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Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Your Responsibilities as a Project Scientist 2: • Collect soil, water, air, and/or building material samples., • Gather, analyze, and interpret data., • Write technical reports and proposals., • BS in Geology, Hydrogeology, Environmental Science, or other related field, • 4-6 years of experience with environmental field sampling and data collection, • Experience with State of Texas corrective action programs: TRRP, LPST, IOP, VCP, Spill Rules, RRC programs, etc., • Capacity/experience respond to short term emergency response efforts, • Strong technical writing skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices, • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation are required., • Strong communication skills., • Proficiency with Microsoft Office suite. Why you'll love working for us: • Company-subsidized medical and dental., • Company-paid life, short, and long-term disability., • 401k match, tuition assistance, and more., • Cross-training and the ability to work on a variety of projects., • Performance-based bonuses or other incentives., • Working with the best and brightest in the industry., • 1,700+ employee national firm with 50+ locations across the US. Apex Job Title: Staff Scientist 2 Req ID: 10734 We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

Job Description Marketing Data Scientist - MMM Specialist (Remote) Location: Remote (Based in Dallas, TX) Pay Range: $73-$83/hr Duration: 3-month Project Assignment Weekly Pay and Benefits! As humans, there are few things more exciting than meeting someone new. Our client is inspired by the challenge of keeping the magic of human connection alive. With tens of millions of users, hundreds of millions of downloads, 2+ billion swipes per day, 20+ million matches per day, and a presence in 190+ countries, their reach is expanding and rapidly growing. Our client is seeking an experienced Marketing Data Scientist with deep expertise in Media Mix Modeling (MMM) to join their marketing analytics team. The ideal candidate will have 3+ years of professional Python experience, hands-on experience with Google Meridian or similar MMM frameworks, and strong capabilities in MMM validation, anomaly detection, and results synthesis. This role will be instrumental in optimizing marketing spend allocation and measuring campaign effectiveness across multiple channels. Responsibilities: • Develop and maintain sophisticated Media Mix Models using Google Meridian, Lightweight MMM, or similar frameworks, implementing advanced techniques including Bayesian statistical modeling, adstock transformation, saturation curves, and diminishing returns modeling, • Design and execute MMM experiments and validation frameworks to measure incrementality, media effectiveness, and ensure model reliability through holdout tests, geo-experiments, sensitivity analysis, and automated performance monitoring, • Build production-ready MMM systems using Python and modern data engineering practices, creating scalable, code-based solutions that integrate with existing marketing technology stacks and data warehouses, • Implement comprehensive quality assurance processes including anomaly detection systems, robustness testing, and automated alerts to maintain data quality and model performance over time, • Conduct scenario planning and budget optimization using MMM insights to drive strategic marketing investment decisions and resource allocation, • Translate complex analytical findings into actionable business recommendations through compelling visualizations, executive dashboards, and strategic presentations to marketing teams and senior leadership, • Synthesize results across multiple models and validation approaches to provide robust, data-driven recommendations for marketing strategy and budget allocation, • Optimize model performance for computational efficiency and scalability while implementing version control and reproducible modeling workflows for enterprise-level deployment Qualifications: • 3+ years of professional Python experience with strong proficiency in data science libraries (NumPy, Pandas, SciPy, Scikit-learn) and SQL, • 2+ years of marketing analytics experience with strong understanding of digital marketing channels, campaign structures, media buying processes, and marketing data sources (ad platforms, CRM, sales data), • Must be able to pass Phyton assessment, • Hands-on experience with Google Meridian MMM ( Media Mix Modeling) or other leading MMM frameworks (Lightweight MMM, Meta Robyn, PyMC-Marketing) including backend code-based MMM system development, • Strong statistical and modeling expertise in Bayesian statistics, time series analysis, econometric modeling, and probabilistic programming frameworks (JAX, Numpyro, PyMC, Stan), • Deep MMM validation and quality assurance skills including holdout testing, incrementality measurement, model calibration, and anomaly detection for marketing data, • Advanced analytical capabilities including results synthesis across multiple validation approaches, marketing attribution, causal inference methods, and experimental design (A/B testing, geo experiments), • Excellent communication and collaboration skills with ability to present complex statistical concepts to non-technical stakeholders and work cross-functionally with marketing, data engineering, and business intelligence teams Preferred Qualifications: • Direct Google Meridian implementation experience and customization capabilities, • Bachelors, Master's or PhD degree in Statistics, Data Science, Economics, Marketing Analytics, or related quantitative field with strong foundation in statistical modeling and experimental design, • Experience with cloud platforms (GCP preferred, AWS, Azure) for large-scale MMM deployment and real-time optimization systems, • Background in econometrics, marketing science, or advertising research with publications or presentations on MMM methodologies, • Knowledge of marketing experimentation platforms, incrementality testing tools, and data visualization platforms (Tableau, Looker, Plotly) TCWGlobal is an equal opportunity employer. We do not discriminate based on age, ethnicity, gender, nationality, religious belief, or sexual orientation. 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.

