Data scientist jobs in Tempe, ArizonaCrear alertas

Job Description Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain. You will report into the Director of Data Work Location: This position is based in our Tempe office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses. Responsibilities: • Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors., • Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain., • Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models., • Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems., • Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment., • Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems., • Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units., • 4+ years of industry or other quantitative technical fields (which may include academia)., • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data, • Advanced degree in a quantitative or technical field At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

Job Description About Radix Radix is revolutionizing how the multifamily world makes decisions. From investment to divestment, and everything in between, Radix brings data transparency, market intelligence, and acquisition modeling into a seamless ecosystem that turns the industry's best insights into confident decisions. What You Will Be Part Of You’ll be part of a high-impact analytics team at Radix, building data-driven products that directly influence how multifamily real estate decisions are made. This role sits at the intersection of advanced analytics, machine learning, and real-world business outcomes—transforming complex, real-time property and market data into actionable insights. You’ll contribute to industry-defining platforms used by operators, investors, and renters, while helping Radix push the boundaries of transparency and intelligence in property technology. Your work will have tangible impact across pricing, forecasting, asset performance, and market strategy. What You Will Achieve * Analyze large-scale, real-time multifamily datasets to uncover trends, anomalies, and opportunities that drive client value * Build, deploy, and iterate on machine learning models for rent pricing, market forecasting, and asset performance optimization * Apply statistical methods and hypothesis testing to support data-driven product and business decisions * Leverage generative AI tools to improve data ingestion, enrichment, analysis, visualization, and reporting workflows * Partner closely with product, engineering, and operations teams to translate analytical insights into scalable platform features * Design and maintain data pipelines and models deployed on cloud infrastructure such as AWS or Azure * Monitor model performance in production and continuously improve accuracy, reliability, and business relevance * Create clear, compelling visualizations and narratives that communicate insights to non-technical stakeholders * Contribute to the evolution of Radix’s analytics capabilities across RealRents, Radix Analytics, and Radix Underwriting What Makes You a Strong Fit * Strong curiosity and passion for turning complex data into meaningful, real-world insights * Resilience and adaptability in a fast-moving environment where priorities evolve and ambiguity is common * Proven ability to thrive in a startup or high-growth company with significant scale potential * Solid foundation in data science fundamentals, including statistics, probability, and machine learning concepts * Hands-on experience with Python and SQL for analysis, modeling, and automation * Comfort working with cloud platforms (AWS or Azure) and deploying analytical solutions into production * Interest or experience using generative AI tools to enhance analytics and decision-making workflows * Excellent communication skills, with the ability to explain technical concepts to non-technical audiences * Strong collaboration skills and a team-first mindset when working across product, engineering, and operations * Detail-oriented problem solver who takes ownership of outcomes, not just analyses Why You Will Love Working Here * Comprehensive Benefits * Medical, dental and vision coverage designed to support your wellbeing. * Unlimited PTO * We trust you to take the time you need to recharge and do your best work. * Pre-IPO Equity * Meaningful ownership with the potential to grow right alongside Radix. * Performance Bonus * Rewarded for the impact you drive, not just tasks completed. * Learn From the Best * Work shoulder-to-shoulder with industry experts, innovative operators, and leaders shaping the future of multifamily. * Build Category-Defining Products * Join us during a high-velocity, post–Series A growth stage where your ideas influence the market, not just the roadmap.

