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Job DescriptionBenefits: • HYBRID, • Competitive salary, • Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work Authorization: Open to candidates authorized to work in the U.S. Interview Process: Video Interview followed by Client Interview We are seeking a talented Data Scientist to join our growing analytics team in Dallas, TX. The ideal candidate will have experience building predictive models, developing machine learning solutions, and transforming complex datasets into actionable business insights. will work closely with product, engineering, and business stakeholders to drive data-driven decision making and improve business outcomes. Key Responsibilities • Collect, clean, and integrate structured and unstructured data from multiple sources., • Build, train, validate, and deploy machine learning models for predictive analytics., • Design and execute A/B testing and statistical experiments to optimize products and business processes., • Develop automated dashboards and reports to monitor KPIs and business performance., • Perform exploratory data analysis to identify trends, patterns, and opportunities., • Present analytical findings and recommendations to technical and non-technical stakeholders., • Collaborate with cross-functional teams including Product, Engineering, Marketing, and Business Operations., • Optimize existing data science workflows and improve model performance., • Ensure data quality, governance, and best practices throughout the analytics lifecycle. Required Skills • 2+ years of professional experience as a Data Scientist., • Strong programming skills in Python or R., • Advanced SQL skills with experience querying complex relational databases., • Hands-on experience with machine learning frameworks such as:, • Scikit-Learn TensorFlow PyTorch, • Experience with statistical modeling, predictive analytics, and feature engineering., • Strong understanding of:, • Regression Analysis Hypothesis Testing Probability & Statistics, • Experience with data visualization tools such as:, • Tableau Power BI Matplotlib, • Excellent analytical, problem-solving, and communication skills. Preferred Qualifications • Experience working with cloud platforms such as AWS, Azure, or GCP., • Knowledge of data pipelines, ETL processes, and big data technologies., • Experience with MLOps, model deployment, and monitoring is a plus., • Familiarity with version control systems such as Git. Education • Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related quantitative field. Why Join Us? • Work on impactful machine learning and AI initiatives., • Hybrid work environment in Dallas, TX., • Collaborative, data-driven culture., • Opportunity to work with modern analytics and cloud technologies., • Competitive compensation and career growth opportunities. Flexible work from home options available.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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. We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision. Key Responsibilities • Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques., • Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs), • Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience., • Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value., • Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications, • Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives Requirements • 6-10 years of professional experience as a Data Scientist or in a closely related role, • Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques, • Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases, • Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI, • Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact, • Strong Communication: Ability to articulate complex technical concepts to both technical and non-technical audiences. Benefits 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. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Title: Senior Data Scientist Function: Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior Location: Addison, TX (5 days/week in-office) Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. Who We Are Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime®, helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. We are a lean team of approximately 40 people. Everyone rolls up their sleeves here, including this role. About the RoleWe are building and scaling a high-performance consumer lending platform and are looking for a Senior Data Scientist to drive credit decisioning across the loan lifecycle. This role sits at the intersection of credit strategy, fraud, and analytics, directly impacting approval strategy, loss performance, and portfolio profitability. You will build and deploy models that inform key decisions around who we approve, how we price risk, and how we manage portfolio performance. This is a hands-on, high-impact role suited for someone who is business-oriented, data-driven, and biased toward action, not just model development. You will partner closely with Credit, Fraud, Servicing, Product, and Engineering to translate data into clear, actionable decisions that improve approval quality, reduce early loss, and drive sustainable growth.What You'll Be Doing • Develop and deploy predictive models across the credit lifecycle (acquisition, risk, and collections) with a focus on improving approval quality and loss performance., • Translate model outputs and analysis into actionable credit strategy, including approval cutoffs, segmentation, and decision rules., • Analyze portfolio performance (FPD, delinquency, loss) to identify key drivers of deterioration and recommend targeted actions., • Evaluate tradeoffs between approval rate, loss, and profitability, and recommend strategies to optimize portfolio performance., • Distinguish fraud risk vs credit risk, improving early default performance and reducing losses., • Design and execute experiments (A/B tests, champion/challenger frameworks) to evaluate strategies and drive continuous improvement., • Work with Product and Engineering to implement decisioning logic into production systems and ensure accurate execution., • Monitor model and strategy performance over time, identifying drift, instability, or unintended impacts on portfolio outcomes., • Collaborate cross-functionally with other departments to ensure decisions align with business goals and risk appetite.What You Will Bring Required • Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field, • 5-7 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space., • Advanced proficiency in Python for programming, data analysis, and predictive modeling, • Proficiency in SQL, Excel and experience with data visualization tools, • Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models, • Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping, • Passion for keeping your skills up to date and exploring new methodologies, • The ability to distill complex problems and analysis into a clear and concise narrative Preferred, • Experience in subprime consumer lending, fintech, payments, or another regulated financial services technology environment., • Hands-on experience applying AI to credit risk managementBenefits & Perks Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: • Comprehensive healthcare including medical, dental, and vision coverage, • Generous paid time off, including PTO, sick time, and 13 company holidays, • 401(k) with company contribution, • Participation in annual discretionary bonus plan, • Regular team and company gatheringsBraviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionBenefits: • Competitive salary, • Flexible schedule, • Opportunity for advancement Sr Data Scientist (NLP / LLM / Generative AI) Location: Dallas, TX 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. This position is temporarily remote.

