Data Scientist jobs at Dynetics - 85 jobs

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $170,800 - $200,720 - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Team:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data. We focus on driving actionable insights and optimizing business outcomes across our customers' data ecosystems. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within our high-growth company. **About the Role:** As a Senior Data Scientist at Confluent, you will be a key player in helping define the product roadmap and driving revenue growth at Confluent. You will collaborate with our Product team and cross-functional partners across the organization. You will use data and analysis to identify and solve challenges, unlocking growth and adoption across our suite of products. This role requires a strong blend of technical skills, strategic thinking and leadership skills to influence strategy and investment decisions. **What You Will Do:** + Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area + Work across the org to define and measure success metrics for new features and initiatives + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making + Peer review teammates' work and provide feedback, working to upskill more junior team members **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 7+ years of experience in Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL) and scripting languages (e.g. Python). + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience with A/B testing and experiment best practices + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience in SaaS/Product-led Growth companies **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/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.

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:** $147,000/year to $208,000/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.

About Us Brockwell Technologies, Inc. (BTI) was founded in 1998 as a Woman Owned Small Business headquartered in Huntsville, AL. We provide top tier technical and engineering support services to some of the industry's largest company and government organizations. We believe creating a great employment experience starts with investing in our people, because they are our greatest asset. BTI is a six-time winner of the Huntsville/Madison County Best Places to Work award and certified as a "Great Place to Work". To learn more about our company, please click here to view our company website. What We Can Offer You Great Company Culture - We've been recognized by multiple organizations like Best Places to Work, Great Place to Work, Glassdoor for our workplace culture Employer Paid Benefits - Vision, Basic Life and AD&D (Employee Only), Short Term Disability, Long Term Disability, Telemedicine, and Employee Assistance Program for employees and their families Paid Time Off - We provide a generous PTO plan that graduates quickly with the years of service, company paid holidays, and we offer employees a PTO payout Health Benefits - Blue Cross Blue Shield medical with FSA option Dental Benefits Retirement - 401(K) Plan offered to all part-time and full-time employees aged 21 or older, we offer employees an employer contribution match, you are immediately vested, and at no cost to you access to a personal financial planner Education - We provide both tuition reimbursement and continuing education/training reimbursement Flexible Work Models - In office, work-from-home, or hybrid schedules (determined by our customer) Other Benefits - Dependent Care Flexible Spending Account, Voluntary Term Life Insurance and AD&D, Voluntary Spouse Life and AD&D, Voluntary Dependent Child Life and AD&D, Voluntary Accident, Referral Bonus Program. : Brockwell Technologies, Inc. (BTI) is seeking a Full Time Data Scientist to support our customer in Huntsville, AL. ** If candidate lives 51+ miles outside of Huntsville, AL - Remote work is authorized for this position ** ** If candidate lives within 50 miles of Huntsville, AL - Hybrid work is authorized for this position ** About the Position Under general direction, apply knowledge of mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into analytic solutions. Develop and maintain data visualizations using Tableau. Evaluate accuracy and quality of data sources as well as the designed models. Evaluate new and existing data sources, processes, and architecture to develop recommendations. May use expertise to design, develop code, test, and debug software in multiple programming languages. May work in one or several areas such as equipment or software design, engineering evaluation, or test configuration management procedures, statistical analysis, and modeling. Minimum Qualifications To be considered for this position, you must meet the following minimum qualifications listed below: U.S. Citizenship is required Active Secret Clearance or ability to obtain Strong Tableau visualization development skills Strong Oracle data analysis skills and ability to write/read SQL Experience in data analytics, predictive analytics, mathematics, statistics, or similar field Experience developing predictive or statistical models such as regressions, decision trees, neural networks, developing simulations, or performing optimizations using ILOG CPLEX, AnyLogic, or similar software package Demonstrated skill and experience in analyzing data using Excel or other methods Experience using SQL or other programming language to write complex queries, perform data analysis, extract data, and manipulate data Experience in data preparation, manipulation, and cleansing for large datasets Minimum Experience This position requires a minimum of either of the two options listed below: 12+ years of experience with a Bachelor's Degree 10+ years of experience with a Master's Degree Education/Certifications Bachelor's or Master's Degree Security Clearance This position requires an active DoD Secret Security Clearance government security clearance as a condition for placement and continued employment. Applicants must be a U.S. citizen for consideration. Candidates selected for this position will be subject to a background investigation and must meet eligibility requirements for access to classified information U.S. Citizenship is required. BTI is an EEO/M/F/Veteran/Disabled Employer We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The qualifications listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. **Candidates selected for this position will be subject to a background investigation and must meet eligibility requirements for access to classified information