Job Description Nammo Defense Systems, Inc., a defense contractor, is the primary USA operation of the Nammo Group (Nammo AS). Nammo Defense Systems Inc. (NDS) develops, manufactures, and supports Shoulder Launched Munitions (SLMs), energetic material solutions such as aircraft emergency escape systems, actuation devices, rocket motors, warheads, and composite solutions including carbon fiber tubes and composite aerospace structures. JOB OVERVIEW: The Scientist within the Research Department team will serve as a subject matter expert for various production composite propellants and liners. The individual will conduct and supervise projects involving formulating, raw ingredient testing, lab scale mixing, batch size scale up, propellant property testing, and data reduction/analysis. The position will report to and take direction from the Propellant, Explosives and Pyrotechnic Supervisor but will also work closely with the cross-functional program teams to support production programs. How you will be rewarded as our Scientist: • Competitive compensation, • Monday-Thursday work week working four 10-hour days (off on Fridays), • Generous paid time off and Holiday Pay, • Medical, Dental and Vision Insurance, • 401(K), employee assistance programs, health savings account KEY RESPONSIBILITIES: • Apply chemical principles to safely analyze and conduct experiments on propellants, pyrotechnics, and/or explosives to meet program requirements or to make production improvements., • Develop and/or modify formulas, processes, procedures, and techniques to manufacture propellant., • Develop methods and analyzes and to create tests compositions to understand and modify chemical, physical, mechanical, ballistic, and hazard properties., • Establish optimal trade-off of propellant properties by modifying composition to achieve objectives., • Serve as a principal investigator to resolve propellant production issues., • Follow standard laboratory practices and safety procedures., • Coordinate and schedule support work for other departments., • Make oral presentations outlining/summarizing progress on selected projects and programs to both internal and external customers., • Prepare technical reports detailing work progression and results., • Provide labor, equipment, and material estimates for laboratory work required to support production projects., • Assign/delegate work to technicians and junior chemists., • Provide training to technicians to perform chemical weigh out, small scale propellant mixing, laboratory testing, mechanical property testing, and burn rate testing., • Review results of experiments and analyses performed by other scientists or technicians., • Perform Statistical Process Control charting and predictive modelling to identify propellant performance and/or property trends., • Follow standard practices and safety procedures., • Strictly adhere to all safety policies and procedures to ensure a safe working environment. LEVEL OF DECISION MAKING This position requires daily autonomous decision-making capabilities when working with both internal and external customers. SKILLS & QUALIFICATIONS: Required: • Proficient with Microsoft Office, Word, Excel, and Power Point., • Experience with various lab instruments for analysis and testing of energetic materials., • Working knowledge of energetic material regulations and safe handling/measurement., • Ability to work effectively and communicate well with the cross-functional NDS Mesa Team., • Must have a strong work ethic and be well organized to manage multiple projects simultaneously., • Must be able to wear safety equipment such as respirators or self-contained breathing apparatus., • Must be able to exert up to 50 lbs. of force in the course of normal work., • Must have the ability to obtain and maintain ATF Processor license. COMPETENCIES: • Excellent communication and collaboration skills., • Strong attention to detail, • Strong problem-solving and critical-thinking abilities., • Ability to work in fast-paced environments., • Leadership or teamwork abilities. WORKING CONDITIONS: • Full-time on-site position., • This position may require travel on an as-needed basis, • This position may require working in diverse settings and conditions. Note: Due to US Export Control laws and regulations; applicants selected for employment must show proof of a U.S. Person status before employment may begin.

Job Description Company: Trileaf Corporation is a nationwide environmental, architecture, and engineering consulting firm that assists clients with environmental due diligence, regulatory compliance, and engineering and architectural design. From its headquarters in St. Louis, MO, and multiple branch offices throughout the U.S., Trileaf serves the wireless communications, commercial real estate and financial industries. Job Summary: Trileaf is seeking a full-time Environmental Project Scientist for our Phoenix, Arizona office with at least 0-1 year of field experience conducting environmental due diligence work on commercial real estate projects, to include Phase I Environmental Site Assessments Phase I ESAs and Phase II ESAs Essential Job Functions: • Travel to project location, take detailed notes and photographs of site (3-4 days per week), • Conducting interviews, in person, via email, and phone, • Ordering & analyzing government database records, • Performing regulatory agency file reviews, • Reviewing historical data (including topographic maps, Sanborn fire insurance maps, city directories, and aerial photographs), • Drafting of a standardized report using information from these various sources, • Perform QA/QC to the satisfaction of both management and clients, • Completing requested revisions & submitting report within pre-established timelines, • Conducting field work to collect samples of potentially contaminated subsurface media (soil, groundwater, and soil vapor) and/or indoor air, • Compare analytical contaminant data collected to applicable regulatory standards Basic Qualifications: To be considered, the resume of the applicant must demonstrate the following qualifications/skills: • Attention to detail, • Strong work ethic, • Valid driver license, • Capable of field work, • Ability and willingness to travel (travel not expected to exceed 2-3 days at a time), • Good computer skills, • Independent worker, • Commitment to excellence, • Phase I Assessments, • NEPA Assessments Preferred Qualifications / Experience: • 40-Hour HAZWOPER Certification, • Licensed Asbestos Inspector, • Management, • Mold assessment experience, • Phase II Environmental Site Assessments (ASTM E1903), • Property Condition Assessments (ASTM E2018), • Transaction Screen Assessments (ASTM E1528), • Record Search with Risk Assessments (SBA SOP 50 10 6), • Environmental Professional (EP) Education: Bachelor’s degree or higher in Biology, Environmental Science, Geology, Geography or related fields Benefits: • Health, Dental & Vision Insurance, • 401k w/matching, • Short-term disability, Long-term disability & Life Insurance – 100% Employer paid, • 3 weeks of PTO per year, • 8 paid holidays plus 1 floating holiday The listed salary range for this position is an expected range. The actual offer will be at the company's sole discretion and determined by relevant business considerations, including the final candidate's qualifications, years of experience, skillset, geographic location, and current market data. Trileaf Corporation is an equal opportunity employer that recognizes the value of diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, and local laws in jurisdictions where we operate.