Job Description We are looking for candidates with strong engineering background, specifically in Cloud, Agentic AI, Python, and Google Cloud Platform (GCP). Position - Data Scientist – Engineering (Cloud & Agentic AI) Location - Dallas, TX (Onsite position) Long term position Pay rate - $45/hr on W2/Danta Technologies payroll. We cannot sponsor for this position. Looking for independent candidates. Looking for a strong individual contributor who can independently own and deliver end-to-end solutions with minimal guidance or support. Job Summary We are seeking a Data Scientist – Engineering (Cloud & Agentic AI) with strong software engineering and cloud development expertise. The ideal candidate will design, develop, and deploy scalable AI/ML solutions on Google Cloud Platform (GCP) using Python . This role focuses on building production-grade AI applications, integrating Agentic AI capabilities, and implementing modern DevOps and cloud engineering practices. Key Responsibilities • Design, develop, and deploy AI/ML applications using Python ., • Build scalable, cloud-native AI solutions on Google Cloud Platform (GCP) ., • Develop and maintain production-ready APIs, microservices, and AI workflows., • Integrate and optimize Agentic AI solutions using Large Language Models (LLMs)., • Implement CI/CD pipelines using Git and Jenkins for automated deployments., • Collaborate with engineering teams to build secure, scalable, and reliable cloud applications., • Optimize application performance, reliability, and cloud resource utilization., • Follow software engineering best practices, including code reviews, testing, version control, and documentation., • Stay current with emerging AI, cloud, and engineering technologies.Required Skills, • Strong programming experience in Python, • Hands-on experience with Google Cloud Platform (GCP), • Experience with Git and version control workflows, • CI/CD pipeline development using Jenkins, • Experience building Agentic AI or Generative AI applications, • Strong software engineering fundamentals, • Experience developing cloud-native applications and services, • Knowledge of REST APIs, microservices, and cloud deployment best practices Preferred Skills, • Experience with Vertex AI and GCP AI services, • Familiarity with AI orchestration frameworks such as LangGraph , LangChain , or CrewAI (nice to have), • Experience with Docker and Kubernetes, • Knowledge of MLOps and cloud-based AI deployment Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location. #ZR Company DescriptionDanta is a global organization having clients and resources in the USA, Canada, and India. We are a special, multi-tasking company that delivers a wide range of solutions to its clients in the United States and beyond the borders. We are a complete Staffing and Project solution provider that offers end to end solutions for it's clients.Danta is a global organization having clients and resources in the USA, Canada, and India.\r\nWe are a special, multi-tasking company that delivers a wide range of solutions to its clients in the United States and beyond the borders. We are a complete Staffing and Project solution provider that offers end to end solutions for it's clients.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai The Motion Planning team delivers the core module within the autonomy stack that makes decisions and generates trajectories for our self-driving trucks. As a research scientist working on Learnable Planner, you will invent new AI technologies that support scalable planning solutions enabling our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. You will...- Design and execute on a research agenda for deep-learning based motion planning for self-driving.- Leverage and advance the state-of-the-art in robotics and machine learning to enable safe self-driving at scale, with advanced techniques in imitation and reinforcement learning, planning and search, perception and prediction, simulation, foundation models and more.- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.- Champion engineering excellence, ensuring high-quality, well structured and tested code.- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog. Qualifications:- MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor’s students will also be considered.- Experience in planning/decision making approaches (e.g., imitation learning, reinforcement learning, optimal control, optimization based approaches, search methods, probabilistic decision making).- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.- Proficient in reading and coding in Python.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Previous experience in self-driving technology. - Experience deploying ML/DL models to a production motion planning or related robotics stack.- Proficiency in Pytorch, Rust, C++ and/or CUDA.The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Title: Operations Research (OR) Scientist Location: Dallas, TX Type: Contract (Only W2) Job Description: Work with OR&AA team members and IT partners to gather requirements, ask questions, and influence our product and business unit teams to deliver high value/impact features to our products. Works on the mathematical optimization model at the heart of a task assignment model adhering to some complex work rules • Formulate and maintain the MIP, • Translate real business rules into formulation with planners, • Drive the model through the FICO Xpress Java API, generate/inspect .lp files and solver logs., • Tune the solver; mip-gap, mip-abs-gap, threads, random seed, determinism; reason about branch-and-bound performance and runtime., • Keep the model solver-agnostic behind the LinearExpression / LinearConstraint / Sense / Sign abstraction so it stays testable and portable., • Validate & benchmark solutions, • Analyze data stored in Azure ADLS to debug the model and find issues; mine input/output datasets and solver logs to surface data-quality and infeasibility problems, derive insights, diagnose root causes, and resolve modeling bugs (e.g., bad defaults, constraint conflicts)., • Build and maintain the Streamlit dashboard (Python) that visualizes optimizer solutions - code and ship changes directly., • Work fluently with AI coding agents (Claude / Copilot / similar) to prototype and change models, scripts, and the dashboard fast without lowering the bar on correctness or code quality., • Partner closely as a team player with the Java engineer to productionize the model and with planners/SMEs to capture and verify rules; document assumptions and limitations. Top 3 Mandatory Skills and Experience (EX: education, software skills, licenses or certifications, etc.): 1. Mixed-Integer Programming (MIP) modeling; formulating real-world business rules as decision variables, linear constraints, and objectives; LP/IP theory; branch-and-bound intuition., 2. Commercial solver experience; FICO Xpress (strongly preferred) or Gurobi/CPLEX/OR-Tools/Hexaly, including solver tuning (gaps, threads, seeds, determinism) and reading solver logs /.lp files., 3. Programming to implement model & visualize model solutions; Java (the model lives in Java behind a solver abstraction); Python (incl. Streamlit for the dashboard); able to code and ship changes in both programming languages. Also required: comfortable using AI coding agents (Claude / Copilot) for fast changes; high coding standards; a collaborative team player (open to ideas/feedback, no solo work); a fast learner. (Education: MS/PhD in OR / IE / Applied Math / CS-optimization or equivalent.) Nice to Have Skills and Experience (preferred but not required): Java 21 / Spring Boot familiarity; clean/hexagonal model design (ports & adapters); TDD (JUnit 5) for optimization models (LP-file integration tests); scheduling/assignment/routing problem experience; heuristics/metaheuristics/CP as complements to MIP; data analysis & debugging; mining datasets (incl. Azure ADLS) and solver logs to find issues and derive insights; data wrangling (CSV/Excel/SQL); Git/GitHub, MongoDB Compass, Maven, Docker; aviation / MRO domain. Describe a great candidate that you are looking for and what skills and experience they will have: A hands-on optimization scientist who has shipped MIP models into production, not just notebooks. They can sit with a maintenance planner, extract fuzzy operational rules, and turn them into correct, well-scoped linear constraints then make the model solve fast enough to be useful (gap/seed/thread tuning, reformulation, branch-and-bound reasoning). They write maintainable, tested code behind a solver-agnostic abstraction, validate feasibility rigorously, and communicate trade-offs (objective design, soft vs hard constraints, default-value handling) to both engineers and business stakeholders. Genuine FICO Xpress (or Gurobi/CPLEX) depth is the rare, critical differentiator. They hold high standards for their code, are a collaborative team player (open to ideas and feedback, no solo work), use AI coding agents (Claude / Copilot) to iterate quickly, comfortably build/change a Streamlit dashboard, and are a fast learner. Perform analysis and derive insights from data. What is the team environment and structure like?: Part of the OR & Advanced Analytics (OR&AA) - TechOps/Mechanics squad. A cross-functional team of OR scientists, software engineers, and TechOps planning SMEs, working agile with strong engineering hygiene (PR review, Sonar/JaCoCo/PIT, TechDocs) governed by the AA AI Constitution (Spec-Driven + Test-Driven Development). High collaboration with Maintenance operations stakeholders. How will the resource(s) fit into your team?: They define the variables, constraints, and objective behind the abstraction layer and own solution quality and solver performance, while the Java engineer owns the surrounding service, data integrations, and deployment. Together they form the core "Java/Spring engineering + MIP optimization" pairing that makes this a specialized OR product team rather than a standard microservice squad. They also interface directly with Maintenance Planners to validate that optimizer output beats the manual baseline Company DescriptionThis position is for one of the big technology giant.This position is for one of the big technology giant.

