • Ensure best practices in model development: version control, repeatability, documentation, governance, and ethical AI use., • Mentor more junior data scientists; help build team skills in NLP, GenAI practices, prompt engineering, fine-tuning., • Identify new use cases; prototype innovations in GenAI/NLP; keep up with latest research and open source developments, decide what to adopt. Must-Have Qualifications: • 10+ years of experience in data science / ML, with substantial work in NLP, LLMs, or Generative AI., • Deep hands-on experience in Python, using frameworks like PyTorch, TensorFlow, HuggingFace etc., • Proven track record building transformer/NLP / LLM models; experience with fine-tuning, prompt engineering., • Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases., • Experience working in production / deploying models (batch and streaming), working with MLOps practices., • Strong algorithmic / statistical / mathematical fundamentals. Ability to reason about model behaviour, bias, uncertainty., • Good communicator: able to translate complex technical detail to business / non-technical stakeholders. Nice to Have: • Master's in Computer Science, Computational Linguistics, Statistics, Machine Learning or related field., • Experience with multimodal models (vision + text) or emerging LLMs and agent-based systems., • Experience with open source LLMs & toolkits; familiarity with LangChain or similar frameworks., • Prior experience in regulated environments (finance, risk, legal, compliance) with strong governance, privacy requirements. Work remote temporarily due to COVID-19.

🚀 We're Hiring: Data Scientist 📍 Cary, NC or Irving, TX (On-site only) 💼 Duration: 12 months Pay Rate: $49 to $54 per hour (plus full benefits) for Irving, TX location. See Cary, NC posting for rates local to that area. 🔍 About the Role As a Data Scientist, you’ll work with large volumes of structured and unstructured data to build predictive models, uncover trends, and support strategic decision-making. This is a hands-on role that blends statistical expertise, programming skills, and business acumen to solve complex challenges and drive innovation. 🧠 What You’ll Do • Collect, clean, and validate data from multiple sources, • Analyze data in Snowflake and prepare it for consumption, • Perform exploratory data analysis to identify trends and anomalies, • Design and implement machine learning models (regression, classification, clustering, NLP), • Build dashboards and reports using tools like Power BI, • Automate data workflows and model deployment, • Collaborate cross-functionally with product, engineering, and business teams, • Stay current with emerging data science tools and techniques 👥 Who You’ll Work With You’ll be part of a collaborative team of 10+ professionals, working closely with both technical and business stakeholders in a full-time, on-site environment. ✅ What We’re Looking For • 5+ years of experience in data science (internships count!), • Bachelor’s or Master’s degree in a relevant field, • Proficiency in Python, SQL, Pandas, Scikit-learn, TensorFlow, • Strong foundation in statistics and machine learning, • Familiarity with cloud platforms (Azure, AWS, Snowflake), • Excellent communication skills and business acumen 🚫 Please Note • Candidates must be local to Cary, NC or Irving, TX, • Choppy tenure may be a disqualifier

Job Description Remote Data Scientist Qualifications Applicants for this role will have: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field 5-10+ years of experience in a data-oriented environment (analysis, engineering, science, strategy) Extensive experience with machine learning in a production environment, particularly using Databricks Proven experience in the B2B payments industry or in similar areas pertaining to payments and account fraud detection Strong technical skills in data engineering and machine learning, including a high degree of proficiency in SQL and Python Experience working with external data vendors such as LexisNexis, Experian, Equifax, etc. Ability to work independently and manage projects with minimal supervision Excellent communication skills with the ability to present complex information to non-technical stakeholders Strong problem-solving skills and attention to detail Familiarity with a wide range of machine learning techniques, both supervised and unsupervised, and experience with frameworks such as scikit-learn, TensorFlow, or PyTorch Proficiency in data visualization tools (e.g., Matplotlib, Seaborn, Power BI) to effectively communicate findings Excellent communication and collaboration skills to work effectively in cross-functional teams Business acumen - understand business objectives, identify problems that data can help solve and drive the solution from start to finish Developed communication and presentation skills; ability to effectively translate technical concepts to stakeholders with a wide range of technical capabilities Collaborative attitude; open to giving and receiving constructive feedback, mentoring/assisting team members and contributing to a positive work environment Company DescriptionRightStaff was recognized by INC 5000 as one of the fastest growing companies in the nation. RightStaff's unique process and approach to staffing has enabled us to provide services that far exceed our competitors in the areas of resource qualification, delivery and performance measurement. Voted Best Places to work in the Dallas/Fort Worth area. RightStaff is a nationwide IT solutions partner. We offer a full range of services, covering recruitment, project management, rollouts, project deployment, staffing, consulting services, and direct hire placement. RightStaff is continuing to grow our service offerings every year, offers excellent compensation, and a great opportunity for career growth.RightStaff was recognized by INC 5000 as one of the fastest growing companies in the nation. RightStaff's unique process and approach to staffing has enabled us to provide services that far exceed our competitors in the areas of resource qualification, delivery and performance measurement.\r\n\r\nVoted Best Places to work in the Dallas/Fort Worth area. RightStaff is a nationwide IT solutions partner. We offer a full range of services, covering recruitment, project management, rollouts, project deployment, staffing, consulting services, and direct hire placement. \r\n\r\nRightStaff is continuing to grow our service offerings every year, offers excellent compensation, and a great opportunity for career growth.