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications Join KLA's Service Supply Chain team as a Summer Intern in Machine Learning! Our service supply chain supports a wide range of spare parts-from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes. As an intern, you will: Build a graph representation of KLA's spare parts demand network to enable predictive modeling and other advanced analytics. Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand. Explore and apply graph-based approaches for network representation and prediction. Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal. Collaborate with the supply chain and planning teams to integrate findings into actionable strategies. Utilize Linux command line tools and scripting for data processing and workflow automation. This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges. Minimum Qualifications Preferred Qualifications Strong proficiency in Python programming. Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras). Familiarity with graph theory and its applications in machine learning is a plus. Comfort with Linux command line and basic scripting. Solid understanding of probability, statistics, and data analysis and visualization. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Minimum Qualifications Enrollment in a graduate program (Master's or Ph.D.) in a relevant field. Demonstrated experience in developing and applying machine learning models. Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control). Ability to learn new tools and technologies quickly. Collaborative mindset and willingness to work in a team environment. Base Pay Range: $0.00 - $0.00 Per HourPrimary Location: USA-MI-Ann Arbor-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at ************************** or at *************** to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ************************** to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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:** $147,000/year to $208,000/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.

Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Ai Infra / Gen AI Cloud Engineering team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data/Computational Scientist to join our Cloud Engineering team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MCP and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. You will be responsible for identifying, solutioning, and implementing AI solutions to the corresponding GPU IaaS or PaaS. **Qualifications and experience** + Doctoral or master's degree in computer science or equivalent technical field with 10+ years of experience + Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). + Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. + Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. + Practical experience with setting up and finetuning large OpenSearch Clusters. + Experience in setting up data ingestion pipelines with OpenSearch. + Experience with search algorithms, indexing, optimizing latency and response times. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP) + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Ability and passion to mentor and develop junior machine learning engineers. + Proficient in Python and shell scripting tools. **Preferred Qualifications** : + PhD/Masters in related field with 5+ years relevant experience + Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store + Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Experience with semantic search, multi-modal search and conversational search. + Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. + Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). + Experience in diagnosing, fixing, and resolving issues in AI model training and serving. **Responsibilities** **Responsibilities** As part of the **OCI Gen AI Cloud Engineering team** for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. 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. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. + Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. + You will dive deep into model structure to optimize model performance and scalability. + You will build state of art solutions with brand new technologies in this fast-evolving area. + You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. + You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. + Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. + Be an enthusiastic, self-motivated, and a great collaborator. + Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $113,100 to $185,100 per annum. May be eligible for equity. Eligible for commission with an estimated pay mix of 70/30. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/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.

The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning (ML), and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors, from fraud detection to cancer research, to national intelligence, we need a seasoned data scientist like you to help find the answers in the data. On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide and mentor your team as you oversee the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. As a technical leader, you'll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can't wait. You Have: 8+ years of experience in data science or data analytics Experience in Python and with using data science languages and tools, including Git, GitLab, or GitHub, JavaScript, HTML, and CSS Experience designing, testing, and validating the quality of the data and data processes, and analyzing and reporting results with actionable insights Experience in finding and designing new approaches to handling, analyzing, and using large volumes of data sets Experience solving complex data and storage issues, such as issues with data handling, search, and retention Experience designing improved data search processes and utilizing big data technologies Knowledge of data science models to analyze large amounts of data and create valuable insights Ability to lead or design ML, statistical analysis, and data analysis tasks Top Secret clearance HS diploma or GED Nice If You Have: Bachelor's degree preferred; Master's degree a plus Program Management Institute Agile Certified Practitioner (PMI-ACP) or Project Management Professional (PMP) Certification Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. DRE1