Job Description To be noted: Due to the heightened security nature of this job, there will be a background check after two rounds before offer, then final interview with client. Please send US Citizen candidates. Role: Data Scientist Location: Grand-Prairie, Texas 75050 Work Model: Onsite (4 days a week work from office Mon - Thu) Duration: Fulltime Employee Numbers of Interview: 3 to 4 Mode of Interviews – Virtual Tentative start date – ASAP Note: Relocation assistance will be provided by Nagarro. USD $148,500 ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. (For the right candidate - please negotiate best, even if above $148,500, and submit) As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes: • Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents)., • 15 days of Paid Time Off (PTO)., • 10 paid holidays (including 8 fixed holidays and 2 floating holidays)., • 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution). Must Have: • 5+ years of experience required as Data Scientist (No limit for a right candidate), • Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure., • Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis. Job Overview: • Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake., • Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders., • Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment. Good to have skills: · 2-4 years working in manufacturing domain. · Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction. · Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency. • Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments., • Solid grounding in statistical methods — time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems. Powered by JazzHR 6YN2PCHqOY

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. We are seeking a highly skilled and experienced Senior Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions. Responsibilities: • Work on the latest applications of data science to solve business problems, • Work directly with client stakeholders to translate business problems into high level analytics solution designs, • Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value, • Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably, • Design and develop machine learning and Generative AI solutions using Databricks and Azure AI services., • Build LLM-powered applications and orchestrate workflows using LangGraph, • Develop agentic AI workflows for automation, insights generation, and decision support, • Implement Document Intelligence solutions for extracting insights from unstructured data, • Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights, • Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution Requirements • 8 - 10 years of professional work experience with at least 5 years in Data Science, • Proficiency in Python and SQL, • Practical exposure to Banking/ Retail , supply chain domain problems such as logistics, distribution networks, or demand planning., • Experience with MLflow , NLP and model lifecycle management, • Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications, • 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.), • Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes, • Experience building end-to-end ML pipelines in production, • Familiarity with CI/CD pipelines, monitoring, and model governance, • Ability to design scalable and reliable AI systems, • Bachelor's in Business Analytics or equivalent work experience. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility. 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. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job DescriptionBenefits: • HYBRID, • Competitive salary, • Opportunity for advancement, • Training & development Job Title: Data Scientist – Integrated Operations Location: Dallas, TX (Hybrid Remote) In-Person Interview Must be authorized to work in the U.S Work Arrangement • Hybrid work model: primarily remote within the Dallas–Fort 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. .....

statistics & Mathematicsdata handlingdata collectingdata analysis and modelingdata visualizationdata clesningprogrammingmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Job Title: Data Scientist Job Type: Contractor Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: • Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis., • Develop, validate, and implement statistical models to extract actionable insights from complex data., • Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement., • Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders., • Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery., • Continuously improve analytical methodologies and automation processes to enhance data workflows., • Communicate effectively in both written and verbal formats, ensuring clarity and impact of data-driven recommendations. Required Skills and Qualifications: • Expertise in statistics, mathematics, and data analysis techniques., • Proven experience in collecting, handling, and cleaning large, complex data sets., • Proficiency in programming languages such as Python, R, or similar for data manipulation and modeling., • Strong data modeling skills with experience in building and validating predictive models., • Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries., • Meticulous attention to detail and commitment to data quality at every stage., • Excellent written and verbal communication skills, with an emphasis on clarity and precision. Preferred Qualifications: • Experience working in a remote, cross-functional, or customer-focused team environment., • Background in developing and deploying machine learning solutions in production settings.

$80 - $130/hourpaymaterials science expertisematerials characterizationtechnical literature reviewscientific data interpretationclear written and verbal communicationremote collaborationannotating technical datasetsscenario and case study developmentquality assurance in scientific deliverablesanalytical skillsmicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Materials Scientist / Engineer Role Type: Contractor Location: Remote micro1 is engaging Materials Scientists / Engineers to contribute their technical expertise to a customer’s advanced materials project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Analyze and interpret scientific data from experimental results, technical datasets, and research publications in materials science and engineering., • Conduct comprehensive technical literature reviews to identify key advances, methodologies, and challenges in materials characterization and related fields., • Annotate and structure technical datasets with precise, detailed commentary and context to support AI model training., • Develop realistic scenarios and case studies that represent practical applications and challenges within materials engineering, metallurgy, or related sectors., • Provide clear, well-organized written and verbal explanations of materials phenomena, properties, and scientific reasoning., • Review and assure the quality, consistency, and accuracy of scientific deliverables submitted for project milestones., • Collaborate remotely with other scientific contributors, leveraging digital tools and documentation practices. Preferred Qualifications • MS or PhD in Materials Science & Engineering, Metallurgy, Mechanical Engineering, Chemical Engineering, or a related discipline with a materials specialization., • Demonstrated expertise in materials characterization techniques (e.g., microscopy, spectroscopy, mechanical testing)., • Strong analytical skills and experience interpreting complex scientific data., • Substantial experience conducting technical literature reviews and summarizing key findings., • Proven ability to communicate complex technical concepts clearly, both in writing and verbally, to diverse audiences., • Experience with quality assurance and review of scientific documents or datasets., • Familiarity with remote collaboration tools and digital knowledge-sharing environments. Compensation Structure Compensation is output-based; experts are paid per task that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply. Experts must submit a minimum of tasks per week. Start Timeline & Availability We typically fill roles within 48 hours and are looking for experts ready to jump in right away. If selected, we expect you to start your first tasks within 24–48 hours of completing onboarding.

$80 - $150/hourpayPhysics MasteryWritten Technical CommunicationCritical Evaluation & Error DetectionCalibrated Technical JudgmentVerification & Cross-Checking Fluencymicro1 is the leading AI data lab for training frontier models and evaluating AI agents. Experts contribute their diverse subject matter knowledge across domains such as finance, healthcare, STEM engineering, and more. micro1 transforms that real-world expertise into high-quality training data, evaluations, and feedback loops that improve how AI systems learn, reason, and perform. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality expert contributions at scale. We aim to enable 1 billion people to do meaningful work by applying their expertise to AI. As our global expert network grows, micro1 is building the human intelligence layer for frontier AI. Role Title: Physics Expert (Postdoc / Junior professor) Role Type: Contractor Location: Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to participate in a high-impact project supporting a customer in the science and technology sector. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work • Critically evaluate and review physics solutions, mathematical derivations, and theoretical arguments generated by researchers or AI platforms., • Detect errors, unjustified steps, missing assumptions, dimensional inconsistencies, and weaknesses in logic or methodology., • Delineate between substantive scientific issues and stylistic or cosmetic matters, providing technically precise written feedback., • Articulate and document the reasoning behind any identified flaws, ensuring actionable guidance for improvement., • Recognize when correct reasoning can be optimized, and offer suggestions to sharpen or clarify the argument., • Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific claims as appropriate., • Deliver structured feedback designed to support iterative enhancement of submitted work and project outcomes. Preferred Qualifications • PhD in physics and an active record of independent research within a specialized subfield (e.g., High Energy/Mathematical Physics, Biophysics/Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation/Cosmology, Quantum Information, or Optical Materials)., • Experience as a postdoctoral researcher, research fellow, junior/assistant professor, or senior research scientist., • Recent (last ~5 years) representative publications in the relevant subfield, with arXiv or DOI links., • Advanced proficiency with LaTeX, SymPy, Python, and Jupyter for theoretical modeling and computational validation., • Demonstrated skill in reviewing the work of others—through peer review, supervision, dissertation committees, or group seminars., • Exceptional written communication skills with the ability to convey nuanced, constructive feedback with technical rigor., • Reliable access to high-speed internet and a computer suitable for rigorous technical work.