Job DescriptionAbout the RoleWe are seeking a highly skilled Data Scientist with expertise in Python, R, and PySpark to join our analytics team for a leading banking client. The ideal candidate will leverage advanced analytics, machine learning, and big data technologies to design data-driven solutions, generate actionable insights, and support strategic decision-making in areas such as risk management, fraud detection, customer segmentation, and credit scoring.Key ResponsibilitiesWork with large-scale structured and unstructured datasets to design, develop, and deploy predictive and prescriptive models.Apply statistical modeling, machine learning, and data mining techniques to address complex business problems in banking.Develop and optimize data pipelines and ETL processes using PySpark for efficient big data processing.Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing using Python and R.Partner with business stakeholders to translate requirements into analytical solutions.Create visualizations and dashboards to communicate insights to technical and non-technical audiences.Ensure compliance with data governance, privacy, and security standards in all analytics work.Required Skills & QualificationsBachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.3–7 years of experience as a Data Scientist, ideally within the banking or financial services domain.Strong programming skills in Python and R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, ggplot2, and caret.Hands-on experience with PySpark for distributed data processing and analysis.Strong statistical and mathematical foundation in regression, classification, clustering, time-series analysis, and hypothesis testing.Experience working with large datasets, big data platforms (Hadoop, Spark), and SQL/NoSQL databases.Familiarity with cloud platforms (AWS, Azure, or GCP) and version control (Git).Excellent problem-solving, communication, and stakeholder management skills.Good to have Experience in risk analytics, fraud detection, credit risk modeling, or customer analytics in banking/financial services.

Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Your Responsibilities as a Geologist: • Collect soil, water, air, and/or building material samples., • Gather, analyze, and interpret data., • Write technical reports and proposals., • BS in Geology, Hydrogeology, Environmental Science, or other related field, • 4-6 years of experience with environmental field sampling and data collection, • Experience with State of Texas corrective action programs: TRRP, LPST, IOP, VCP, Spill Rules, RRC programs, etc., • Capacity/experience respond to short term emergency response efforts, • Strong technical writing skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices, • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation are required., • Strong communication skills., • Proficiency with Microsoft Office suite. Why you'll love working for us: • Company-subsidized medical and dental., • Company-paid life, short, and long-term disability., • 401k match, tuition assistance, and more., • Cross-training and the ability to work on a variety of projects., • Performance-based bonuses or other incentives., • Working with the best and brightest in the industry., • 1,700+ employee national firm with 50+ locations across the US. Apex Job Title: Staff Scientist 2 Req ID: 10734 We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

