Data Scientist Jobs in Pittsburgh, PA

Working at the Naval Nuclear Laboratory we foster pride in belonging to an organization whose culture is made up of these core values: Trust, Empowerment, and Collaboration. Our company promotes a positive culture while ensuring the safety and reliability of our nation's naval nuclear reactors, and training the Sailors who operate those reactors in the U.S. Navy's submarines and aircraft carrier Fleets. Looking for a lifetime career? Apply today! Job Description The Naval Nuclear Laboratory's Component & Chemistry Technology department is seeking a data engineer to advance digital transformation throughout the department. You will combine strong data skills with end user centricity to improve data quality, implement new data pipelines, and enable easy access to and analysis of the data. The solutions you develop will help subject matter experts across department increase efficiency and productivity, enforce high quality, make better decisions, and deliver better products to the Navy. Required Combination of Knowledge and Skill Bachelor's degree from an accredited college or university in engineering or science related field and 6 years of relevant experience; or Master's degree from an accredited college or university in engineering or science related field and 4 years of relevant experience; or PhD degree from an accredited college or university in engineering or science related field and 1 year of relevant experience; or Currently or previously Shift Supervisor Part I qualified; or EDO qualified and 2 years EOOW qualified in the Nuclear Operations Program; or 3 years SRE qualified and Water Instructor and Refueling Facility Area Refueling Engineer and Fuel and Barrier Shift Supervisor (ECF only); or SRE qualified and 6 years of experience. Preferred Skills • Ability to create and deploy data engineering solutions without technical mentorship needed • Proficiency in (or ability to quickly learn) SQL and experience with relational and NoSQL databases • Proficiency in Python or equivalent programming language for data manipulation and processing • Knowledge of big data technology • Experience with agile methodologies • Ability to understand and incorporate user feedback • Strong troubleshooting and problem-solving skills, with attention to detail • Strong verbal and written communication skills, particularly data visualization • Ability to work effectively both individually as well as in a small team Compensation and Benefits Health, Dental, Vision & Voluntary Benefits Disability, Life & Accident Insurance 401(k) Savings program & Captial Accumulation Plan Personal & Medical Time Off Paid Parental Leave Flexible Work Schedules Tuition Assistance for Eligible Employees Student Debt Benefit Personal Time Off Sell Program Employee Assistance Program (EAP) Wellness Program Visit us online to view all NNL benefits! Pay Range $103,100.00 - $161,100.00 annually Salary information provided is a general guide line only. Annual salary is based upon candidate experience and qualifications, as well as market and business considerations The Naval Nuclear Laboratory is operated for the U.S. Department of Energy (DOE) by Fluor Marine Propulsion, LLC (FMP), a wholly owned subsidiary of Fluor Corporation. Naval Nuclear Laboratory personnel are FMP employees who work at four DOE facilities: Bettis Atomic Power Laboratory, Knolls Atomic Power Laboratory, Kenneth A. Kesselring Site, and Naval Reactors Facility, and at the U.S. Department of Defense-owned Nuclear Power Training Unit-Charleston. FMP employees also have an established presence at numerous shipyards and vendor locations. For nearly 70 years, the Naval Nuclear Laboratory has developed advanced nuclear propulsion technology, provided technical support, and trained world-class nuclear operators to ensure the safe and reliable operation of our nation's submarine and aircraft carrier Fleets. The Naval Nuclear Laboratory is a national asset solely dedicated to the Naval Nuclear Propulsion Program. We rely on the dedication and innovation of our nearly 8000 engineers, scientists, technicians, and support personnel. All candidates must be U.S. citizens. Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter. FMP is a government contractor and maintains a drug free workplace and workforce. All candidates must be able to pass a drug test in compliance with FMP company policy and 10 CFR 707. Marijuana is a Federal Schedule I controlled substance and illegal under Federal Law. Therefore, FMP is required to test for marijuana. Fluor Marine Propulsion, LLC is an Equal Opportunity Employer.

Locations: Boston | Chicago | Pittsburgh | Washington | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills TECHNOLOGIES: Programming Languages: Python #LI-DNI #BCGXjob Additional info FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Aquabyte is seeking a Data Scientist to help develop and deploy new algorithms to fish farms across the world. You'll be responsible for software and machine learning model development of our on-camera and cloud software. Remote Role (East Coast Time Zone Preferred): This is a remote position, with candidates expected to work within Eastern Time Zone hours. Preference will be given to applicants located in Pennsylvania, the Tri-State area (NY, NJ, CT), GA or New England, ensuring alignment with our team's operational needs and collaboration efforts. Our mission Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come. We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch. Our product We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team. The role As a Data Scientist you will be responsible for interacting and managing databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we focus on developing so on understanding the weight and health of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience. QualificationBS/MS in relevant technical degree3+ years of experience with data-science Strong coding ability; strong grasp of Python, SQLStrong database management skills Strong software engineering skills; knowledge of best practices, testing, and deployment Strong data analytics & modeling skills Bonus QualificationsFamiliarity with; snowflake, dbt, airflow, pandas Experience with Docker and cloud SW development (i.e. AWS) BenefitsCompetitive salaries and generous equity Unlimited vacation policy Flexible working hours + hybrid work policy Medical, vision, & dental insurance Retirement matching plan Potential travel to NorwayEvolve in a fast-paced environment Be able to shape a business in its early days Get ideas, feedback, and suggestions from other best-in-their-field colleagues Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow $130,000 - $170,000 a year Aquabyte takes a market-based approach to salary and equity. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location. Aquabyte is a private company headquartered in San Francisco, and is supported by NEA, Costanoa Ventures, and many other respected investors. At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don't satisfy all the requirements, and we will get back to you as soon as possible!

