Data engineer jobs in Cary, NC

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health * We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. * We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. * We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong. Job Responsibilities Summary The Principal Clinical Data Scientist provides strategic and operational leadership for end-to-end clinical data collection, cleaning, and quality oversight across complex clinical studies. This role serves as the functional lead for Clinical Data Science, ensuring clinical data deliverables are fit for purpose, compliant with regulatory and contractual requirements, and aligned with sponsor expectations and study timelines. The position partners cross-functionally to drive data quality, risk mitigation, analytics innovation, and timely delivery of clinical data milestones. Responsibilities * Serve as the Data Management Functional Lead for Clinical Data Science on complex, multi-scope clinical projects and act as the primary liaison between Clinical Data Science, Project Management, Clinical Monitoring, and other functional groups. * Develop Data Management Plan, Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis * Act as the central steward of clinical data quality through holistic review of clinical and operational data using detailed protocol and therapeutic area knowledge. * Ensure required data elements and corresponding data quality oversight steps are identified to support defined study analyses. * Coordinate cross-functional data cleaning activities to meet quality standards, timelines, and contractual obligations. * Communicate, troubleshoot, and resolve complex data-related issues; recommend solutions and escalate issues impacting patient safety, data integrity, or study analysis. * Develop Clinical Data Acquisition Plans and data flow diagrams for complex studies and align data flow with study protocols, regulatory requirements, and study endpoints. * Assess risks related to protocol design, program-level strategies, and study parameters that may impact data credibility and trial reliability. * Design and drive development of analytical tools and dashboards to identify potentially unreliable or high-risk data. * Perform analytic reviews as defined in the scope of work and data acquisition plans; identify root causes and implement systematic resolutions. * Demonstrate understanding of advanced technologies and assess their applicability to individual studies or programs. * Monitor and communicate project progress using status reports, tracking tools, and metrics to Sponsors and internal teams. * Ensure launch, delivery, and completion of Clinical Data Science milestones in compliance with contracts, SOPs, guidelines, and regulatory requirements. * Collect and analyze metrics to support continuous process improvement initiatives. * Review and manage Clinical Data Science budgets, identify out-of-scope activities, and initiate change orders through Project Management. * Plan, manage, and allocate Clinical Data Science resources and coordinate the work of assigned team members. * Develop and maintain project plans, specifications, and documentation in compliance with SOP requirements. * Maintain ongoing documentation and ensure Trial Master File (TMF) completeness and accuracy. * Participate in and present at internal, Sponsor, investigator, and third-party meetings. * Provide input to proposals, bid defenses, and RFP responses and promote new Clinical Data Science business opportunities aligned with Sponsor strategies. * Prepare documentation for and participate in internal and external audits. * Train and mentor junior team members and maintain proficiency in Clinical Data Science systems through ongoing training. * Perform other duties as assigned. Qualifications Education * Bachelor's degree in Biological Sciences, Computer Science, Mathematics, Data Science, or related discipline required. * Master's degree preferred. * Equivalent relevant experience may be considered in lieu of degree. Experience * Minimum of 10 years of experience in Clinical Data Management and/or Clinical Data Science. * At least 5 years of project management experience. * Experience with Clinical Data Science practices and relational database management systems. * In-depth knowledge of the drug development lifecycle, including risk-based data quality approaches and biometrics workflows. Skills & Knowledge * Expertise in protocol interpretation, data collection strategies, and data cleaning specification development. * Knowledge of ALCOA++ data quality principles. * Knowledge of medical terminology, clinical trial data, and ICH/GCP regulatory requirements. * Proficiency with Microsoft Word, Excel, PowerPoint, email, and Windows-based applications. * Strong leadership, communication, organizational, and time-management skills. * Ability to manage multiple priorities in a fast-paced, dynamic environment. * Ability to work independently and collaboratively across multidisciplinary teams. At Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position may include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range: $95,000.00 - $175,700.00 The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Get to know Syneos Health Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients. No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health. *************************** Additional Information Tasks, duties, and responsibilities as listed in this are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job. Summary Principal Clinical Data Scientist- Clinical Data Management Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities. Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to accelerate the delivery of therapies, because we are passionate to change lives. Discover what our 29,000 employees, across 110 countries already know: WORK HERE MATTERS EVERYWHERE Why Syneos Health We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program. We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people. We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we're able to create a place where everyone feels like they belong.