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 Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools., • Experiment, evaluate, and create generative AI products for a variety of tasks, such as extracting data, summarizing documents, and other generative model applications., • Use fine tuning and advanced knowledge retrieval methods to improve the performance of generative AI models on specific tasks, • Evaluate the performance of models and make necessary improvements, • Collaborate with other scientists, data engineers, machine learning operations engineers, prompt engineers, and product owners to develop generative AI products, • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources., • Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards., • Collaborate, coach, and learn with a growing team of experienced Data Scientists., • 8 years of experience working as a GenAI Data Science., • Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git, • Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.), • Experience with Bedrock, JumpStart, HuggingFace, • Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming), • Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning, • Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job DescriptionCompany Description “We’re not in the shipping business; we’re in the information business” -Peter Rose, Expeditors Founder Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics. • 15,000 trained professionals, • 250+ locations worldwide, • Fortune 500, • Globally unified systemsJob Description We are looking for a highly skilled and motivated Data Scientist (level III or Senior) with experience in ML engineering, MLOps, and exposure to AI/GenAI to join our team. You will work closely with senior data scientists and engineers to build and maintain scalable ML pipelines and contribute to the integration of GenAI capabilities into our analytics solutions. This role supports the Americas geography under the IS organization and contributes to projects that enhance operations across 70+ offices. Successful candidates must understand or be able to: * Develop and maintain ML models and MLOps pipelines. * Stay updated with trends in MLOps and GenAI. * Communicate technical insights to cross-functional teams. * Break down complex problems and propose data-driven solutions. Major Duties and Responsibilities * Build and maintain MLOps pipelines for model training, deployment, and monitoring. * Support integration of GenAI models into analytics workflows. * Automate data ingestion and feature engineering processes. * Implement CI/CD and containerized deployments. * Monitor model performance and support retraining strategies. * Collaborate with data scientists and engineers to deliver solutions. * Ensure data quality and consistency. * Document processes and contribute to team knowledge base. Qualifications Minimum * Bachelor’s (5+ yrs. experience) or Master’s (3+ yrs. experience) in Computer Science, Data Science, Engineering, or related field. * Experience in MLOps or ML engineering roles. * Proficiency in Python, SQL, and version control systems. * Exposure to GenAI tools and concepts. Desired * Familiarity with ML frameworks (e.g., Scikit-learn, TensorFlow). * Experience with cloud ML services and containerization. * Understanding of GenAI APIs and prompt engineering. * Experience with IaC tools and real-time model deployment. Additional Information The annual salary for this position is between $120,000 to $150,000. The position is onsite in the office. Please ensure that if you apply you would be able to commute to the office. This position must be based out of one of our offices located in: Ellenwood (Atlanta) GA, Detroit MI, Edison (Nework) NJ, Torrance (Los Angeles) CA, Irving (Dallas)TX Expeditors also offers 26 remote days per year that can be used as needed. The entire team is based onsite and works closely with each other which help foster employee growth and job satisfaction. * Position is full time (40 hours per week) Monday through Friday (in office). We are an office business attire company. Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity. Expeditors offers excellent benefits • Paid Vacation, Holiday, Sick Time, • Health Plan: Medical, Prescription Drug, Dental and Vision, • Life and Long Term Disability Insurance, • 401(k) Retirement Savings Plan (US only), • Employee Stock Purchase Plan, • Training and Personnel Development Program

Job Description Are you highly motivated, hard-working, and seeking to join a growth-focused consulting & engineering firm? Are you looking for a company that will invest in your development and grow your professional skills? If so, consider a career with Apex! Powered by record sales, extraordinary client retention, strategic acquisitions, and an entrepreneurial spirit, Apex Companies is one of the fastest growing engineering and environmental consulting firms in the US. We were recently recognized by the Zweig Group as one of the fastest growing firms in the AEC industry. We take pride in providing our clients with exceptional service and have earned numerous awards for project excellence. We continue to grow, and we want you to grow with us. Your Responsibilities as an Environmental Scientist: • Collect soil, water, air, and/or building material samples., • Gather, analyze, and interpret data., • Write technical reports and proposals., • BS in Geology, Hydrogeology, Environmental Science, or other related field, • 4-6 years of experience with environmental field sampling and data collection, • Experience with State of Texas corrective action programs: TRRP, LPST, IOP, VCP, Spill Rules, RRC programs, etc., • Capacity/experience respond to short term emergency response efforts, • Strong technical writing skills, the ability to successfully multi-task, safety awareness, and a good record and understanding of safe work practices, • 40-hour HAZWOPER certification preferred, • Light construction experience/hands-on skills a plus., • Experience with data management and report preparation., • Valid driver's license, good driving history and reliable transportation are required., • Strong communication skills., • Proficiency with Microsoft Office suite. Why you'll love working for us: • Company-subsidized medical and dental., • Company-paid life, short, and long-term disability., • 401k match, tuition assistance, and more., • Cross-training and the ability to work on a variety of projects., • Performance-based bonuses or other incentives., • Working with the best and brightest in the industry., • 1,700+ employee national firm with 50+ locations across the US. Apex Job Title: Staff Scientist 2 Req ID: 10734 We believe in equality for all and celebrate the diversity and differences of our employees, customers, and communities. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Apex aims to make apexcos.com accessible to all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, please contact or (301) 417-0200. Likewise, feel free to reach out to us if you would like to view or discuss Apex policy related to equal employment opportunity or have any related concerns. EO/AA/VEV/Disabled Employer TO ALL RECRUITMENT AGENCIES: Apex Companies does not accept unsolicited agency resumes. Please do not forward resumes for any of our job postings to our career's sites, or to any employees of Apex Companies or affiliates. Apex Companies is not responsible for any fees related to unsolicited resumes.