A global consulting firm is seeking a Data Scientist – Director to lead innovative AI solutions that power strategic growth initiatives. This role involves building and scaling data pipelines, collaborating with leadership, and utilizing cloud-native infrastructures. Candidates should have strong proficiency in SQL and Python, with a focus on data engineering. Competitive salary in a hybrid work environment. #J-18808-Ljbffr

Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. Potential Responsibilities Future projects may involve: - Designing precise, task-specific grading criteria for data science deliverables, including exploratory data anal

Description:Amazon Web Services (AWS) is seeking a world-class Principal AI Scientist to lead cutting-edge research and development at the intersection of artificial intelligence and telecommunications network infrastructure. In this role, you will pioneer AI-native approaches to network modeling, reasoning, and optimization — shaping how the world’s largest telecommunications operators harness AI to build, operate, and evolve next-generation networks.You will serve as the technical thought leader for network-domain AI science within AWS’s telecommunications practice — defining strategy, driving research, and delivering production-ready solutions that unlock transformative business value for Tier-1 operators. This includes developing novel network models, ontologies, and AI architectures purpose-built for the telecommunications domain, and translating them into scalable offerings on the AWS platform.This is a high-visibility role requiring deep hands-on expertise in building, training, and evaluating AI/ML models at scale, combined with mastery of telecommunications network architectures, protocols, and data systems. You will drive AI-Native 6G co-development with customers and represent AWS as a thought leader in global industry forums.Key job responsibilities• Lead end-to-end research and development of AI models for telecommunications networks — from architecture design, training methodology, and evaluation through optimization and production deployment on AWS.• Design and develop network ontologies, knowledge graphs, and semantic representations that enable AI systems to reason over complex, multi-vendor, multi-domain network topologies.• Develop and apply graph neural networks (GNNs), foundation models, transformer architectures, and other advanced AI techniques to network telemetry, configuration, and operational data.• Drive AI-Native 6G co-development with Tier-1 telecommunications operators — translating their network AI challenges into research programs, proof-of-concept engagements, and scalable production solutions.• Represent AWS as a technical thought leader in global industry forums and standards bodies — shaping the direction of AI for networks, publishing research, and positioning AWS as the platform of choice.• Build deep partnerships with AWS Service Teams to integrate network AI capabilities into the broader AWS AI/ML and infrastructure platform.• Author and deliver strategic narratives, science papers, and technical documents for AWS leadership and customer executives.• Design privacy-preserving, distributed model training approaches that enable operators to leverage sensitive network data without centralization.• Collaborate across a multidisciplinary team to support customer engagements, industry co-innovation programs, and developer scaling initiatives.• Mentor and influence a community of Solutions Architects, Field Development Engineers, and partner engineers on AI/ML best practices for telecommunications.A day in the lifeYou start your morning reviewing results from a model training run on network telemetry data. By mid-morning, you’re whiteboarding a novel architecture with AWS service team engineers. After lunch, you join a call with a Tier-1 operator’s CTO to scope a joint research initiative on autonomous network operations. In the afternoon, you draft a section of a strategic narrative for leadership, translating your research into business impact. You end the day reviewing a paper submission for an industry working group — knowing your science is shaping how the world builds 6G networks.About the teamThis role sits within AWS’s Telecommunications practice, working at the frontier of AI-Native networking with Tier-1 global operators. The team co-develops next-generation network AI solutions in partnership with the world’s leading telecommunications companies and industry bodies, spanning network intelligence, autonomous operations, and 6G research.This is a high-impact position with direct access to AWS leadership and senior customer executives. You will shape a multi-year technology and business strategy driving bleeding-edge data and AI research and development for the telecommunications industry.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Basic qualifications- 10+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- Bachelor's degree in computer science, engineering, mathematics or equivalent- Experience developing technology solutions and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publicationsPreferred qualification - Knowledge of distributed systems design and implementation or equivalent- Knowledge of large scale automation and workflow management or equivalent- Knowledge of database design and implementation or equivalent- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers- Experience architecting, migrating, transforming or modernizing customer requirements to the cloudAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .USA, CA, Cupertino - 210,200.00 - 284,300.00 USD annuallyUSA, NY, New York - 201,000.00 - 272,000.00 USD annuallyUSA, TX, Dallas - 182,800.00 - 247,300.00 USD annuallyUSA, WA, Bellevue - 182,800.00 - 247,300.00 USD annually