Clorox is the place that's committed to growth - for our people and our brands. Guided by our purpose and values, and with people at the center of everything we do, we believe every one of us can make a positive impact on consumers, communities, and teammates. Join our team. #CloroxIsThePlace (**************************************************************************** UpdateUrns=urn%3Ali%3Aactivity%3A**********048001024) **Your role at Clorox:** We are seeking an experienced and highly skilled senior data engineer to join our enterprise data strategy and operations team. The ideal candidate will have extensive expertise in designing, building and maintaining data pipelines and data solution architectures on cloud platforms, particularly Azure. This role involves leading data engineering products, optimizing data processing workflows, ensuring data quality and governance, and collaborating with cross-functional teams to support analysis and insights generation to fuel large scale ideation and roadmapping associated with revenue growth and margin improvements projects at scale across the enterprise. The role of Senior Data Engineer at Clorox will play a key role in leading and delivering enterprise quality data solutions that can enable data driven business decisions. Role is an analytical big picture thinker with a product mindset and strong background in business intelligence and engineering in cloud platform, that can leverage technology and build scalable data products that create value across the organization.This role will also serve as a key collaborator with our business analytics and enterprise technology stakeholders to innovate, build and sustain the cloud data infrastructure that will further Clorox's digital transformation efforts. **In this role, you will:** + **Collaborate & Lead** : Work closely with business product owners, data scientists, analysts, and cross-functional stakeholders to understand the business' data needs and provide technical solutions. Influence business partners to align to the technical solutions and to adhere to technical architecture standards. Provide technical guidance to junior engineers, BI developers, and contractors to create efficient and effective data solutions. + **Architecting and Innovate** : Strong proficiency in Python, Spark, SQL, PySQL, Pandas, CI/CD methodologies is required. Strong data ingestion, data modeling and dimensional modeling skills using medallion lake house architecture. Strong BI skills to build reports & dashboards using Power BI and Tableau etc. Experience in reporting security like row level, column level, object level and masking etc. Experience with SQL and DML to recast data in backend database for data changes, restatements and data processing errors, etc. Experience with ML Ops and supporting Data Science workflow pipelines. Knowledge of Gen AI frameworks and LLMs to support agentic products + **Optimize and Scale:** Build and maintain data pipelines to integrate data from various source systems. Optimize data pipelines for performance, reliability and cost-effectiveness. Work with enterprise infrastructure and technology teams to implement best practices for performance monitoring, cloud resource management, including scaling, cost control and security. + **Ensure Quality and Governance:** Ensure safe custody, transport and storage of data in the data platforms. Collaborate with Data Governance Stewards and Business Stakeholders to enforce the business rules, data quality rules and data cataloging activities. Ensure data quality, security and compliance for the data products responsible under this role. + **Enhance BI Capabilities:** Develop and manage business intelligence solutions for the organization to transform data into insights that can drive business value. Help Analytics Product Owners and Business Leaders improve business decisions through data analytics, data visualization, and data modeling techniques and technologies. **What we look for:** + 7+ years of exp if the candidate holds BS degree in Computer Science, Information Systems or relevant streams; 5-7 years of exp if the candidate holds MS/PhD degree + BS degree or higher in Computer Science, Information Systems or relevant streams + Experience in architecting data solutions, cloud data engineering, end to end data warehouse or lake house implementations, end to end business intelligence implementations + Minimum 7 years of experience with data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects + 5+ years' experience with data solutions implementations in Cloud platform technologies like Microsoft Azure, AWS etc. + 4+ years with business intelligence using technologies like Power BI, Tableau etc. + 4+ years of experience with Azure services like Data Factory, Databricks, and Delta Lake will be an added advantage. + Experience in end-to-end support