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 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 * 1-3 years of experience from a top-tier economic consulting firm (Analysis Group, Cornerstone Research, Charles River Associates preferred) OR 1-3 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 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: $73K - $125K

Job Description Do you speak fluent CPT with a side of sass? Can you handle prickly provider chats with poise, streamline processes, and make overpayment trends tremble? Then you, my friend, are exactly who we need. Here's the vibe: We're not your average coding operations. We're the ones in the trenches, turning chaos into clarity, and making results art form. You'll be the spark behind smarter recoveries, cleaner audits, better support, and conversations that get results. What you'll need: • Jedi-level resilience when the provider gets spicy, • Intuition for what's missing-or what shouldn't be there, • Pattern-spotting skills that'd make a data scientist jealous, • Room to shine and show your strategic flair, • A crew that respects your insight (and your memes), • Challenges that keep you sharp and impact that feels real CPC designation and associate's degree required; bachelor's degree preferred Next steps? Apply, talk, and be ready to be amazed!

Job DescriptionSalary: $35 - $40 Are teamwork, inclusion, and growth important to you? Are you looking for an environment where departments work together to achieve success? Would you like to enjoy what you do and who you do it with? Then WELCOME to Monarch Diagnostics. You are our people! We are a leading diagnostics lab based in Addison, TX that is built on a strong foundation of teamwork. We are one team working to achieve a common dream. Our laboratory performs high complexity toxicology and molecular testing and are preparing to expand - that means we need YOU! We at Monarch Diagnostics are looking for a Medical Laboratory Scientist to join our team. Job Title: Medical Laboratory Scientist (Generalist) Company:Monarch Diagnostics Location: Addison, TX. Are teamwork, inclusion, and growth important to you? Are you searching for an environment where departments collaborate seamlessly to achieve collective success? Would you thrive in an atmosphere where you love the work you do and the people you do it with? Welcome to Monarch Diagnostics. Monarch Diagnostics stands as a premier diagnostic testing laboratory, specializing in high-complexity urine analysis, infectious disease testing, and drug screening services, with plans for expansion. Collaborating with partners of varying sizes, from individuals to corporations nationwide, we pride ourselves on our commitment to teamwork. Located in Addison, TX, we have established ourselves as a leading diagnostics lab, founded on a robust culture of collaboration. Position Overview: We are currently seeking a full-time Medical Laboratory Scientist who will focus on conducting high-complexity urine drug screens and confirmations on LC/MS instruments, as well as infectious disease testing. Potential to move full time. Qualifications: • Bachelor's degree in chemical, physical, biological, or clinical laboratory science, or medical technology from an accredited institution, • Minimum of 2+ years prior work experience in a laboratory certified under CLIA, • Strong communication skills, both verbal and written, • Utilize technical knowledge of laboratory testing and terminology to ensure accuracy in test results, • Execute the analysis and processing of data, and release patient test results in accordance with Standard Operating Procedures, • Conducts clinical molecular genetic testing for multiple workflows as well as high-complexity urine drug screens and confirmations on LC/MS instruments, • Adhere to and review the laboratory's quality control policies, emphasizing documentation of all quality control and quality assurance activities, • Evaluate test results for accuracy and assist in their interpretation for physicians, • Demonstrates knowledge in laboratory procedures, • Demonstrates knowledge and skill in multitasking and time management, • Communicate effectively and demonstrate attention to detail in cross-referencing information and prioritizing tasks, • Ensure that test result reports contain pertinent information required for patient interpretation, • Maintain compliance with laboratory policies for personal protective equipment (PPE), hazardous waste disposal, and IT security, • Participate in performing test method validation and verification runs for accuracy and precision, • Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications

Job Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. As a Data Scientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results. Key Responsibilities • Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools., • Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks., • Collaborate with data scientists to translate models into production-ready code., • Implement CI/CD pipelines and manage code repositories using GitHub Enterprise., • Design and optimize mathematical programming and machine learning models for real-world applications., • Work independently to break down complex problems into actionable development tasks., • Ensure code quality, scalability, and maintainability in a production environment., • Contribute to sprint planning, documentation, and cross-functional collaboration., • Collaborate, coach, and learn with a growing team of experienced Data Scientists., • 5 years of experience working as a Data Scientist, • Hands-on experience with enterprise data science solutions, preferably in retail, inventory management, or operations research., • Proficiency in Python, SQL, and PySpark., • Experience with Databricks or similar enterprise cloud environments., • Strong understanding of CI/CD principles and version control through GitHub Enterprise., • Experience defining and validating service contracts using Pydantic for data validation and API schema enforcement., • Experience with production-level coding and deployment practices., • Familiarity with basic machine learning techniques and mathematical optimization methods., • Proficient in data science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description Job Title: Data Scientist – Machine Learning, Big Data, GenAI (8–10 Years Experience) Location: Remote Employment Type: Contract About the Role We are seeking a highly experienced Data Scientist with 8–10 years of expertise delivering production-grade AI/ML solutions at scale. This role requires deep technical proficiency in Machine Learning, Big Data, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG), combined with hands-on cloud experience (AWS, Azure, or GCP) and migration expertise for modernizing data and AI platforms. The ideal candidate can lead projects end-to-end, from architecture design to deployment, while mentoring teams, optimizing for performance and cost, and ensuring alignment with business objectives. Key Responsibilities • Design, develop, and deliver end-to-end ML/AI solutions in cloud-native environments from design to deployment and monitoring., • Architect and implement Generative AI solutions leveraging LLMs (e.g., GPT, LLaMA, Claude, Mistral) and RAG pipelines with vector search., • Build and optimize Big Data pipelines using Apache Spark, PySpark, and Delta Lake integrated with cloud storage (AWS S3, Azure Data Lake, GCP Cloud Storage)., • Design and maintain data lakehouse architectures with Databricks, Snowflake, or Delta Lake., • Deploy scalable MLOps pipelines using MLflow, SageMaker, Azure ML, or Vertex AI with Docker, Kubernetes (EKS, AKS, GKE), and CI/CD., • Implement and manage vector databases (Pinecone, FAISS, Milvus, Weaviate, ChromaDB) for RAG applications., • Oversee ETL/ELT workflows and pipeline orchestration using Airflow, dbt, or Azure Data Factory., • Migration projects, on-prem to cloud, cross-cloud, or legacy platform upgrades (e.g., Hadoop to Databricks, Hive to Delta Lake) , ensuring data integrity and minimal downtime., • Integrate streaming data solutions using Apache Kafka and real-time analytics frameworks., • Conduct feature engineering, hyperparameter tuning, and model optimization for performance and scalability., • Mentor junior data scientists and guide best practices for AI/ML development and deployment., • 8–10 years in data science, machine learning, and AI/ML solution delivery., • Strong hands-on expertise in at least one major cloud platform (AWS, Azure, or GCP) with proven production deployments., • Proficiency in Python, PySpark, and SQL., • Proven experience with Apache Spark, Hadoop ecosystem, and Big Data processing., • Hands-on experience with Generative AI, Hugging Face Transformers, LangChain, or LlamaIndex., • Expertise in RAG architectures and vector databases (Pinecone, FAISS, Milvus, Weaviate, ChromaDB)., • Experience with MLOps workflows using MLflow, Docker, Kubernetes, and CI/CD tools (Jenkins, GitHub Actions, GitLab CI)., • Migration experience involving AI/ML workloads, big data pipelines, and data platforms to modern cloud-based architectures., • Knowledge of data services (AWS S3, Redshift; Azure Synapse; GCP BigQuery) and infrastructure-as-code (Terraform, CloudFormation, ARM templates)., • Familiarity with streaming technologies (Kafka) and query engines (Hive, Presto, Trino)., • Experience with knowledge graphs and semantic search., • Background in NLP, transformer architectures, and deep learning frameworks (TensorFlow, PyTorch)., • Exposure to BI tools (Power BI, Tableau, Looker)., • Domain expertise in finance, healthcare, or e-commerce.

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 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.

Title: Sr Data Scientist Duration: Long-term Location: Dallas, TX Job Overview We’re looking for a highly skilled and experienced Data Scientist to help lead this transformation. If you’re passionate about turning complex data into actionable insights, advancing the frontiers of anomaly detection, transformers, and Retrieval-Augmented Generation (RAG), and pushing the boundaries of what AI can do, this is your opportunity. Telecom experience is a must, but what matters most is your curiosity, creativity, and deep expertise in machine learning. Job Requirements: • Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related technical field from an accredited university, or equivalent work experience., • Minimum 8 years of relevant work experience., • Should have experience in Telcom Industry, • Strong experience in machine learning, deep learning, and AI frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn)., • Hands-on experience with RAG systems, transformers, and NLP models., • Expertise in anomaly detection techniques, including statistical and ML-based approaches., • Strong background in data preprocessing, feature engineering, and model evaluation., • Training/Pretraining/Fine-tuning LLMs and ML experience with large datasets., • Excellent problem-solving and analytical skills., • Networking technology background. Preferred Qualifications: • Advanced degree (MS/PhD) in Computer Science, Data Science, AI/ML, or a related field., • Familiarity with graph databases and knowledge graphs for information retrieval., • Contributions to research publications, open-source projects, or AI/ML communities., • Understanding of AI governance and implementation.