Job Description Olgoonik is an Equal Opportunity Employer Overview: FPM Remediations, Inc. is currently seeking an Environmental Scientist/Geologist for a mid-level full-time position at its Chandler, AZ office. This is an excellent career advancement opportunity for an individual with 5 – 8 years of relevant professional experience to join a team of dedicated and knowledgeable environmental professionals. This position will provide an opportunity to apply the latest technologies to conduct field investigations and remediate contaminated sites across the country for our clients. Primary Responsibilities: The position will support projects at locations around the United States. Responsibilities will include: • technical coordination and quality of field work and the production of technical planning documents and reports., • participating in field programs that include the collection of soil, surface water, groundwater, sediment, and air samples., • overseeing and monitoring the work of subcontractors including drill rig crews, surveyors, construction crews, and remediation work, • supporting preparation of technical reports, which may include importing electronic laboratory data reports into FPM’s and clients’ data management systems., • evaluating data quality and usability., • preparing written reports of field activities, observations, and findings and preparing graphics and figures of results., • contactor management., • providing analysis and interpretations of findings based on scientific experimentation and existing knowledge. Will supervise and support teams involved with field work and document production. Education and/or Experience: The Environmental Scientist/Geologist II will have the following qualifications: • Bachelor’s degree or higher in an environmental science and/or environmental engineering, with a preferred focus on geology, and coursework in chemistry, physics, and mathematics., • 5 to 8 years of relevant professional experience in the field of environmental investigation and remediation, implementing environmental remedial actions, and overseeing construction., • 40 HR OSHA Hazwoper., • Ability to travel, • Ability to participate in safety training and follow company safety standards, • Excellent technical report writing and communication skills., • Desire to work as part of a team, • Supporting remediation system operation and maintenance (OM&M) activities, • Performing hydrogeological assessments regarding groundwater flows to identify contamination impact and related concerns, • Knowledge of applicable federal, state, and local laws, regulations, and guidance., • Attention to detail, • Ability to analyze chemistry and environmental data, • Effective decision making and problem solving skills, • Ability to adapt to changing situations, • GIS experience is a plus Must be able to successfully complete a U.S. government administered investigation Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is required to be able to stand; walk; sit; use hands to handle tools and controls; operate vehicles and equipment, reach with hands and arms; climb stairs; balance; stoop; kneel; see, talk, hear. Field work is performed in on various outdoor terrain and regularly requires the ability to navigate uneven ground or other obstacles found in natural surroundings. Travel: Travel to field sites will be required as needed, ~40 to 60% travel initially. Travel may involve participation in and/or coordination/supervision of field work; and presentations and/or meetings with clients and other project stakeholders. Work Environment: General office and field work environment. Olgoonik is an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local laws. As an Alaska Native corporation, Olgoonik provides hiring preference to Olgoonik shareholders, descendants, and their spouses to the extent allowed by law.