for data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms + Knowledge or experience in Microsoft D365 Dataverse and reporting in Microsoft Fabric technology **Skills and Abilities:** + **Cloud Data Engineering** + Data engineering, data warehousing, business intelligence with substantial experience in managing large-scale data projects. + Experience in end-to-end support for data engineering solutions (Data Pipelines), including designing, developing, deploying, and supporting solutions for existing platforms + Build data solutions in Cloud platform technologies like Azure, AWS etc. and using data tools like Data Factory, Databricks and Delta Lake. + **Leadership Skills** + Experience leading data projects and teams. Ability to mentor junior engineers and collaborate effectively with stakeholders to deliver data-driven solutions. + Excellent verbal and written communication skills. Ability to articulate ideas to both technical and non-technical audiences. + Strong problem-solving skills with an emphasis on product development. Ability to translate business requirements into non-technical terms and back into technical implementations. + Creating reusable engineering frameworks like quality check, logging, scheduling, monitoring and alerting. + **Additional Skills for added advantage** + Knowledge or experience in Microsoft D365 Dataverse and reporting in Microsoft Fabric technology **Workplace type:** Hybrid - 3 days in the office, 2 days WFH **Our values-based culture connects to our purpose and empowers people to be their best, professionally and personally. We serve a diverse consumer base which is why we believe teams that reflect our consumers bring fresh perspectives, drive innovation, and help us stay attuned to the world around us. That's why we foster an inclusive culture where every person can feel respected, valued, and fully able to participate, and ultimately able to thrive.** Learn more (********************************************************************************************************* **.** **[U.S.]Additional Information:** At Clorox, we champion people to be well and thrive, starting with our own people. To help make this possible, we offer comprehensive, competitive benefits that prioritize all aspects of wellbeing and provide flexibility for our teammates' unique needs. This includes robust health plans, a market-leading 401(k) program with a company match, flexible time off benefits (including half-day summer Fridays depending on location), inclusive fertility/adoption benefits, and more. We are committed to fair and equitable pay and are transparent with current and future teammates about our full salary ranges. We use broad salary ranges that reflect the competitive market for similar jobs, provide sufficient opportunity for growth as you gain experience and expand responsibilities, while also allowing for differentiation based on performance. Based on the breadth of our ranges, most new hires will start at Clorox in the first half of the applicable range. Your starting pay will depend on job-related factors, including relevant skills, knowledge, experience and location. The applicable salary range for every role in the U.S. is based on your work location and is aligned to one of three zones according to the cost of labor in your area. -Zone A: $128,000 - $252,200 -Zone B: $117,400 - $231,200 -Zone C: $106,700 - $210,200 All ranges are subject to change in the future. Your recruiter can share more about the specific salary range for your location during the hiring process. This job is also eligible for participation in Clorox's incentive plans, subject to the terms of the applicable plan documents and policies. Please apply directly to our job postings and do not submit your resume to any person via text message. Clorox does not conduct text-based interviews and encourages you to be cautious of anyone posing as a Clorox recruiter via unsolicited texts during these uncertain times. To all recruitment agencies: Clorox (and its brand families) does not accept agency resumes. Please do not forward resumes to Clorox employees, including any members of our leadership team. Clorox is not responsible for any fees related to unsolicited resumes. **Who we are.** We champion people to be well and thrive every single day. We're proud to be in every corner of homes, schools, and offices-making daily life simpler and easier through our beloved brands. Working with us, you'll join a team of passionate problem solvers and relentless innovators fueled by curiosity, growth, and progress. We relish taking on new, interesting challenges that allow our people to collaborate and thrive at work. And most importantly, we care about each other as multifaceted, whole humans. Join us as we reimagine what's possible and work with purpose to make a difference in the world. **This is the place where doing the right thing matters.