Driven by People. Powered by Opportunity. If you’re looking for a company that believes in building leaders, you’ve come to the right place. At Ensolum, you’ll sharpen your technical knowledge, manage and oversee projects, develop your leadership skills, and be encouraged to innovate. And you’ll do this while working alongside some of the best scientific and engineering experts in the industry. We’re hiring a Project Level Geologist, Environmental Scientist, or Environmental Engineer to work on-site in the Dallas, TX area. In this role, you’ll execute a variety of technical projects from simple to complex. You’ll spend time tabulating and analyzing environmental data, making recommendations based on applicable regulations, writing technical reports, and collaborating with others regarding project planning and execution, technical strategies, and project financials. Interested? Keep reading. Responsibilities As a project level professional at Ensolum, your day-to-day responsibilities will vary, and they will typically include: • Supporting contaminated materials management services located at DFW International Airport for terminal A and terminal C construction activities, and other projects as required, • Planning, coordinating, and performing soil and groundwater field investigations, • Performing environmental remediation oversight and sampling, • Conducting Phase I and Phase II environmental site assessments, • Reviewing and analyzing field and laboratory data, • Preparing environmental investigation work plans, reports, and feasibility studies, and other project documents; compiling tables, figures, maps, and cross-sections for technical deliverables, • Researching, interpreting, applying, and ensuring compliance with federal and state rules and regulations regarding environmental permitting, compliance, and remediation, • Managing field logistics, including scheduling, permitting, equipment readiness, and sample shipment, • Interfacing with clients and subcontractors, • Implementing and ensuring health and safety best practices, • Preparing proposals, cost estimates, and technical reports, • Managing projects within designated timeframes and budgets Qualifications We’re always looking for people who are self-motivated, learning-oriented, and client-centric. And to be considered for this role at Ensolum, you’ll also need a few more qualification requirements: • BS in Geology, Environmental Science, Engineering, or related field, • 5-10 years of experience with environmental field sampling, data collection, and report writing, • At least 2 years of experience managing environmental remediation projects and budgets, supervising project staff, and working with TCEQ Chapter 327 (Texas spill rules), and Chapter 350 – Texas Risk Reduction Program (TRRP), • Strong technical writing and communication skills, • Safety awareness and understanding of safe work practices, • Valid driver's license and safe driving record, • Proficiency with Microsoft Office suite, • Able to pass drug & alcohol screening and background check, • Current OSHA 40-hour HAZWOPER certification (or 8-hour annual refresher), • Legally authorized to work in the US without sponsorship Who we are: Ensolum [en-ˈsō-ləm] Derived from Latin roots: "en-" (within, inside) and "solum" (ground, soil). Noun: A company dedicated to providing innovative and sustainable solutions for environmental challenges through technical expertise in geology, environmental science, and engineering. Why our clients love us: Ensolum is a customer focused company that delivers environmental, health, safety, and industrial hygiene services. Ensolum offers comprehensive professional and field services to assess, prevent, and remediate environmental issues related to water, ground, air quality, and facilities. Blending superb technical skills with creativity and business savvy, we focus on reducing or eliminating environmental risks and liabilities economically and expediently. Ensolum’s mission is to combine sustainable environmental solutions with forward thinking, cost effective, innovative and value-added technologies that balance our clients’ economic resources and environmental challenges while providing our clients with a competitive advantage. How to apply: Submit your application along with your resume and pay requirements. If we’d like to find out more about your qualifications, we’ll contact you for a virtual or in-person interview. If not this time, we’ll hold onto your resume for consideration of future openings. Please note that you must be legally authorized to work in the US without sponsorship. Ensolum is an equal opportunity employer.