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. National Tax - Federal Tax Advisory (FTA) (EY EDGE) (Data & Technology) (Manager) (Multiple Positions) (1724612), Ernst & Young U.S. LLP, Dallas, TX. Work within technology tools and proprietary EY software and review generated reports for completeness and accuracy. Consult with regional teams to create custom data normalization, cleansing and transformation solutions for raw client data. Consult with regional teams to create and oversee implementation of custom research credit surveys to gather required detail for research credit studies. Assist regional teams in completing research credit and depreciation calculations. Develop and implement new technology solutions/methodologies to automate existing processes and data transformation steps. Develop and implement ideas and concepts to improve EY R&D Incentives Prodigy. Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities. Full time employment, Monday - Friday, 40 hours per week, 8:30 am - 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Accounting, Business, Computer Science, Economics, Engineering, Finance, Information Technology, Mathematics, Tax or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Accounting, Business, Computer Science, Economics, Engineering, Finance, Information Technology, Mathematics, Tax or a related field and 4 years of related work experience. Must have 4 years of experience with client data transformation and depreciation and research credit tax calculations using at least 1 of the following technology tools: Excel, Access, Alteryx, fixed asset depreciation software and/or EY's proprietary research credit platform, EY R&D Incentives Prodigy. Must have 4 years of experience in at least 1 or a combination of the following: a professional services firm, an industry position, or a mid-sized/regional to large sized/national public accounting firm. Must have 4 years of experience in at least 2 of the following analytics tools: Microsoft Power BI suite (including Power Pivot, Power Query, Power View and Power Map), Alteryx, SAP Business Objects, and/or Microsoft SQL Server Reporting Services. Must have 2 years of experience identifying risks and issues to the larger project and timeline based on work being completed, escalating to the larger team, drafting communication to describe research credit-related activities, and compiling documentation related to analysis. Must have 2 years of experience supervising teams consisting of at least 2 people on multiple projects and providing direction to team members. Must hold at least one of the following certifications/accreditations: Master's degree in Business Administration, Economics, Finance, Computer Science, Information Systems or Engineering; Certified Member of the Institute for Professionals in Taxation (CMI); Chartered Professional Accountant (CPA) or foreign equivalent; Certified SAFe Professional; Chartered Financial Analyst (CFA); Microsoft Certified Azure Fundamentals; Microsoft Certified DevOps Engineer Expert; Microsoft Certified Azure Developer; Microsoft Certified Azure Solutions Architect; Microsoft Certified Azure Data Engineer; Microsoft Certified Azure Data Engineer; Microsoft Certified Azure Data Scientist; SQL Server Database Certification; Microsoft Certified Power Platform App; Microsoft 365 Certified Developer Associate; Alteryx Designer Core and Advanced Certification; Data Camp Data Science Certification. Requires domestic travel up to 10% to serve client needs. Employer will accept any suitable combination of education, training, or experience. Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search", "See All", then "Experienced Professionals" (Job Number - 1724612). What we offer We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $141,773.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. - Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. - Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. - Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. - Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY's Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com. This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. National Tax - Federal Tax Advisory (FTA) (EY EDGE) (Data & Technology) (Manager) (Multiple Positions) (1724612), Ernst & Young U.S. LLP, Dallas, TX. Work within technology tools and proprietary EY software and review generated reports for completeness and accuracy. Consult with regional teams to create custom data normalization, cleansing and transformation solutions for raw client data. Consult with regional teams to create and oversee implementation of custom research credit surveys to gather required detail for research credit studies. Assist regional teams in completing research credit and depreciation calculations. Develop and implement new technology solutions/methodologies to automate existing processes and data transformation steps. Develop and implement ideas and concepts to improve EY R&D Incentives Prodigy. Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities. Full time employment, Monday - Friday, 40 hours per week, 8:30 am - 5:30 pm. MINIMUM REQUIREMENTS: Must have a Bachelor's degree in Accounting, Business, Computer Science, Economics, Engineering, Finance, Information Technology, Mathematics, Tax or a related field and 5 years of progressive, post-baccalaureate related work experience. Alternatively, will accept a Master's degree in Accounting, Business, Computer Science, Economics, Engineering, Finance, Information Technology, Mathematics, Tax or a related field and 4 years of related work experience. Must have 4 years of experience with client data transformation and depreciation and research credit tax calculations using at least 1 of the following technology tools: Excel, Access, Alteryx, fixed asset depreciation software and/or EY's proprietary research credit platform, EY R&D Incentives Prodigy. Must have 4 years of experience in at least 1 or a combination of the following: a professional services firm, an industry position, or a mid-sized/regional to large sized/national public accounting firm. Must have 4 years of experience in at least 2 of the following analytics tools: Microsoft Power BI suite (including Power Pivot, Power Query, Power View and Power Map), Alteryx, SAP Business Objects, and/or Microsoft SQL Server Reporting Services. Must have 2 years of experience identifying risks and issues to the larger project and timeline based on work being completed, escalating to the larger team, drafting communication to describe research credit-related activities, and compiling documentation related to analysis. Must have 2 years of experience supervising teams consisting of at least 2 people on multiple projects and providing direction to team members. Must hold at least one of the following certifications/accreditations: Master's degree in Business Administration, Economics, Finance, Computer Science, Information Systems or Engineering; Certified Member of the Institute for Professionals in Taxation (CMI); Chartered Professional Accountant (CPA) or foreign equivalent; Certified SAFe Professional; Chartered Financial Analyst (CFA); Microsoft Certified Azure Fundamentals; Microsoft Certified DevOps Engineer Expert; Microsoft Certified Azure Developer; Microsoft Certified Azure Solutions Architect; Microsoft Certified Azure Data Engineer; Microsoft Certified Azure Data Engineer; Microsoft Certified Azure Data Scientist; SQL Server Database Certification; Microsoft Certified Power Platform App; Microsoft 365 Certified Developer Associate; Alteryx Designer Core and Advanced Certification; Data Camp Data Science Certification. Requires domestic travel up to 10% to serve client needs. Employer will accept any suitable combination of education, training, or experience. Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search", "See All", then "Experienced Professionals" (Job Number - 1724612). What we offer We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $141,773.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. The exceptional EY experience. It's yours to build. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. For those living in California, please click here for additional information. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, type Option 2 (HR-related inquiries) and then type Option 1 (HR Shared Services Center), which will route you to EY's Talent Shared Services Team or email SSC Customer Support at ssc.customersupport@ey.com. This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do but also about each other. We are the makers, problem solvers, and future world builders who are creating Data Science, Data Scientist, Technical Analyst, Analyst, Science, Technical Support, Manufacturing

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 founderan established leader in the furniture manufacturing spacewhile 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.

Boston, Chicago, New York, Dallas, Toronto, Montreal Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. The Role and Responsibilities Our clients drive our projects and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: • Exploring data, building models, and evaluating solution performance to resolve core business problems, • Explaining, refining, and collaborating with stakeholders through the journey of model building, • Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies, • Advocating application of best practices in modelling, code hygiene and data engineering, • Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development, • Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities Your Experience & Qualifications You are a well-rounded technologist who brings a wealth of real-world experience and: • Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science, • Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including:, • Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.), • Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably, • Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly, • Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including:, • Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc., • Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome, • A history of compelling side projects or contributions to the Open-Source community is valued but not required, • Solid theoretical grounding in the mathematical core of the major ideas in data science:, • Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.), • Fluency in the mathematical principles and generalizations of data science e.g., Statistics, Linear Algebra and Vector Calculus, • Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued, • Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries Your Attributes Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: • An undergraduate or advanced degree from a top academic program, • A genuine passion for technology and solving problems, • A pragmatic approach to solutioning and delivery, • Excellent communication skills, both verbal and written, • A clear commitment to creating impactful solutions that solve our clients' problems, • The ability to work fluidly and respectfully with our incredibly talented team, • Willingness to travel for targeted client and/or internal stakeholder meetings Our Values & Culture We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. • Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition., • Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time., • Enjoyable days We want our team members to build a career hereand to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time., • Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. How To Apply If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. The applicable base salary range for this role is $150,000 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs

Onsite - Dallas, TX (5 days a week) Need local candidates to Dallas 4 rounds interview 1st round Vetsmith 2nd Round Technical Discussion (Turing) 3rd round half an hour technical connect with client (Zoom) 4th round in person interview at Dallas, TX Essentially looking for an analytic mind, to strategically create and drive not just insights sought by business but think/act beyond the mere essentials. Intuitive understanding of ML algorithms and faith in their application is needed. We use a programming-language-agnostic ML workspace to version/deliver code. What you'll do • Proven functional experience in generating quick and sturdy business insights using standard tools and frameworks, potentially across various tech stacks including open source, • Work closely with data and software engineers to provide robust and sustainable business intelligence, • Visual thinking of outputs, as Tableau/Power BI/Streamlit, etc dashboards. Crispness in communicating the outputs is necessary, • Strong coding skills in R and Python; and scripting in SQL and MS Excel. Any other relevant programming language skills like Java, Scala, Julia, etc would be gladly welcomed, • Dependable hands-on skills in sourcing, cleaning, manipulating and analyzing large volumes of data optimally, • Demonstrable experience in supervised and unsupervised learning from regression, forecasting, classification, to NLP, decision and search algorithms What you'll need • Being an analytics-focused role, this job mandates clear understanding of frameworks/tools to create reproducible and valid insights while slicing and dicing the data for various needs across the business lines, • Wrapping data insights into narratives and visualizations are great-to-haves. Familiarity with interpretable/explainable machine learning and causal inference is nice to have, • Must have anywhere between 4-6 years of impactful experience in creating data-driven products and productionizing ML models, while being mindful of data pipelines, • Bachelor's degree (BA/BS) in disciplines such as mathematics (pure/applied), statistics, computer science/engineering, information systems or any other scientific discipline along with relevant experience. Or a Masters/PhD with lesser, but applicable, experience is ideal. Nonetheless, an analytic conviction in all the outputs is naturally essential