Job Description Job Title: Data Scientist (Healthcare ML & Analytics — Mid/Senior Level) Location: Onsite-full time, $80K to $130K, must be authorized to work in USA, no visa sponsorship available Company Overview: Lifekind Health is a leading provider of transdisciplinary pain management patient care and is launching Savas Software AI-enabled next generation healthcare software. We combine clinical excellence with advanced machine learning, analytics engineering, and intelligent automation to transform how care is delivered. We are committed to providing exceptional patient care and dedicated to improving healthcare delivery through innovative technology. We are building the data and ML foundation that will power the future of personalized, proactive, and value-based healthcare. Position Overview: We are seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency. This is a high-ownership, hands-on role where you’ll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to push ML systems into production. If you enjoy solving messy, high-impact healthcare problems using advanced ML, this role is for you. Key Responsibilities Machine Learning & Predictive Analytics • Develop and deploy ML models that power key products such as:, • Procedure Appropriateness, • Patient no-show prediction, • Appointment optimization, • Clinical risk stratification, • Patient adherence forecasting, • Provider utilization and throughput prediction, • Perform feature engineering using clinical, operational, and financial data., • Experiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning where appropriate)., • Evaluate models using rigorous statistical and ML performance metrics., • Collaborate with ML engineering to productionize models on Azure Data Analysis & Insights • Conduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover trends, biases, and quality issues., • Translate clinical guidelines and workflows into computable, data-driven logic., • Generate actionable insights that drive clinical and operational decision-making. Data Engineering & Feature Pipelines • Build and maintain reproducible feature pipelines in an Azure ecosystem (ADLS, ADF, Azure Functions)., • Transform raw healthcare data into modeling-ready datasets (structured + unstructured)., • Implement data validation, quality checks, and scalable transformation logic., • Collaborate with Data Engineering to ensure high-quality, well-governed data flows. NLP & Unstructured Data (Nice-to-Have but Valuable) • Apply basic NLP techniques to extract signal from clinical notes and operational text., • Explore entity extraction, rule-based labeling, embedding-based features, etc. Visualizations & Storytelling • Create dashboards and data visualizations using Power BI or Python to communicate insights., • Present findings and recommendations to clinicians, operations leaders, and executives. Technical Environment (Azure ML & Analytics) You’ll work within a modern Azure-based ML and analytics stack, including: • Core Languages: Python, SQL, • Libraries & Frameworks: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, NLP libraries Qualifications • 2 or more years of experience in data science, machine learning, or applied analytics., • Strong Python + advanced SQL skills for data manipulation, modeling, and EDA., • Experience developing and evaluating ML models in real-world environments., • Experience with healthcare datasets (EHR, claims, clinical notes, billing, scheduling) is a strong advantage., • Strong understanding of feature engineering, statistical methods, and model validation., • Ability to clearly communicate technical concepts to non-technical stakeholders. Preferred Skills • Experience with Azure Data Factory, Azure Functions, Azure Open AI, • Experience deploying or operationalizing ML models (Azure ML ideal)., • Exposure to NLP for clinical text., • Master’s degree in Data Science, CS, Statistics, Biomedical Informatics, or related field., • Familiarity with HIPAA, PHI handling, and healthcare data governance. What Success Looks Like • Production-ready ML models that drive measurable improvements in clinical operations., • High-quality datasets, features, and reproducible pipelines powering our AI platform., • Actionable insights that influence patient outcomes and reduce operational friction., • Ability to independently drive complex data projects end-to-end with minimal supervision. What Sets Us Apart: Our team is mission-driven and united by a common purpose: healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us.