We are seeking a Data Scientist to support integrated operations by applying data science, machine learning, and artificial intelligence solutions to real-world business challenges. Familiarity with data visualization tools (e. This role partners closely with operational teams—including Network Op

About Brillio: Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. Senior Data Scientist \n Primary Skills • Sagemaker Studio, Vertex AI, Data Robot, SageMaker, Privacy (Federated Learning, Privacy preserving Algorithms), Model Provisioning: Kubernetes, Kibana, Databricks ML, Model Monitoring, Explainability (SHAPE, LIME, SHAPLEY), Azure ML, Bias Detection/Correction in Data, Big Query ML, Azure Synapse ML, Deployment Strategies (A/B, Blue green, Canary), Model testing, Integration testing, Domino Datalabs, Model Experimentation Job requirements • Agentic AI Lead, • Tampa, FL (Hybrid 3 days), • The Agentic AI Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation., • Key Responsibilities:, • Architecting & Scaling Agentic AI Solutions, • Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving., • Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains., • Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications., • Hands-On Development & Optimization, • Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability., • Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning., • Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making., • Driving AI Innovation & Research, • Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents., • Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions., • Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops., • AI Strategy & Business Impact, • Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings., • Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production., • Mentorship & Capability Building, • Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures., • Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents., • Required Skills & Experience, • ✅ Strong hands-on experience with LangGraph and multi-agent AI development, • ✅ Proficiency in LLM orchestration (LangChain, LlamaIndex, OpenAI Function Calling), • ✅ Expertise in reinforcement learning (RLHF, RLAIF) and self-improving AI agents, • ✅ Knowledge graph construction & RAG implementation for enhanced agent reasoning, • ✅ Experience deploying AI agents in production (GCP) \n$90,000 - $100,000 a year\n Know what it’s like to work and grow at Brillio: ___ Know what it’s like to work and grow at Brillio:

Familiarity with graph databases and knowledge graphs for information retrieval. Were looking for a highly skilled and experienced Data Scientist to help lead this transformation. If youre passionate about turning complex data into actionable insights, advancing the frontiers of anomaly detection, t

Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic and statistical techn

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:

Job Summary: Our client is seeking a Data Scientist to join their team! This position is located in Irving, Texas. Duties: • Research, prototype, and develop AI/ML solutions to build personalized systems, • Build, deploy, and analyze AI/ML solutions and perform statistical experiments when deploying new AI products, • Analyze and segment customer data and clearly visualize customer behavior to make product decisions, • Stay up to date with emerging technology and learn new technologies, libraries, and frameworks, • Learn and partner with peers across multiple disciplines, such as data, product, and systems design, • Deliver on time with a high bar on quality of research, innovation, and engineering Desired Skills/Experience: • Bachelor’s Degree in Computer Science, Engineering, Math, or relevant experience, • 4+ years of experience with statistical data science techniques, feature engineering, customer segmentation, etc., • 4+ years of experience with SQL, PySpark, and Python, • 4+ years of experience training, evaluating, and deploying Machine Learning models, • 4+ years of experience productionizing and deploying ML workloads in AWS or Azure, • 1+ years of experience leading and mentoring Data Scientists and delegating tasks to deliver complex projects, • Familiarity with containerized application tooling and deployments such as: Docker and Kubernetes, • Experience with the Databricks platform, • Experience building ML models with large amounts of structured and unstructured data Benefits: • Medical, Dental, & Vision Insurance Plans, • Employee-Owned Profit Sharing (ESOP), • 401K offered The approximate pay range for this position is between $55.00 and $79.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare.

Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques. Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling

Genesis10 is currently seeking an Application Programmer with our client in the financial industry located in Charlotte, NC and Addison, TX.This is a 12+ month contract position.Responsibilities include design, build and maintain document capture applications.Collaborate with a diverse set of partne

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

Job Opportunity At Synergisticit.Synergisticit is aware that the job market is challenging because of tech layoffs due to which the job market is flooded with hundreds and thousands of laid off jobseekers who are competing with existing jobseekers.For entry level job seekers to get client interviews

For more than 12 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.Here at SynergisticIT we just don't focus on getting you a tech job we make careers.

For more than 12 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.Here at SynergisticIT we just don't focus on getting you a tech job we make careers.

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

Job Opportunity At Synergisticit.Are you passionate about coding or technology and ready to make your mark in tech? For more than 14 years, SynergisticIT has been helping aspiring developers like you excel in the tech industry.We focus on equipping you with the skills and experience needed to not on

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.

Contribute to the broader data science roadmap and mentor teammates in data science best practices. We're seeking a Director Of Data Science to help us predict and plan for the future of Altruist's business. Data Scientist with at least 2 years managing a high performing data science team with a foc

In this market also our candidates get multiple job offers and $100k+ salaries.