You'll be working in one of our offices in North America in our Life Sciences practice. You will collaborate with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a Principal Data Scientist in a technology development and delivery capacity. You will lead a team of cross functional technologists and practitioners to innovate alongside clients and client service teams to develop new solutions or enhance existing assets. This will involve leveraging advanced mathematics, stats and machine learning to derive structure and knowledge from raw data sets across various industry sectors that will enable solutions for many clients and amplify impact across a broad range of issues. You will mentor data scientists across multiple projects, ensuring statistical validity, training data, and overall analytics methodological approach align with client and asset development objectives. You will be on McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). In this role you will lead the development and own the data science and analytics roadmap of client-facing analytics assets across a broad range of topics. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams. You will bring distinctive statistical, machine learning, and AI competency to complex client problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey's scientific AI offering. As a Principal Data Scientist, you will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm's reputation in your area of expertise. You will act as an analytics translator with senior stakeholders while also advising clients throughout the stages of model development. You will help build our teams by collaborating with others across the practice and beyond as well as mentoring junior colleagues. * Master's degree with 8+ years or PhD degree with 7+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research * Thought leadership or people leadership experience (e.g. managed project teams or direct reports) * Experience in client delivery with direct client contact * Proven experience applying machine learning techniques to solve business problems * Proven experience in translating technical methods to non-technical stakeholders * Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain) * Experience with version control (GitHub) * ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision * Ability to write production code and object-oriented programming

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Scientist Senior within PNC's Data and Automation organization, you will be based in Pittsburgh, PA. Responsibilities include: • Developing machine learning/predictive models end-to-end (data preparation, modeling and evaluation, presentation, deployment) • Presenting results to stakeholders • Deriving insights from data (e.g., Python/SQL) • Deploying models via multiple pathways (batch, API, Shiny/Streamlit, etc.) PNC will not provide sponsorship for employment visas or participate in OPT or STEM OPT for this position.Job Description Performs analytical tasks on vast amounts of structured and unstructured data to extract actionable business insights. Participates in the data gathering, data processing and data mining of large and complex datasets. Develops algorithms using advanced mathematical and statistical techniques like machine learning to predict business outcomes and recommend optimal actions to management. Runs analytical experiments in a methodical manner to find opportunities for product and process optimization. Assists in the presentation of business insights to management using visualization technologies and data storytelling. May partner with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s) LicensesNo Required License(s) BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service. To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards. Disability Accommodations Statement If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call ************ and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO) PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Locations: Boston | Chicago | Pittsburgh | Washington | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. We Are BCG X We're a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world's most complex problems. Leveraging BCG's global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. Our Data Scientists and Senior Data Scientist are part of our rapidly growing team to apply data science methods and analytics to real-world business situations across industries to drive significant business impact. You'll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, creative, and communicative. What You'll Bring We are looking for dedicated individuals with a passion for data science, statistics, operations research and redefining organizations into AI led innovative companies. Successful candidates possess the following: * Comfortable in a client-facing role with the ambition to lead teams * Likes to distill complex results or processes into simple, clear visualizations * Explain sophisticated data science concepts in an understandable manner * Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) * Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data * Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients * Have strong project management skills TECHNOLOGIES: Programming Languages: Python #LI-DNI #BCGXjob Additional info FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. The first-year base compensation for this role is: Data Scientist I: $110,000 USD Data Scientist II: $145,000 USD Data Scientist III: $160,000 USD Senior Data Scientist: $190,000 USD At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees - and their eligible family members. * That's zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: * Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children * Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs * Dental coverage, including up to $5,000 in orthodontia benefits * Vision insurance with coverage for both glasses and contact lenses annually * Reimbursement for gym memberships and other fitness activities * Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan * Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement * Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) * Paid sick time on an as needed basis * Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