** Doing the right thing is the compass that guides every decision we make-and we're proud to be globally recognized and awarded for our continuous corporate responsibility efforts. Clorox is a signatory of the United Nations Global Compact and the Ellen MacArthur Foundation's New Plastics Economy Global Commitment. The Clorox Company and its Foundation prioritize giving back to the communities we call home and contribute millions annually in combined cash grants, product donations, and cause-marketing. For more information, visit TheCloroxCompany.com and follow us on social media at @CloroxCo. **Our commitment to diversity, inclusion, and equal employment opportunity.** We seek out and celebrate diverse backgrounds and experiences. We're always looking for fresh perspectives, a desire to bring your best, and a nonstop drive to keep growing and learning. Learn more about our Inclusion, Diversity, Equity, and Allyship (IDEA) journey here (*********************************************** . The Clorox Company and its subsidiaries are an EEO/AA/Minorities/Women/LGBT/Protected Veteran/Disabled employer. Learn more to Know Your Rights (*********************************************************************************************** . Clorox is committed to providing reasonable accommodations for qualified applicants with disabilities and disabled veterans during the hiring and interview process. If you need assistance or accommodations due to a disability, please contact us at ***************** . Please note: this inbox is reserved for individuals with disabilities in need of assistance and is not a means of inquiry about positions/application statuses. The Clorox Company and its subsidiaries are an EEO/AA/ Minorities/Women/LGBT/Protected Veteran/Disabled employer.

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

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

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Green Card and USC :- At least 7+ years of overall experience HDFS architecture and understanding of all critical architectural concepts including type of nodes, node interaction, YARN, Zoo Keeper, and Map reduce etc . Hand on experience in Hive: All concepts including Hive queries, UDF, Different file formats like ORC, AVRO, and Parquet etc. Hand on experience in developing Sqoop, Spark. Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing, look ups, transformation, data versioning etc. Hand on experience in developing Oozie workflow definition and execution Knowledge of a HDFS distribution preferably Cloudera. Understanding of Monitoring and operational capabilities of the distribution Knowledge of Flume, Kafka is a plus Hand on experience in programming languages like Java, Python, Perl. At least 4 years of experience in translating functional /non-functional requirements to system requirements. Experience in working with business users to analyze and understand business data and scenarios. Ability to work in a team environment with client interfacing skills. Experience and desire to work in a Global delivery environment. Experience leading medium to large sized teams. CloudEra Certification Knowledge of PLSQL. Job Description:- At least 7+ years of overall experience HDFS architecture and understanding of all critical architectural concepts including type of nodes, node interaction, YARN, Zoo Keeper, and Map reduce etc . Hand on experience in Hive: All concepts including Hive queries, UDF, Different file formats like ORC, AVRO, and Parquet etc. Hand on experience in developing Sqoop, Spark. Experience in processing structured data - Warehousing Concepts like de-duplication, cleansing, look ups, transformation, data versioning etc. Hand on experience in developing Oozie workflow definition and execution Knowledge of a HDFS distribution preferably Cloudera. Understanding of Monitoring and operational capabilities of the distribution Knowledge of Flume, Kafka is a plus Hand on experience in programming languages like Java, Python, Perl. At least 4 years of experience in translating functional /non-functional requirements to system requirements. Experience in working with business users to analyze and understand business data and scenarios. Ability to work in a team environment with client interfacing skills. Experience and desire to work in a Global delivery environment. Experience leading medium to large sized teams. CloudEra Certification Knowledge of PLSQL. Qualifications Basic Qualifications :- Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of experience within the Information Technologies. Additional Information Note:- This is a Full-Time & Permanent job opportunity for you. Only US Citizen , Green Card Holder , GC-EAD , H4-EAD & L2-EAD can apply. No OPT-EAD, H1B & TN candidates please. Please mention your Visa Status in your email or resume .