SAIC accepts applications on an ongoing basis and there is no deadline. SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom. Required Education and Experience: Bachelors and five (5) years of experience; four years of experience in lieu of degree. Strong Tableau visualization development skills. Strong Oracle data analysis skills and ability to write/read SQL. Experience in data analytics, predictive analytics, mathematics, statistics, or similar field. Experience developing predictive or statistical models such as regressions, decision trees, neural networks, developing simulatins, or performing optimizations using ILOG CPLEX, AnyLogic, or similar software package. Experience using SQL or other programming language to write complex queries, perform data analysis, extract data, and manipulate data. Experience in data preparation, manipulation, and cleansing for large datasets. Required Security Clearance: Must have an active secret clearance on first day of employment. Preferred Skills and Experience: Denodo, Python. Experience working in AWS cloud environment/AWS Certification. Experience using IBM SPSS Modeler, SAS Enterprise Miner or similar tools. Prior Army Experience. Vantage. SAIC is currently hiring a Tableau Data Scientist to help support the Logsa Lite Army Contract. Job Duties: Apply knowledge of mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into analytic solutions. Develop and maintain data visualizations using Tableau. Evaluate accuracy and quality of data sources as well as the designed models. Evaluate new and existing data sources, processes, and architecture to develop recommendations. May use expertise to design, develop code, test, and debug software in multiple programming languages. May work in one or several areas such as equipment or software design, engineering evaluation, or test configuration management procedures, statistical analysis, and modeling.

SAIC is currently hiring a Tableau Data Scientist to help support the Logsa Lite Army Contract. * Apply knowledge of mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into analytic solutions. * Develop and maintain data visualizations using Tableau. * Evaluate accuracy and quality of data sources as well as the designed models. * Evaluate new and existing data sources, processes, and architecture to develop recommendations. * May use expertise to design, develop code, test, and debug software in multiple programming languages. * May work in one or several areas such as equipment or software design, engineering evaluation, or test configuration management procedures, statistical analysis, and modeling. Qualifications Required Education and Experience: * Bachelors and five (5) years of experience; four years of experience in lieu of degree. * Strong Tableau visualization development skills. * Strong Oracle data analysis skills and ability to write/read SQL. * Experience in data analytics, predictive analytics, mathematics, statistics, or similar field. * Experience developing predictive or statistical models such as regressions, decision trees, neural networks, developing simulatins, or performing optimizations using ILOG CPLEX, AnyLogic, or similar software package. * Experience using SQL or other programming language to write complex queries, perform data analysis, extract data, and manipulate data. * Experience in data preparation, manipulation, and cleansing for large datasets. Required Security Clearance: * Must have an active secret clearance on first day of employment. Preferred Skills and Experience: * Denodo, Python. * Experience working in AWS cloud environment/AWS Certification. * Experience using IBM SPSS Modeler, SAS Enterprise Miner or similar tools. * Prior Army Experience. * Vantage. Overview SAIC accepts applications on an ongoing basis and there is no deadline. SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