Job Description About Carvana... At Carvana, we're changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years. Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we're just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical. Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you'll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you're driven to grow and make an impact as part of a collaborative team, you'll fit right in. Learn more about what it's like to work here from the people that already do. Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday. About the Role This role sits within Carvana's Credit & Risk modeling space, working on high-impact predictive models that inform risk assessment and decisioning across the business. We are looking for a senior individual contributor who will help advance the technical capabilities of our core credit and risk models by developing, validating, and productionizing new modeling techniques and data signals. Success in this role comes from steady, compounding improvement—introducing new ideas pragmatically, proving value early, and iterating toward more sophisticated approaches over time. While the work will focus on flagship credit and risk models, successful techniques and signals are expected to scale outward to other models and teams through shared workflows and modeling infrastructure. This role is well suited for someone who operates comfortably at the intersection of advanced modeling and real-world delivery to balance tradeoffs between complexity and business objectives. What You'll Be Doing • Improve core credit and risk models through a sequence of incremental advancements in accuracy, robustness, and coverage over time., • Leverage a wide range of structured and unstructured data sources across multiple modalities to drive sustained improvements in model accuracy and decision quality., • Design, train, and deploy advanced machine learning models, including (but not limited to) gradient boosting, representation learning, embeddings, and transformer-based approaches., • Use high-impact models as a testing ground for new techniques and data modalities, validating which ideas deliver measurable lift in production., • Build and apply rigorous evaluation frameworks (offline validation, backtests, simulations, online experiments) to guide iteration and decision-making., • Exercise strong judgment about model complexity and tradeoffs, balancing sophistication with reliability and maintainability., • Partner closely with data engineering and platform teams to ensure models are production-ready, scalable, monitorable, and maintainable., • Translate successful work into reusable patterns, abstractions, or signals that can be adopted across other modeling efforts., • 5-8+ years of experience building and deploying predictive models in production environments., • A demonstrated track record of delivering models and improving them iteratively over time, not just developing them offline., • Strong experience with modern machine learning techniques (e.g., LightGBM/XGBoost, neural networks, representation learning)., • Excellent statistical intuition, including comfort reasoning about bias/variance tradeoffs, generalization, and experimental validity., • Fluency in Python and SQL, with production-quality coding standards., • Hands-on experience with embeddings, transformers, or other deep representation models in real-world systems., • Experience integrating unstructured or semi-structured data (text, images, documents, device signals) into predictive models., • Familiarity with model monitoring, drift detection, and retraining strategies for high-impact decision systems., • An advanced degree in a quantitative field is welcome but not required if you have equivalent industry experience. Over time, success in this role is reflected by: • Measurable improvements in the accuracy, robustness, or coverage of core credit and risk models., • New modeling techniques or data signals that transition from experimentation into sustained production use., • Clear patterns or abstractions that enable other teams to adopt and build on this work., • Full-Time Salary Position with a competitive salary., • Medical, Dental, and Vision benefits., • 401K with company match., • A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more., • A great wellness program to keep you healthy and happy both physically and mentally., • Access to opportunities to expand your skill set and share your knowledge with others across the organization., • A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development. Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship. Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories. Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