We are seeking a motivated Data Scientist with strong technical skills in machine learning and a passion for continuous learning. The ideal candidate will have foundational experience in building predictive and prescriptive models using Python, PySpark, and modern ML frameworks (TensorFlow, PyTorch, XGBoost, LightGBM). This role requires the ability to write production-ready code, develop automated model monitoring workflows, create visualization dashboards, and work collaboratively in Agile environments with cross-functional teams. This position is 4 days in office, 1 day remote per week, based at our corporate headquarters in Raleigh, North Carolina (North Hills) Key Responsibilities: Model Development & Technical Expertise Design and implement predictive and prescriptive models for regression, classification, and optimization problems. Apply advanced techniques such as structural time series modeling and boosting algorithms (e.g., XGBoost, LightGBM). Develop and tune machine learning models using Python, PySpark, TensorFlow, and PyTorch. Write efficient, production-ready code and frameworks optimized for scalability and deployment. Build automated workflows for model monitoring and performance evaluation. Create dashboards using tools like Databricks and Palantir to visualize key model metrics like model drift, shapley values etc. Rapidly prototype and test hypotheses to validate model approaches. Collaboration & Communication Should be a team player and should have a strong desire to learn new technologies and methodologies. Agile Execution Operate effectively in Agile environments, contributing to iterative development cycles and sprint planning. Adapt quickly to changing priorities while maintaining high standards of quality and innovation. Education & Experience: 1+ years of experience in Data Science, Machine Learning, AI/GenAI. Master's degree in computer science, Statistics, Operations Research, Mathematics or similar. Familiarity of GenAI and agentic solutions, Retrieval-Augmented Generation (RAG) and model distillation is a plus. Preferred: Experience in Retail Industry AI/ML certifications in Vertex AI/Databricks/AWS. California Residents click below for Privacy Notice: ***************************************************

As a Senior Data Scientist II, you will leverage your advanced analytical skills to extract insights from complex datasets. Your expertise will drive data-driven decision-making and contribute to the development of innovative solutions. You will collaborate with cross-functional teams to enhance business strategies and drive growth through actionable data analysis. · Leading the development of advanced AI and machine learning models to solve complex business problem · Working closely with other data scientists and engineers to design, develop, and deploy AI solutions · Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs · Building models, performing analytics, and creating AI features · Mentoring junior data scientists and provide guidance on AI and machine learning best practices Working with product leaders to apply data science solutions We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements 3-5+ years of professional experience (POST GRAD) as a delivery-focused Data Scientist or ML Engineer Understand how LLMs integrate to complex systems Deep understanding of RAG Strong in Python Expeirence creating AI Agents and Agentic Workflows Masters and PHD

Akkodis is seeking a Qlik Data Engineer for a Contract with a client in Raleigh, NC(Remote). You will design and automate scalable data ingestion pipelines and implement optimized data models for efficient storage and retrieval. Proficiency in Qlik platforms and strong SQL expertise is essential for success in this role. Rate Range: $49/hour to $53/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Qlik Data Engineer job responsibilities include: * Design and develop scalable ETL/ELT pipelines using Qlik tools (Qlik Replicate, Qlik Compose) for batch and real-time data processing. * Automate data ingestion and application reloads using Qlik Automate or scripting (e.g., Python) to improve efficiency. * Implement and optimize data models in Snowflake schema for efficient storage and retrieval. * Monitor and troubleshoot data integration processes, ensuring performance and resolving bottlenecks. * Collaborate with cross-functional teams to gather requirements and deliver actionable data solutions. * Ensure data quality and governance by implementing validation frameworks and compliance measures. Required Qualifications: * Bachelor's degree in computer science, Information Technology, or related field. * 3-7 years of experience in data engineering and Qlik platform development. * Proven expertise in Qlik tools (Qlik Replicate, Qlik Compose, Qlik Sense) and strong proficiency in SQL for data integration and transformation. * Hands-on experience with Snowflake and AWS cloud services, along with knowledge of ETL/ELT processes and data modeling techniques. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ****************************. Pay Details: $49.00 to $53.00 per hour Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Equal Opportunity Employer/Veterans/Disabled Military connected talent encouraged to apply To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to ************************************************* The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: * The California Fair Chance Act * Los Angeles City Fair Chance Ordinance * Los Angeles County Fair Chance Ordinance for Employers * San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: * Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. * Analyze large, complex datasets to extract insights and support business decision-making. * Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: * Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. * Act as a subject-matter expert in data engineering and provide guidance on best practices. * Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: * Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. * Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: * Follow and advocate for SDLC best practices in data engineering projects. * Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: * Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. * Education: Masters degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: * Programming: Advanced expertise in Python; experience with R is a plus. * Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. * Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. * SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. * Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. * Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: * Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). * Familiarity with Azure Functions, Event Grid, and Logic Apps. * Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). * Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. * Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

Job DescriptionDPR is looking for an experienced AI Data Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.Responsibilities Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR's capabilities in knowledge representation and data understanding. Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. Participate in all phases of the project lifecycle and lead data architecture initiatives. Qualifications Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. 5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. 3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. 3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. Strong proficiency in SQL, Python, and PySpark. Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs. Skilled in orchestrating and automating data pipelines within a DevOps framework. Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

Job Title: DataOps Externalisation Engineer Hours/Shift worked: Standard US hours EST/CST Stakeholder Interaction: Internal & External- Internal Stakeholders Required to travel or work remotely - No travel required Key Responsibilities: Operates, challenges, replenishes consumable supplies, cleans equipment, and all the duties needed by the business in accordance with cGMPs, Batch Documentation, SOPs, ZSPs and JSAs as required and responsible for maintaining inspection readiness of area with minimal supervision. Actively participates and owns monitoring equipment for excessive rejects/ stoppages and utilizes performance data to escalate any problems occurring in the area that affects product quality, safety and other aspects of line performance. Trained in the CLIENT Production System standards (i.E., 5s, standard work, problem solving, Gemba, process confirmations, and performance management) towards the goal of Zero Accidents, Zero Defects, and Zero Waste. Participates in performance management entry, steps 1-3 of problem solving, and performing/maintaining OSW and 5S. Delivers against safety, quality, waste & performance objectives defined by strategy deployment and identifies and recommends areas for process improvement or alternative operating methods to increase efficiency. Recognized as an expert on operations/process and possesses the ability to troubleshoot and resolve minor equipment production stoppages. Operator possesses considerable knowledge of the job and is reliable and able to produce high quality and high quantity work. Utilizes systems/applications required for job performance (i.E., DELTA, my Learning, Free Weigh, DISY, Active Plant, IP21, SAP basic transactions for meeting production supply, etc.). Works in coordination with other associates, assistants, and/or technicians to carry out daily job responsibilities, including recognizing and assisting with troubleshooting technical issues and providing information to the next supervisory level. Demonstrates the ability to describe the technological theory of operation, product flow through equipment, and able to identify the function and purpose of all sensors, limit switches, and proximity sensors. Demonstrates the ability to conduct equipment set up changeovers and start of batch activities to the designed specifications without start up issues. Ability to certify on multiple technologies and flow to the work as needed by the business. Ability to certify on multiple technologies and flow to the work as needed by the business. Skills & Expertise: Degree + 5 Years Experience Cloud engineering experience Google cloud experience Cloud infrastructure experience Data engineering techniques experience Python experience would be preferable DevOps principles experience Azure DevOps experience GitLab experience