SAIC is currently hiring a Tableau Data Scientist to help support the Logsa Lite Army Contract. + Apply knowledge of mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into analytic solutions. + Develop and maintain data visualizations using Tableau. + Evaluate accuracy and quality of data sources as well as the designed models. + Evaluate new and existing data sources, processes, and architecture to develop recommendations. + May use expertise to design, develop code, test, and debug software in multiple programming languages. + May work in one or several areas such as equipment or software design, engineering evaluation, or test configuration management procedures, statistical analysis, and modeling. **Qualifications** **Required Education and Experience:** + Bachelors and five (5) years of experience; four years of experience in lieu of degree. + Strong Tableau visualization development skills. + Strong Oracle data analysis skills and ability to write/read SQL. + Experience in data analytics, predictive analytics, mathematics, statistics, or similar field. + Experience developing predictive or statistical models such as regressions, decision trees, neural networks, developing simulatins, or performing optimizations using ILOG CPLEX, AnyLogic, or similar software package. + Experience using SQL or other programming language to write complex queries, perform data analysis, extract data, and manipulate data. + Experience in data preparation, manipulation, and cleansing for large datasets. **Required Security Clearance:** + Must have an active secret clearance on first day of employment. **Preferred Skills and Experience:** + Denodo, Python. + Experience working in AWS cloud environment/AWS Certification. + Experience using IBM SPSS Modeler, SAS Enterprise Miner or similar tools. + Prior Army Experience. + Vantage. REQNUMBER: 2600040 SAIC is a premier technology integrator, solving our nation's most complex modernization and systems engineering challenges across the defense, space, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration; enterprise IT, including cloud services; cyber; software; advanced analytics and simulation; and training. We are a team of 23,000 strong driven by mission, united purpose, and inspired by opportunity. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $6.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see Working at SAIC. EOE AA M/F/Vet/Disability

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

BAE Systems is looking for a dynamic individual, self-motivated, with data and computing modernization experience, to join our team as a Principal Data Scientist providing support to the United States Army Europe-Africa's (USAREUR) data and computing modernization efforts required to configure and integrate systems that support mission command decisionmaking, enhance interoperability and C2 data sharing between US, NATO and coalition partners, and support the command s concept for distributed command post operations. Specific efforts include support to analyze, design, and deploy, advanced technology software modeling and simulation solutions to add capability and improve performance to the microelectronics-based Command, Control, Communications, Computers and Information Management (C4IM), intelligence collection and analysis, Command and Control (C2) logistical systems. The individual will provide technical, operational, and advisory services to enable the development of this advanced secure modeling and simulation capabilities for C4IM, intelligence collection and analysis, C2 and logistical responsibilities. The Principal Data Scientist will research and enable processing of structured and unstructured data to derive patterns, trends, and correlations and to enable entity extraction, disambiguation, common operating picture solutions, visualization, and other data-related support. Implement improvements to data entity extraction, entity resolution, pattern extraction, link analysis, human and social-network links/connections, cloud online analytical processing, data frameworks, visualization support, and related algorithms. Create, modify, and maintain software capabilities that extract insight from data, to include information, software applications, machine learning models, automation, and other software components. This position will be hybrid. Work locations will include Sterling, VA; Rockville, MD; Mount Laurel, NJ; Orlando, FL; Huntsville, AL. Other major BAE Systems work locations may also be considered. **Required Education, Experience, & Skills** Minimum education and years of service required: 10 Years with HS 8 Years with AA 6 Years with BS 4 Years with MS 2 Years with PhD Bachelor's Degree or minimum of 10 years of experience May substitute equivalent experience, training and/or certifications for the degree. Relevant experience is job-related work that provides the necessary knowledge, skill, and abilities to perform in the role Working knowledge and ability to use Microsoft Office **Preferred Education, Experience, & Skills** Knowledge of DoD Acquisition Regulations Experience to include classroom work with modeling and simulation Previous experience supporting the United States Army Europe-Africa s (USAREUR-AF) data and computing modernization efforts **Pay Information** Full-Time Salary Range: $115779 - $196825 Please note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. Employee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics. **Principal Data Scientist** **119473BR** EEO Career Site Equal Opportunity Employer. Minorities . females . veterans . individuals with disabilities . sexual orientation . gender identity . gender expression