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Data Scientist-Python Libraries for our client in the Consulting Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Contract-Corp to Corp position, and the client is looking for someone to start immediately. Duration: 2 Months Contract-Corp to Corp with possible extension Location: Dallas, TX (Remote) Salary: $80.00 - $90.00/Hourly Role: Data Scientist-Python Libraries Primary Skills: Data Scientist, LLM, Python Role Description: The Data Scientist-Python Libraries must have 7+ years of experience. Key Skills: • Data Scientist, LLM, Python, Libraries, NLP, Text analytics. Key Responsibilities: • Develop and maintain Python modules for text parsing, cleaning, and extraction., • Implement NLP and text analytics techniques to process unstructured data into structured outputs., • Integrate external APIs, open-source libraries, and cloud services into data workflows., • Write robust code with error handling and exception management for data pipelines., • Build utilities for rule-based text extraction, normalization, and transformation., • Document workflows, experiments, and code in a structured manner. Required Qualifications: • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field., • 2–5 years of experience in Python-based development., • Strong knowledge of NLP libraries and text analytics (spaCy, NLTK, regex, transformers)., • Familiarity with data parsing, unstructured data processing, and extraction frameworks., • Experience with external APIs and JSON/structured data handling., • Solid understanding of error handling and debugging practices in Python., • Strong analytical skills with ability to work on unstructured datasets. Education: Any/Bachelor’s degree Experience: Minimum 7+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Sachin Anand Recruiter Phone: (412) 912-1475 Benefits: We have various coverages and additional benefits to choose from: • Medical, Dental (Including Ortho) & Vision Insurance (Option to Enroll)., • Paid Leaves (Wherever applicable)., • Life & Disability Coverage (Upon eligibility)., • 401K Option, Education Assistance Program and more. Mastech Digital 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 protected veteran status.

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.

Skills in data warehouse design, including dimensional modeling and data mining preferred. Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. Experience as an Analytics Engineer, BI Developer, or Data Scientist required.

As a Senior Data Scientist at SFL Scientific, a Deloitte Business, you will define data strategy, drive technical development, and help us create the next generation of tools, products, and AI services. Working with a team of interdisciplinary data scientists, engineers, architects, and consultants,

Basic relocation may be available, depending on relocation qualifications. Cat Technology owns enterprise-wide initiatives in innovation, research and development, manufacturing automation and advanced materials, ensuring Caterpillar continues to lead the industry in technological excellence and eng

We're committed to attracting the most creative, talented, and motivated students for our Associate Data Scientist and Data Scientist roles. Including: Understanding business issues, proposing technical solutions, data wrangling, data cleaning, data analysis, feature engineering, model selection, mo

The Job Market is Challenging due to almost 300,000 Tech Layoffs since October 2022 due to which thousands of laid off Techies are competing with existing Jobseekers.Entry level Job seekers struggle to get responses to their applications forget about getting client interviews.As the Saying goes when

Verizon is an equal opportunity employer. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy.

Almost 390,000 tech employees have been laid off since 2022 and it's still ongoing.The effect of this has led hundreds of thousands of laid off tech employees competing.

Senior Data Scientist Sales Compensation Analytics & Dashboards. Mentor Sales Compensation analysts on analytics and visualization best practices. Build strong partnerships with Sales, Finance, and HR to align analytics with business strategy.

Since 2010 Synergisticit has helped jobseekers get employed in the tech job market by providing candidates the requisite skills, experience, and technical competence to outperform at interviews and clients.Here at SynergisticIT we just don't focus on getting you a tech job we make careers.In this jo

While data science can be a support function in some other places (this was something I wanted to avoid), data scientists at Jerry are at the core of the business. As a data scientist, you will play a key role in championing data-driven decisions across the company's most critical business initiativ

We are looking for a Data Scientist who will support our client teams with insights gained from analyzing data leveraging advance analytics techniques.

Job Opportunity At Synergisticit.Synergisticit wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need.Position open for all visas and US citi

We're seeking a highly driven Front Office Engineer/Data Scientist to join our investment team in Dallas, TX.

Proficiency with Azure services such as Azure Machine Learning, Azure Databricks, and Azure Data Factory leveraging data sources from SQL and No SQL data sources such as graph, Cosmos DB, JSON in Blob Storage, and vector databases. Research opportunities and implement the integration and correlation

Analyze large and diverse healthcare datasets, including claims, provider, and operational data. Identify gaps, challenges, and opportunities across datasets and processes, and propose effective solutions. Data Science, Statistics, Computer Science, Engineering, Physics, or Economics.

The opportunity** The EY Growth Platforms Data Scientist Senior Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. EY-Parthenon - EY Growth Platforms - Data Scientist

Automate data workflows and model deployment. Stay current with emerging data science tools and techniques. Collect, clean, and validate data from multiple sources.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formula

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Working on customer Data & Personalization. He/she will be Building and Analyzing Customer Data. Analyzing & Drawing insights of Customer data.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formul

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formula

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Data Scientist Job Duties: Formul