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 only secure a job but to thrive in your career! Why Partner with SynergisticIT? • Customized inputs to achieve the desired output: designed with industry needs in mind, ensuring you're equipped with the most sought-after skills., • Exclusive Opportunities: Our extensive network allows you to connect with leading tech firms., • Outstanding Outcomes: Many of our candidates land multiple job offers, often with starting salaries of $100k or more! Synergisticit Pics /Salaries of Successful Candidates Synergisticit at Oracle Cloudworld 2023 Synergisticit at Gartner Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Who Should Apply? We're looking for recent grads in Mathematics, Statistics, Computer Science or Engineering or candidates with gaps in their career or people wanting to switch careers into tech. SynergisticIT is committed to supporting your journey! Preferred SKILLS For Java /Full stack/Devops Positions Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Knowledge of Core Java, javascript, C++ or software programming Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API's experience For data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant experience can research our Job Placement Programs which can assist in landing a Job If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates Embrace Your Future! We also assist with F1 OPT to transition into H1B and Green Card by providing comprehensive support. All positions are open to candidates of all visa types and US citizens. Are you ready to make an impact?

Position Summary The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! Recruiting for this role ends on May 31, 2027. What you'll do As a Senior Consultant in Deloitte's Legal Business Services team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency by leveraging numerous applications. Responsibilities include: Client Management: Participate in the day-to-day interactions with client's project team members and Deloitte project leadership members. Delivery: Work with a team to optimize tax and legal process, leveraging technology to align tax and legal software with the clients' specific requirements and goals. Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments. Support: Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes. Project Management: Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Participate in the development of team members. Business Development: Participate in and contribute to pursuit teams. The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting and planning, while also positioning tax as a strategic business advisor for the digital era. We specialize in tax and can effectively address a corporate tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, tax portal, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Qualifications Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week 3+ years' experience with legal and/or technology solutions Bachelor's degree in technology, business, accounting, legal or related field Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration Limited immigration sponsorship may be available Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve One of the following active accreditations obtained, in process, or willing and able to obtain: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) Procurement/Legal Procurement or SAS Certified Data Scientist Paralegal Certification with a 4-year degree Technical Certifications: Six Sigma (Black Belt and Green Belt) DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Thomson Reuters (Legal Tracker, High Q, or Contract Express) Preferred: Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,350 to $205,000. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 352993 Job ID 352993

Pay: $55/hr W2 Location: Dallas, TX - hybrid 2 days per week GC, USC, H4, L2 EAD only We are looking for QA Engineer II for 6 months contract Description: • Experience of working with cross-functional teams and implementing automation frameworks, preferably in Salesforce applications., • Experience of designing and developing Web and Mobile automation frameworks with tools such as Selenium, Playwright, Java, Javascript, Appium or equivalent technologies, • Automation of Web and Mobile applications built on Angular JS, React, React Native and micro front end/microservices based architecture, • Strong understanding of TDD (Test Driven Development) and BDD (Business Driven Development), • Extensive experience in API testing and automation using open-source testing frameworks like RestAssured, Karate etc.

What We Do:At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.Who We Look For:Goldman Sachs has a unique and differentiated set of data, including proprietary content, analytics, and research; leveraging these unique datasets and content will enable the firm to double down on its existing strengths and harness the power of Generative AI.Goldman Sachs is seeking Generative AI Engineer to join our dynamic GenAI and DocAI organization. As an integral part of the team, you will play a pivotal role in driving the adoption of cutting-edge Generative AI technologies at the firm interacting directly with our business.In this role, you will have the opportunity to contribute to various Generative AI domains, including boosting developer productivity with Retrieval-Augmented Generation (RAG) pipelines and knowledge graphs for information retrieval. As an AI Scientist, you will help address the unique challenges that arise in generative AI systems within the financial domain and contribute to the development of Goldman’s AI Assistant to empower our business.Your responsibilities will include:Collaborating effectively with colleagues to build an AI enabled platform for Document Digitization.Conceptualizing, experimenting with, and assessing AI-based software systems.Developing, testing, and maintaining high-quality, production-ready code.Demonstrating technical leadership by taking charge of cross-team projects.Developing and deploying services in cloud native environment.Contributing to boost developer productivity with Generative AI.Required Qualifications:A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.A minimum of 5 years of experience in the industry that demonstrates your expertise.Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.Proficiency in contemporary programming languages like Python, C++, or Java.ABOUT GOLDMAN SACHSAt Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.htmlPosting Date: 2026-04-15

Reference & Transfusion - Medical City - Dallas, TX 75230 Position Type: Full Time Job Shift: Nights Education Level: 4 Year Degree Category: Health Care The shift for this position is Sunday-Tuesday 5:30 PM - 6:00 AM. Principal Accountability: The Medical Laboratory Scientist Blood Banker (MLS-BB) participates in all activities within Reference & Transfusion (R&T) Services, including performing testing and services associated with assigned departmental duties within the scope of complexity defined by accrediting agencies, and participating in competency, proficiency, and educational activities. Through these responsibilities, the MLS-BB ensures daily R&T laboratory operations meet all established regulatory and quality standards, deliver excellence in transfusion services, and support the needs of all R&T customers. The MLS-BB exemplifies and champions Carter BloodCare (CBC) Core Values and Code of Conduct, and adheres to CBC policies and applicable Standard Operating Procedures (SOPs). To support ongoing development and organizational goals, the MLS-BB is required to attend meetings and training sessions, as assigned. The MLS-BB maintains active and current professional licensure and/or certifications, as required by role-specific regulations and organizational requirements. Periodic travel between assigned work areas to support other locations/projects in CBC service regions, as well as to attend in-services, training, and meetings, is required. This position may require working varied shifts, extended hours, weekends, and/or overtime to support operational needs. Regular full-time attendance is required during normal working hours. Education: • Bachelor's, Master's, or Doctoral Degree from an accredited institution, in Medical Technology, Medical Laboratory Science, Clinical Laboratory Science, Chemical, Physical, or Biological Science, as outlined in 42 CFR 493.1489(b), • Medical Laboratory Scientist (MLS) Board Certification: MLS(ASCP), BB(ASCP), MLS(AMT), or equivalent Board Certification and participation in the CME program, if applicable and required by the accrediting agency; or,, • Recent graduate from an accredited MLS program within the last five years and is currently Board-eligible Note: Must successfully obtain and maintain Board Certification (e.g., MLS(ASCP) or equivalent) and provide Board Certification documentation to the CBC Human Resources Department within 12 months of the hire date. Experience: • Prior clinical laboratory experience, including rotations via an accredited MLS program, • Recent immunohematology laboratory experience, including rotations via an accredited MLS or equivalent program, preferred, • Maintains strong working knowledge of blood banking policies, procedures, and applicable accrediting and regulatory requirements, • Applies critical thinking and problem-solving skills to analyze complex situations, identify solutions, and provide clear guidance to internal and external customers, including appropriate documentation of issues and resolutions, • Communicates effectively, both verbally and in writing, with diverse audiences, ensuring information is conveyed clearly, accurately, and professionally, • Demonstrates strong interpersonal and customer service skills, building effective relationships that promote trust, collaboration, and positive outcomes, • Understands, interprets, and applies verbal and written instructions, guidelines, and technical information in a consistent and accurate manner, • Utilizes laboratory mathematics and data analysis skills to compute, interpret, and report numerical data accurately, • Demonstrates strong organizational skills, with the ability to prioritize workload, maintain attention to detail, and ensure consistent follow-through, • Exercises sound judgment and decision-making, with awareness of the impact on departmental operations, service quality, and compliance Physical/Mental Stress Factors: • Stress associated with exposure to potential biohazard areas, materials, blood, body fluids, chemicals, and cleaning solutions (OSHA Job Category I), • Ability to sit or stand for extended periods of time, • Ability to perform repetitive motion (e.g., typing, pipetting, tube shaking), • Ability to detect red blood cell agglutination, discern mixed field reactivity, and/or distinguish the difference between colors and shades of colors, • Mental stress due to high customer service demands and working with strict deadlines; Ability to exchange and document accurate information and perform testing under these high-stress and emergent conditions, • Ability to multitask effectively to meet patient and inventory availability needs; Ability to establish appropriate priorities, to recognize and do what needs to be done, without direction; Ensures work is completed efficiently and supports teamwork and cooperation with co-workers and peers, • Occasionally moves supplies weighing up to 40 pounds (with assistance, if needed), • Ability to frequently move around the lab and between other departments at CBC, • Stress associated with working overtime, holidays and being On Call/Call Back, as needed, • Stress associated with an overnight stay in a location provided by CBC during inclement weather and/or disaster situations, as deemed necessary by the R&T management team Carter BloodCare is an EEO/Affirmative Action employer. Carter BloodCare provides equal employment opportunities (EEO) to all employees and applicants and will not discriminate in its employment practices due to an employee's or applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, genetic, and veteran or disability status. In addition to federal law requirements, Carter BloodCare complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. Carter BloodCare is a Pro Disabled & Veteran Employer. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