Job Description COMPANY OVERVIEW: Certerra Southwest, a leading engineering consulting firm in the western United States, has an excellent opportunity for an Entry Level Environmental Scientist in our Phoenix/Tempe, AZ office. The successful candidate will conduct a variety of field and office duties to support senior team leaders. Project assignments will take you to locations throughout the southwestern United States, but primarily in Arizona, New Mexico, Utah, and Nevada. A willingness and ability to learn new skills in challenging fields and office assignments in a collaborative setting wins the day! This position requires a hard-working, safe, efficient and dedicated employee that is excited to receive training on the job and expand their current skill set. Candidates must be able to travel, and work nights, weekends, and extended hours, depending on the project requirements. Potential responsibilities Support field projects including groundwater monitoring, soil sampling, vapor sampling, and operations/maintenance of remediation systems. Support planning and design of environmental systems and processes to mitigate/control the discharge of pollutants. Monitor, record, and report environmental field measurements. Conduct field investigations and inspections to review and evaluate compliance with regulatory requirements, permits, and specifications involving water, wastewater, air emissions, hazardous waste, and petroleum storage tank systems. Collect soil samples from borings using a variety of drilling rigs for environmental and geotechnical testing, prepare lithologic, and perform field screening for environmental contaminants. Install groundwater monitoring wells, vadose zone wells, and vapor sampling ports per project specifications. Log and track data, prepare spreadsheets, prepare calculations for use in exposure assessments and fate and transport modelling. Conduct literature research for use in interpreting areas of waste management, disposal, and releases to the environment. Read, review, interpret, and analyze existing and historical data about past investigative activities to develop conceptual site models. Prepare detailed report narratives and supporting documentation describing and summarizing research, field activities, and analytical results. Physical Requirements • Work outside in extreme weather conditions (heat and cold), • Ability to lift/carry 50 pounds, • Ability to carry and climb ladders, • Use and control handheld power tools, • Be able to wear a respirator, safety harness and other safety equipment, as needed OSHA 40-Hour HAZWOPPER Training. Experience with MS Office, CADD, Salesforce, and or Deltek Advantage State or Federal level certifications for asbestos, lead, indoor air quality, industrial hygiene, or environmental management Clean driving record BS in Engineering or Physical Science WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee occasionally works near moving mechanical parts in outside weather conditions and is occasionally exposed to wet and/or humid conditions, and fumes or airborne particles. The noise level in the work environment is usually moderate. We are an Equal Opportunity Employer. This Company is dedicated to both the letter and the spirit of the equal opportunity employment laws. All applicants and all employees will be evaluated based on their ability, competence, and performance of the essential functions of their positions. There will be no discrimination based on race, sex, national origin, religion, age 40 and over, disability, sexual orientation, marital status, or any other classification which may be protected by federal, state, or local laws. In compliance with the Americans with Disabilities Act, we specifically offer equal opportunity for all employees or job applicants who may have a physical or mental disability. Such people will be hired based on their ability to perform the essential functions of the job in question. Likewise, their work will be evaluated on their performance of these essential functions. We will offer reasonable accommodation to individuals with disabilities, to the extent that Company resources allow without undue hardship. As part of our equal employment policy, there will be no wage differentials based on gender, between men and women employed in the same establishment, on jobs that require equal skill, effort, and responsibility, and which are performed under similar working conditions.

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

Provide Technical Leadership: Mentor junior data scientists, guide best practices, and drive innovation across AI projects. We are seeking a Senior Data Scientist specializing in Natural Language Processing (NLP) and modern retrieval-augmented generation (RAG) architectures to join our Life Sciences

Manage multiple priorities and ensures quality and timeliness of work deliverables such as data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment. Data Scientist II - Client Protection. In this role, you will

Collaborating with teams of data scientists on full life cycle data-driven solutions. Access to expansive and diverse datasets to grow your data science portfolio. Skills in data preparation and corpus filtering using databases like PostgreSQL and MySQL.

Junior Data Scientist with Data Engineering skills. Junior Data Scientist with Data Engineering skills. Internship or project experience in data science or data engineering.

Partner closely and provide technical direction to Data Engineers and Data Architects to ensure data availability, quality, scalability, and alignment with enterprise data standards. Databricks or similar tooling for data science or machine learning workloads, including Spark-based data processing.

Analyze large-scale power market datasets (e. Direct experience working with power market data and analytics (e. Ability to manage and analyze large, unstructured datasets using distributed computing platforms.

Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Knowledge of Core Java , javascript , C++ or software programming. Knowledge of Core Java , javascript , C++ or software programming.

Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers. Data roles (Analytics/Engineering/Science/BI) + ML/AI. Data Science JOPP: .

Manages multiple priorities and ensures quality and timeliness of work deliverables such as quantitative models, data science products, data analysis reports, or data visualizations, while exhibiting the ability to work independently and in a team environment. Data Scientist II - Fraud Senior Model

As a Senior Data Scientist on our team, you will design, develop and deliver data science solutions requiring advanced mathematical methods, statistical and machine learning models in support of data-driven strategies. You will combine data from multiple sources to develop innovative solutions to bu

If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner. We are seeking a Senior Data Scientist with a strong background in machine learning, experimentation, strategic analytics

Work with Omnichannel Data Engineer to Integrate data from multiple sources (e. Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Da

Strong history of collaborating with other data scientists, data engineers, and IT on delivering AI/ML solutions to business partners in highly regulated environments, with a foundational understanding of Model Risk Management (MRM) and governance principles. The Opportunity: As a dedicated Data Sci

As a Principal Applied Data/Computational Scientist, you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Oracle Cloud Infrastructure (OCI) Principal Applied Data/Computational Scientist. We're looking for an experienced Pr