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $170,800 - $200,720 - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Team:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data. We focus on driving actionable insights and optimizing business outcomes across our customers' data ecosystems. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within our high-growth company. **About the Role:** As a Senior Data Scientist at Confluent, you will be a key player in helping define the product roadmap and driving revenue growth at Confluent. You will collaborate with our Product team and cross-functional partners across the organization. You will use data and analysis to identify and solve challenges, unlocking growth and adoption across our suite of products. This role requires a strong blend of technical skills, strategic thinking and leadership skills to influence strategy and investment decisions. **What You Will Do:** + Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area + Work across the org to define and measure success metrics for new features and initiatives + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making + Peer review teammates' work and provide feedback, working to upskill more junior team members **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 7+ years of experience in Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL) and scripting languages (e.g. Python). + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience with A/B testing and experiment best practices + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience in SaaS/Product-led Growth companies **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Requirements Qualifications: • Strong Tableau visualization development skills • Strong Oracle data analysis skills and ability to write/read SQL • Experience in data analytics, predictive analytics, mathematics, statistics, or similar field • Experience developing predictive or statistical models such as regressions, decision trees, neural networks, developing simulations, or performing optimizations using ILOG CPLEX, AnyLogic, or similar software package • Demonstrated skill and experience in analyzing data using Excel or other methods • Experience using SQL or other programming language to write complex queries, perform data analysis, extract data, and manipulate data • Experience in data preparation, manipulation, and cleansing for large datasets Education and years of experience: MA/MS and 10+yrs experience or BA/BS w/12+yrs experience About Us: CompQsoft Inc. Established in 1997, headquarters in Houston, TX and office in Leesburg, VA. CompQsoft offers a range of comprehensive Cyber Security, Infrastructure, Cloud solutions, ERP implementation, Business Intelligence, Application development, Ecommerce applications and Management consulting services. CompQsoft is Certified CMMI Level 3 practitioner for Development and Services, ISO 9001:2015, ISO 27001:2013 & ISO 200001:2011 Certified. CompQsoft is a fast growing company with a strategy and methodology that is strongly focused on the success of our clients, predominantly the Federal government. CompQsoft provides equal opportunity in all aspects of employment and in the working environment to all employees and applicants. CompQsoft does not take any nonmerit factors like race, color, religion, sex (gender), mental/physical disability, and age into account for purposes of recruitment, hiring and development.

For more than 30 years, ERC has been delivering the advantage needed to solve our customers' and the nation's toughest challenges. ERC is a trusted partner to the Defense and Space communities. We provide the advanced engineering, innovative technology, and subject-matter expertise to deliver the mission results our customers need to keep the nation safe and secure. Our unique solutions enhance readiness, optimize performance, and help ensure success in the air, on the ground and in space. An essential part of our success is our corporate culture built on respect, empowerment, and collaboration. Our culture elevates our people, ensuring they provide best-in-class service and solutions to our customers. We always strive to do the right thing. We believe that are our people are our best asset and human connection our greatest strength. Check us out on ERC.US Your role: In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data. Data Scientists are expected to use statistical techniques to help test teams make better decisions and improve their operations. What you'll do all day: BWork directly with test team and data engineers to develop tests and gather test insights using statistical methods and techniques. Use data science tools to improve data reliability, efficiency, and quality. Responsible for planning tests to meet statistical requirements, developing Extract, Transform, Load (ETL) pipelines for data, and performing statistical analysis of test data Responsible for leading the development of statistically valid test procedures, data collection, and analysis efforts in support of Army modernization priorities to include rotary and fixed-wing flight test, distributed Live, Virtual, and Constructive testing, missile flight test, and sensor testing May be required to attain a Class III flight physical to support experimental flight test in rotary wing and fixed wing flight test, as well as attain explosive handling certification in support of missile flight test requirements. You will love this job if you: Are a self-starter and require little oversight to complete given tasks? Enjoy a fast-paced work environment. Love working with diverse groups of individuals, including engineers and technicians. Are good at communicating with people. Have a positive attitude. Enjoy multitasking. Minimum requirements for this position: Minimum 4-year degree in Computer Science, Statistics, Mathematics, Data Science, Computer Engineering, or similar field. Deep knowledge of common programming languages (Python, R, Julia), data science packages and frameworks (Pandas, NumPy, Scikit-learn, tidyr, tidyverse). Background working with common data visualization tools (PowerBI, Tableau, etc.) and data visualization packages (Matplotlib, ggplot2, etc.) Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.) Understanding of statistics and probability (Probability distributions, Bayesian and frequentist statistics, etc.) Knowledge of common data database technologies (SQL and NoSQL databases, data lakes, data mesh, and data fabric). Ability to prepare, analyze, and effectively communicate the findings of data analysis to customers, RTC leadership, and outside stakeholders. Strong written/verbal communication skills. Must be able to obtain and maintain a Secret Clearance (U.S. Citizenship is required for all applicants) What we offer: Competitive salaries. Continuing education assistance. Professional development allotment. Multiple healthcare benefit packages. 401K with employer matching. Paid time off (PTO) along with federally recognized holiday schedule.