Incedo (************************** (formerly a part of $4Bn Group) is a technology solutions and services organization headquartered in the Bay Area, USA with workforce across North America, South Africa and India (Gurgaon, Bangalore). We specialize in Data & Analytics and Product Engineering Services, with deep expertise in Financial Services, Life Science and Communication Engineering. Our key focus is on Emerging Technologies and Innovation. Our end-to-end capabilities span across Application Services, Infrastructure and Operations. Position : Hadoop Consultant Location : Raleigh, NC Duration: Contract/Full Time Job Description: · Bachelors (IT/Computer Science Preferred); Master's Degree preferred (IT/Computer Science Preferred) or equivalent experience · 8-10 years of industry experience in analysing source system data and data flows, working with structured and unstructured data, and delivering data and solution architecture designs. · Experience with clustered/distributed computing systems, such as Hadoop/MapReduce, Spark/SparkR, Lucene/ElasticSearch, Storm, Cassandra, Graph Databases, Analytics Notebooks like Jupyter, Zeppelin etc · Experience building data pipelines for structured/unstructured, real-time/batch, events/synchronous/asynchronous using MQ, Kafka, Steam processing. · 5+ years of experience as a data engineer/solution architect designing and delivering large scale distributed software systems, preferably in large scale global business- preferably using open source tools and big data technologies such as Cassandra, Hadoop, Hive, Prestodb, Impala, HBase, Spark, Storm, Redis, Drill etc · Strong hands-on experience of programming with Java, Python, Scala etc. · Experience with SQL, NoSQL, relational database design, and methods for efficiently retrieving data for Time Series Analytics. · Knowledge of Data Warehousing best practices; modelling techniques and processes and complex data integration pipelines · Experience gathering and processing raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.) · Excellent technical skills - able to effectively lead a technical team of business intelligence and big data developers as well as data analysts. Optional Skills: · Experience in Machine Learning, Deep Learning, Data Science · Experience with Cloud architecture & service like AWS, Azure · Experience with Graph, Sematic Web, RDF Technologies · Experience with Text Analytics using SOLR or ElasticSearch Additional Information All your information will be kept confidential according to EEO guidelines.

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. PROGRAMMING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of programming experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is seeking an experienced Gameplay/AI Systems Programmer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework. This is a rare opportunity to help shape Epic's game engine while contributing to one of the world's most acclaimed games. In this role, you will Drive initiatives with minimal oversight to build strong, performant foundations that will last for years Analyze current FN LLM systems and develop a strategic plan to unify them into NPC systems Tackle complex low-level problems to optimize or deliver high-performance systems Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN What we're looking for Professional game development experience, including shipping AAA titles featuring gameplay AI Excellent communication and interpersonal skills, self-motivated and able to work independently Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding Strong C++ skills for building efficient gameplay AI systems and tools Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power Experience with live service games and consoles is a plus Experience or interest in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects is a bonus EPIC JOB + EPIC BENEFITS = EPIC LIFE We pay 100% for benefits for both employees and dependents and offer coverage for supplemental medical, dental, vision, critical illness, telemedicine, Life and AD&D, long term disability insurance as well as weekly indemnity (short term disability) and a retirement savings plan with a competitive employer match. In addition to the EAP (employee assistance program), we also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Pay Transparency Information The expected annual base pay range(s) for this position are detailed below. Each base pay range is relevant only for individuals who are residents of or will be expected to work within the specified locale. Compensation varies based on a variety of factors, which include (but aren't limited to) things such as skills and competencies, qualifications, knowledge, and experience. In addition to base pay, most employees are eligible to participate in Epic's generous benefit plans and discretionary incentive programs (subject to the terms of those plans or programs). British Columbia Base Pay Range$182,815-$268,128 CAD ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Job Title: Senior Data Engineer Workplace: Hybrid - Due to in-office requirements, candidates must be local to either Raleigh, NC or Charlottesville, VA. Relocation assistance is not available Clearance Required: Not required, BUT YOU MUST BE ELIGIBLE FOR A CLEARANCE Position Overview: Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks. Key Responsibilities: Data Engineering & Analysis: Develop, optimize, and maintain scalable data pipelines and systems in Azure environments. Analyze large, complex datasets to extract insights and support business decision-making. Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI. Collaboration & Consulting: Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions. Act as a subject-matter expert in data engineering and provide guidance on best practices. Translate complex technical concepts into actionable business insights for stakeholders. Azure Expertise: Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions. Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments. SDLC Proficiency: Follow and advocate for SDLC best practices in data engineering projects. Collaborate with software development teams to ensure seamless integration of data solutions into applications. Required Qualifications: Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments. Education: Master s degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: Programming: Advanced expertise in Python; experience with R is a plus. Data Tools: Proficient in SQL, Power BI, and Azure-native data tools. Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions. SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies. Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities. Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America. Preferred Skills and Qualifications: Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect). Familiarity with Azure Functions, Event Grid, and Logic Apps. Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop). Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows. Why apply to this position at Elder Research? Competitive Salary and Benefits Important Work / Make a Difference supporting U.S. national security. Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement. Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Job DescriptionDPR is looking for an experienced Data and MLOps Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas.Data & MLOps Engineer DPR is a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency at all levels. We are looking for a Data & MLOps Engineer to join our team and contribute to developing robust data solutions to support our AI, Machine Learning and Data Science team. Position Overview The Data & MLOps Engineer will be instrumental in the design and implementation of scalable, cloud-native solutions to meet the growing needs of our Data and AI team. The successful candidate will demonstrate the ability to abstract complexity and create reusable, scalable patterns that accelerate development. The Data & MLOps Engineer will design, build and support the data pipelines and ML infrastructure that enable our teams to deliver reliable, high-impact analytics and AI workflows, collaborating closely with data engineers, software developers, data scientists and product teams. The role bridges Data Engineering and ML Operations, focusing on scalable data processing, robust deployment practices and continuous monitoring and improvement of production systems. Responsibilities Design distributed, cloud-native, scalable architecture for data and ML pipelines Develop CI/CD pipelines and pipeline templates to be used across Data Engineering, AI/ML and Data Science teams Automate training, testing and deployment processes for machine learning models Develop and maintain ETL pipelines to move data in real-time/stream, on-demand, and in batch emphasizing security, reusability, and data quality Leverage Infrastructure-as-code platforms such as Terraform and Bicep to automate infrastructure provisioning and streamline deployments Implementation and management of APM and observability tools such as Azure App Insights or Datadog to monitor infrastructure, focusing on ML workloads Contribute to preventive maintenance, technical debt reduction, and the promotion of clean code principles Manage and maintain cloud infrastructure in both Azure and AWS environments Qualifications Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field 3-5 years of experience in Data Engineering, DevOps, MLOps, Software Engineering or Site Reliability Engineering Strong understanding of cloud infrastructure and experience working with at least one major cloud provider Excellent troubleshooting and debugging skills, with a focus on data integrity and system optimization Proficiency in at least one objected-oriented programming language, preferably python with hands-on experience in ml frameworks like TensorFlow, PyTorch or Scikit-learn Proficiency in SQL, preferably Snowflake SQL DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ENGINEERING - GAMES What We Do Unreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We're always improving on the tools and technology that empower content developers worldwide. What You'll Do Epic Games is seeking an experienced Gameplay/AI Systems Programmer with an interest in Machine Learning (ML) / Large Language Models (LLMs) to join the Fortnite Game Foundations team. Our group develops new technology for Unreal Engine 6, with a focus on adapting Fortnite's systems to it. Using Scene Graph and Verse, you will help redefine Fortnite's systems in this new framework. This is a rare opportunity to help shape Epic's game engine while contributing to one of the world's most acclaimed games. In this role, you will Drive initiatives with minimal oversight to build strong, performant foundations that will last for years Analyze current Fortnite LLM systems and develop a strategic plan to unify them into NPC systems Tackle complex low-level problems to optimize or deliver high-performance systems Ensure high-quality user experiences across all supported platforms, with attention to usability for developers new to UEFN What we're looking for Professional game development experience, including shipping AAA titles featuring gameplay AI Excellent communication and interpersonal skills, self-motivated and able to work independently Strong understanding of gameplay AI systems such as Behaviour Trees, Finite State Machines, and Pathfinding Strong C++ skills for building efficient gameplay AI systems and tools Empathy for creators new to programming and game development, with a drive to make AI easy to use without losing flexibility or power Experience with live service games and consoles is a plus Experience or interest in Machine Learning or LLM technologies; prior exposure through work, courses, or personal projects is a bonus EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.