We are seeking a highly skilled professional to design, build, and maintain document capture applications.The successful candidate will have a robust background in software engineering, with a focus on machine learning and natural language processing models, and familiarity with the latest advanceme

Job Opportunity At Synergisticit.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 at clients.Here at SynergisticIT we just don't focus on getting you a

We are seeking a dedicated professional responsible for designing, building, and maintaining document capture applications.This role requires a strong background in software engineering, experience in building Machine Learning (ML) and Natural Language Processing (NLP) models, and familiarity with G

Job Description Symbiotic Services is hiring on behalf of a pioneering client building next-generation smart bed technology. We’re seeking a Lead Embedded Systems Engineer to architect and drive the development of an intelligent, distributed IoT platform for sleep technology, featuring: • Hundreds of precision actuators for fine-grained mechanical control, • Wi-Fi-based device orchestration using MQTT publish/subscribe messaging, • Embedded Linux (Debian / Yocto) systems at the edge, • AI/ML-driven analytics pipelines for real-time sleep optimization This role is ideal for a senior-level Computer Scientist or Embedded Systems professional ready to replace a legacy Bluetooth-based control plane with a modern, horizontally scalable, Go-powered edge/cloud architecture. You’ll collaborate directly with a Dallas-based founder—an established leader in the furniture manufacturing space—while defining the embedded systems strategy from the ground up. What You’ll Lead System Architecture Ownership • Design and implement real-time MCU applications running on Debian or Yocto Linux distributions., • Define deterministic scheduling models and concurrency patterns for time-critical tasks. Core Application Development • Architect and maintain C/C++ and Go state machines, message brokers, and device control APIs., • Apply CS principles in distributed systems, message serialization, and protocol design. IoT System Modernization • Migrate from Bluetooth LE (BlueZ stack) to Wi-Fi + MQTT for robust, low-latency device communication., • Implement fault-tolerant reconnection strategies and QoS policies. Tooling and Testing Infrastructure • Build containerized cross-compilation toolchains and CI/CD-compatible hardware simulators., • Develop automated HIL (Hardware-in-the-Loop) test harnesses. Engineering Standards and DevOps • Define coding standards, code review guidelines, and branching strategies in Git., • Establish CI/CD workflows for embedded + cloud integration. Edge-to-Cloud Data Integration • Partner with data scientists to design pipelines for ingesting, storing, and analyzing time-series sensor data., • Support model deployment and feedback loops for on-device inference. Minimum Qualifications • B.S. in Computer Science, Computer Engineering, or equivalent discipline., • 5+ years professional experience in embedded firmware development (C/C++, ideally Go)., • Deep familiarity with embedded Linux internals (Debian or Yocto)., • Strong understanding of network protocols: TCP/IP, UDP, MQTT., • Expertise in multi-threaded and multi-process system design., • Proficiency with Git and modern CI/CD workflows., • Demonstrated initiative through side projects, open-source contributions, or research work. Preferred Skills • Docker-based embedded development workflows., • Python or Bash scripting for build/test automation., • Cloud IoT integration (AWS IoT, Azure IoT Hub, GCP IoT Core)., • Bluetooth LE / BlueZ experience for legacy support., • Hands-on debugging with oscilloscopes, logic analyzers, JTAG/SWD. Why This Role Stands Out • Architect-Level Impact: Own the embedded systems roadmap., • Cutting-Edge Tech Stack: Work at the intersection of embedded systems, IoT, and ML., • Industry-Backed Vision: Partner with a proven leader in manufacturing innovation., • R&D Time: 10% of your week dedicated to exploration and open-source projects., • Professional Growth: Clear trajectory toward principal/architect roles., • Learning Culture: Attend global events like GopherCon or Embedded World., • Team Synergy: Participate in quarterly offsites with cross-disciplinary teams. Apply Today If you’re ready to lead innovation in embedded systems and help redefine how people sleep, we’d love to hear from you.

We’re looking for a highly skilled and experienced Data Scientist to help lead this transformation. Training/Pretraining/Fine-tuning LLMs and ML experience with large datasets. Advanced degree (MS/PhD) in Computer Science, Data Science, AI/ML, or a related field.

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:

We’re looking for a highly skilled and experienced Data Scientist to help lead this transformation. Training/Pretraining/Fine-tuning LLMs and ML experience with large datasets. Advanced degree (MS/PhD) in Computer Science, Data Science, AI/ML, or a related field.

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

Job Opportunity At SynergisticIT.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 at clients.The tech job market has been affected by massive layoffs a