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Job Description Filenet or Datacap consultant - EAD or GC or CITIZENS Duration: 12 months plus Location: Lansing, MI TOP SKILLS: FileNet/DataCap Application Development Communication Navya ********************* ************ Additional Information If you are interested in the below position please forward your profile to navyar@usmsystems(dot)com or call me on ************

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is seeking a highly skilled Data Architect or Associate Data Architect to design, implement, and manage enterprise-level data solutions. This role combines expertise in database administration, data architecture, and modern data technologies to support business intelligence, data migration, and cybersecurity initiatives. The ideal candidate will work closely with or under the guidance of a Lead Architect to ensure alignment with organizational goals and best practices. This role requires a strong background in SQL development, data modeling, data architecture, and cloud-based platforms, along with a proven ability to optimize database performance and ensure data security. Job Requirements Key Responsibilities: * Work with the Lead Architect to design and implement enterprise data architecture, including conceptual, logical, and physical data models. * Guide and mentor Database Administrators and Developers in areas such as database optimization, security protocols, and troubleshooting. * Assist in leading data migration projects from on-premises systems (SQL Server) to modern platforms such as Azure, Vantage, and Dataverse. * Develop and maintain complex SQL functions, stored procedures, and queries for applications and business intelligence reporting. * Optimize database performance, including indexing, querying, and normalization. * Architect and manage ETL processes using tools like Azure Data Factory, and equivalent Microsoft stack technologies. * Architect data models and data flows optimized for business intelligence reporting and dashboarding. * Ensure database integrity, security, and compliance with industry standards (e.g., DISA, DoW). * Collaborate with stakeholders to gather requirements and deliver solutions that align with business objectives. * Maintain documentation, including schematics, configurations, performance metrics, user manuals, SOPs, and change management requests. * Implement and maintain security provisions to guard against unauthorized updates, copying, or destruction of databases. * Support risk management processes, including security technical implementation guides and plans of action and milestones. * Act as a final escalation point for complex database incidents, providing expert analysis and resolution strategies * Assign metadata tags, develop search strategies, and maintain a metadata library for data analytics. Required Skills and Qualifications: * BS in Computer Science and/or Computer Engineering or equivalent. * At least 7 years of experience in database architecture design and development. * Expertise in SQL development, including troubleshooting, debugging, and performance optimization. * Strong knowledge of relational database management systems, indexing, querying, and normalization. * Familiarity with integration patterns, SOA, REST, SOAP, and Enterprise Service Bus. * Knowledge of database schemas such as star schemas, snowflake schemas, and other data modeling techniques. * Have, or capable of obtaining within 6 months, Security+ CE, and a government approved computing education certification consistent with primary skills. * Excellent communication, leadership, and project management skills. * Ability to collaborate effectively with the Lead Architect, stakeholders, and cross-functional teams. Preferred Qualifications and Certifications: * Experience with cybersecurity data analysis and reporting. * Knowledge of Agile methodologies and CI/CD pipelines. * Familiarity with Vantage, Advana, or similar analytical engines. * Completion of Oracle Database SQL Exam (1Z0-071) is a plus. * Certifications such as: o Google Professional Data Engineer o Certified Analytics Professional (CAP) o Certified Data Management Professional (CDMP) o The Open Group Architecture Framework (TOGAF) We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************