The Nurse Scientist serves as a strategic leader and research expert dedicated to advancing evidence-based nursing practice across Baylor Scott & White Health. This role partners with nursing leadership, clinical teams, and interdisciplinary stakeholders to cultivate a culture of inquiry, innovation, and continuous improvement through nursing research. The Nurse Scientist mentors and educates nurses throughout the research processfrom identifying clinical questions and developing research studies to disseminating findings and implementing evidence-based practice changes. This position is instrumental in engaging nursing leaders and frontline staff, building research capabilities, promoting professional development, and translating research into meaningful improvements in patient outcomes and nursing practice. • Partner with nursing executives, directors, managers, educators, and frontline staff to identify clinical priorities and develop nursing research initiatives aligned with organizational goals., • Mentor nurses and interdisciplinary teams through all phases of the research process, including study design, protocol development, Institutional Review Board (IRB) submissions, implementation, data collection, analysis, and dissemination of results., • Develop and deliver education, workshops, and training programs that build nursing research knowledge, evidence-based practice competencies, and scholarly engagement., • Foster a culture of research, inquiry, and innovation by encouraging participation in nursing research and quality improvement initiatives., • Collaborate with nursing leaders to integrate current evidence and research findings into clinical practice, policies, and patient care standards., • Evaluate emerging evidence and best practices to identify opportunities that improve quality, patient outcomes, and operational effectiveness., • Lead or support publication efforts, conference presentations, and dissemination of research findings internally and externally., • Assist with identifying grant opportunities and developing competitive grant proposals to support nursing research and innovation., • Ensure all research activities comply with regulatory requirements, ethical standards, and Institutional Review Board (IRB) guidelines., • Build collaborative relationships with physicians, academic institutions, interdisciplinary departments, and external research partners to advance nursing science., • Serve as a subject matter expert and resource for evidence-based practice, nursing research methodology, and implementation science., • Advanced knowledge of nursing research methodologies, evidence-based practice, implementation science, and quality improvement., • Demonstrated ability to mentor, coach, and develop nurses and nursing leaders in research and scholarly activities., • Strong presentation and facilitation skills with experience teaching diverse audiences., • Ability to influence change and build engagement across multidisciplinary teams., • Experience translating research findings into clinical practice improvements., • Knowledge of statistical analysis, research design, and data interpretation., • Excellent project management and organizational skills., • Strong written and verbal communication skills, including scientific writing., • Experience with grant writing and securing research funding is highly desirable., • Ability to build collaborative relationships across all levels of the organization., • Strong critical thinking, leadership, and strategic planning skills. Education • Doctorate (PhD, DNP, or equivalent) in Nursing or related field. Experience • Minimum of five (5) years of progressively responsible experience in nursing research, evidence-based practice, academic nursing, or clinical research. Licensure • Current Registered Nurse (RN) license., • Experience leading nursing research studies within an acute care or integrated healthcare system., • Demonstrated success mentoring nurses, nurse leaders, or interdisciplinary teams in research and evidence-based practice., • Experience developing and delivering educational programs, workshops, and research training., • Publication history in peer-reviewed journals and presentations at professional conferences., • Grant writing experience and success obtaining research funding., • Experience collaborating with academic institutions or research organizations., • Knowledge of IRB processes, research compliance, and ethical standards., • Experience with statistical software and research analytics. Here at Baylor Scott & White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well. Our Core Values are: • We serve faithfully by doing what's right with a joyful heart., • We never settle by constantly striving for better., • We are in it together by supporting one another and those we serve., • We make an impact by taking initiative and delivering exceptional experience. Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott & White Benefits Hub to explore our offerings, which may include: • Eligibility on day 1 for all benefits, • Dollar-for-dollar 401(k) match, up to 5%, • Debt-free tuition assistance, offering access to many no-cost and low-cost degrees, certificates and more, • Immediate access to time off benefits At Baylor Scott & White Health, your well-being is our top priority. Note: Benefits may vary based on position type and/or level We believe that all people should feel welcomed, valued and supported, and that our workforce should be reflective of the communities we serve.

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at Synergisticit we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab S, etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers for full-time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates. If you applied for a job and got emails from our job placement program team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team. We regularly interact with the top tech companies to give our candidates a competitive advantage see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and Gartner Data Analytics Summit (Florida)-2023. To prepare for interviews please visit _. We are looking for the right matching candidates for our clients. Please apply via the job posting. • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Project work on the skills, • Knowledge of Core Java, Javascript, C++, or software programming, • Spring boot, Microservices, Docker, Jenkins, and REST API experience, • Excellent written and verbal communication skills, • Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, • Project work on the technologies needed, • Highly motivated, self-learner, and technically inquisitive, • Experience in programming language Java and understanding of the software development life cycle, • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools, • Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow. If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team and only connect with candidates who are matching client requirements. No phone calls, please. Shortlisted candidates would be reached out. No third-party or agency candidates or c2c candidates.

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 tech job we make careers. In this job market also, our candidates are able to achieve multiple job offers and $100k+ salaries. We regularly interact with the top tech companies to give our candidates a competitive advantage. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab S etc to name a few. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates. For data science/machine learning positions required skills include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed, highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle knowledge of statistics, gen AI, LLM, Python, computer vision, data visualization tools excellent written and verbal communication skills. Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack/software positions include a bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT highly motivated, self-learner, and technically inquisitive experience in programming language Java and understanding of the software development life cycle project work on the skills knowledge of core Java, javascript, C++, or software programming Spring boot, microservices, Docker, Jenkins, Github, Kubernates and REST API's experience excellent written and verbal communication skills. If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

As a Marketing Data Scientist, you will be responsible for developing complex national and regional sales and marketing campaigns across a range of services within Verizon Business Group (VBG) to drive revenue growth. Using your skills in SQL, Python Data Science, Marketing, Science, Marketing Manager, Operations, Data Scientist, Technology

The job market is challenging due to more than 150,000 tech layoffs in 2022 and in 2023 more than 240,000 layoffs so almost 390,000 tech employees have been laid off since 2022 and it's still going on. The effect of this has led hundreds of thousands of laid off tech employees competing with existing jobseekers. Entry level job seekers struggle to get responses to their applications, are getting ghosted after interviews. In such a scenario the job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies to be hired by clients as it's an employer's market presently and they have a lot of hiring choices. For more than 12+ years Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens we are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as clients now post covid can also hire remote workers which increases even more competition for jobseekers. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, paypal, western union, client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in IT industry we assist in filing for STEM extension and also for H1b and green card filing to candidates we also offer optionally skill and technology enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then they should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours. We regularly interact with the top tech companies to give our candidates a competitive advantage-please see us exhibiting at Oracle Cloud world/Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023. For preparing for interviews please visit. We are looking for the right matching candidates for our clients please apply via the job posting. Required skills for Java/full stack/software programmers bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT highly motivated, self-learner, and technically inquisitive experience in programming language java and understanding of the software development life cycle project work on the skills knowledge of core java, javascript, c++ or software programming spring boot, microservices, docker, jenkins and rest api's experience excellent written and verbal communication skills. Required skills for data science/machine learning positions bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT project work on the technologies needed highly motivated, self-learner, and technically inquisitive experience in programming language java and understanding of the software development life cycle knowledge of statistics, sas, python, computer vision, data visualization tools excellent written and verbal communication skills preferred skills: NLP, text mining, tableau, powerbi, tensorflow.

If you're a computer science student approaching graduation, you've probably realized that getting a degree is just step one. The job market is more competitive than ever, and companies want more than class projects and GPAthey want job-ready engineers with real skills, project experience, and the confidence to perform from day one. At SynergisticIT, we've been helping students like you transition from the classroom to full-time roles at companies like Google, Apple, PayPal, Visa, Client, and Walmart Labs since 2010. Why Final-Year CS Students Choose SynergisticIT We know what tech companies look forand we train you for it. Work on industry-relevant tools that complement your academic foundation. Gain experience with Spring Boot, REST APIs, DevOps pipelines, cloud platforms (AWS, Azure), and data workflows. Prepare for behavioral and technical interviews with 1-on-1 coaching. Build your GitHub portfolio with enterprise-grade projects. Earn certifications that give your rsum real traction (Java, AWS, Power BI, TensorFlow, and more). Whether you're targeting software engineering, DevOps, data analytics, or machine learning roles, we map your next step with clarity and precision. Who Should Join? • Final-year bachelor's or master's students in CS, CE, IT, or related fields, • Students seeking F1-OPT transition support, STEM extension guidance, or long-term sponsorship, • Aspiring tech professionals aiming to start their careers in backend development, DevOps, data science, or analytics Real Outcomes, Real Success Thousands of grads have used SynergisticIT to fast-track their job search. Many receive multiple offers, and several land roles within 1-2 months, often at salaries above $100K. See real candidate success stories Watch: Why Tech Companies Don't Hire Based on Degree Alone Explore Interview Prep Resources In-Demand Skill Tracks We Offer Java Full Stack / DevOps • Core Java, JavaScript, Spring Boot, Microservices, GitHub, • Docker, Jenkins, Kubernetes, CI/CD Pipelines, AWS/Azure Data Science / Data Analytics / ML • Python, SQL, Power BI, Tableau, TensorFlow, NLP, • Databricks, Snowflake, Gen AI, Sagemaker, Machine Learning Pipelines All visa types and U.S. citizens are welcome to apply. No third-party or C2C submissions accepted. Don't wait until after graduation. Let SynergisticIT help you get aheadbefore you even walk across the stage. Click here to explore success stories and start your journey Your future in tech starts now. Let's build it together.

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 tech

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

Position Summary The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! Recruiting for this role ends on May 31, 2027. What you'll do As a Manager in Deloitte's Legal Business Services team, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency by leveraging numerous applications. Responsibilities include: Client Management: Participate in the day-to-day interactions with client's project team members and Deloitte project leadership members. Delivery: Work with a team to optimize tax and legal process, leveraging technology to align tax and legal software with the clients' specific requirements and goals. Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments. Support: Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes. Project Management: Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Participate in the development of team members. Business Development: Participate in and contribute to pursuit teams. The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps tax departments pursue a streamlined, transparent, and efficient tax function that enhances the core responsibilities of compliance, reporting and planning, while also positioning tax as a strategic business advisor for the digital era. We specialize in tax and can effectively address a corporate tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, tax portal, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Qualifications Required: Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week Limited immigration sponsorship may be available 5+ years' experience with legal and/or technology solutions Bachelor's degree in technology, business, accounting, legal or related field Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration One of the following active accreditations obtained: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) Procurement/Legal Procurement or SAS Certified Data Scientist Paralegal Certification with a 4-year degree Technical Certifications: Six Sigma (Black Belt and Green Belt) DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Thomson Reuters (Legal Tracker, High Q, or Contract Express) Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,475 to $274,750. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas, and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Tax LLP, a subsidiary of Deloitte LLP. Please see https://www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles's Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act. See notices of various fair chance hiring and ban-the-box laws where available. Fair Chance Hiring and Ban-the-Box Notices | Deloitte US Careers Requisition code: 353345 Job ID 353345

Responsibilities- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights- Overseeing the implementation of data infrastructure and integration to support scalable AI systems- Driving business growth by identifying market opportunities a

Responsibilities- Leading data analysis initiatives to extract insights and drive data-driven decision-making for clients- Utilizing advanced analytics techniques and tools such as Python, Power BI, and Tableau to optimize client operations- Developing and implementing data models and predictive ana

This is an individual contributor role that provides business leadership with good grip on data technology to support multiple product teams towards new and emerging data products. Good understanding with AI Data Framework, Chatbots, AI Data Modeling and related tools. Communicate complex data model

We are seeking a Senior AI/ML/Data Scientist / Applied AI Leader with deep expertise in Agentic AI, Large Language Models (LLMs), and Natural Language Processing (NLP) to solve high impact business problems using advanced AI capabilities. Python experience; experience with distributed data processin