About the role Do you have experience in software estimation and process modeling? Are you a creative problem solver who enjoys seeking solutions to complex challenges? Do you want to help the Department of Defense (DoD) solve its toughest software estimation and measurement challenges? We want to meet you! The Software Measurement and Analysis (SEMA) team is looking for an analytical, customer-focused expert to help customers determine what software-intensive efforts should cost and to work with high-performing researchers and engineers on research and customer projects that advance the state of the art and the state of the practice of software project management. As a Software Measurement and Estimation Data Scientist at the SEI, you'll have the opportunity to work directly with DoD programs, participating on client and research teams that are leading the way in establishing new software estimation and measurement techniques. In this position, you'll be part of a mission-focused culture of collaboration and transparency, delivering timely, high-quality, high-impact work. You will collaborate with clients and researchers to apply quantitative techniques to assess costs, benefits, and the economic feasibility of alternatives. What you'll do * Continuously improve estimation processes and performance modeling technologies. * Identify emerging gaps and limitations in the current models as technology changes. * Develop, improve, and maintain cost estimation models for complex cyber-physical systems and software development projects. * Develop innovative approaches to detect problems early. * Collect, analyze, and evaluate historical benchmark data to provide expert opinion as a basis for assumptions and choice of methodologies. * Collaborate with development, finance, and procurement teams to collect data, align cost estimates with budgetary constraints, and present results. * Apply descriptive statistical methods and facilitate activities such as the Goal-Question-Indicator-Metric (GQIM) process to help stakeholders and customers identify appropriate measurement and displays. * Prepare detailed reports and present findings to senior management. Who you are * You have experience in software cost estimation and process modeling. * You are familiar with parametric cost estimation and modeling, such as COCOMO, SEER-SEM, PRICE, or QSM-SLIM. You may have a related certification from ICEAA or the Defense Acquisition University. * You have a solid understanding of software development lifecycles and methodologies. * You have financial analysis skills that center on understanding the financial impact of changes to software development costs. * You have strong analytical and problem-solving skills. * You have strong communication skills, both written and verbal. * You work effectively independently but also enjoy working with a team. * You deliver high-quality work and care about the impact of your work. * You have a bachelor's degree in statistics, data science, mathematics, or a related quantitative field or discipline with eight (8) years of experience, a master's degree with five (5) years of experience, or a PhD with two (2) years of experience. You are able to * Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, customer sites, and conferences on occasion (up to 25%). * Pass a background check and obtain and maintain an active Department of Defense security clearance. * Legally work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity. Who we are The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and artificial intelligence. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The Software Engineering Measurement and Analysis team is a group of technical professionals and researchers impacting DoD with data-driven decisions that optimize program execution and radically improve research methodology based on the latest advances in data science, data engineering, applied statistics, causal inference, and decision science. Location Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world. * Click here to view a listing of employee benefits * Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. * Statement of Assurance

Our Commitment to Diversity, Equity, and Inclusion Diversity, equity, and inclusion (DE&I) are integral to who we are as an organization. We believe that our workforce should reflect the vast diversity of the communities we serve and that diverse voices should be elevated and intentionally integrated into our work. We welcome individuals from non-traditional backgrounds, historically marginalized, or underrepresented groups to apply and join our team. Even if you feel as if you do not meet 100% of the qualifications, we still strongly encourage you to apply. The Pirates Why The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by: purposefully developing a player and people-centered culture; deeply connecting with our fans, partners, and colleagues; passionately creating lifetime memories for generations of families and friends; and meaningfully impacting our communities and the game of baseball. At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service. Job Summary The Pittsburgh Pirates are seeking a data scientist who can impact the organization's acquisition and player development through the development of core research models. The Research & Development team's mission is to rethink a changing game, discover competitive advantages, and scale data-informed decision-making across the organization. Ideal candidates are those who are motivated to deliver novel findings that they see all the way to direct impact with end-users. Our data scientists work both independently and collaboratively to break down complex problems into smaller steps and iterative solutions, presenting their work to personnel across Baseball Operations departments. We are building a team with complementary expertises that can tackle new questions across ball-tracking, player-tracking, biomechanical, and custom datasets-some of the most interesting and applicable data in the world! We are open to discussing local, remote, and hybrid options depending on your professional and academic experience. Responsibilities: Design and deploy core statistical or machine-learning models in the valuation, development, and other on-field spaces. Document and present iterative work to R&D and Baseball Operations stakeholders through a combination of written reports and live presentations.

Company :Allegheny Health Network : This job builds new analytical solutions which inform processes and operations at AHN. The incumbent designs, executes and synthesizes point analytics to support specific questions, programs or initiatives. The incumbent is a data-driven problem solver who understands and utilizes the Organization's strategies goals and processes to answer critical business and research questions by leveraging and synthesizing the large volume and variety of data available to them. Draws on tools and methods from statistics and machine learning to perform analysis, create predictive models, visualize data, and drive projects through to delivery. Continuously scans and tests new data sources, tools, and analytical techniques and partners with leading institutions and experts to contribute to our portfolio of next-generation analytic projects. ESSENTIAL RESPONSIBILITIES Consult with stakeholders to translate complex analytical results into actionable insights, tailored for specific audiences (e.g., business stakeholders, scientific publications, non-technical audiences). Develop clear and compelling reports, presentations, and data visualizations that connect high-level problem specifications, analytical methods, and results to business or scientific objectives. Demonstrate a deep understanding of the industry, data, and analytical methods through ongoing engagement with diverse audiences. Collaborate with stakeholders to understand their needs, processes, and initiatives, identifying opportunities to deliver value and scientific insights through analytical solutions. Outline new use cases, estimate potential impact, and identify required data elements to address complex problems. Assemble data sets by accessing relevant data from the organization's source data system, derived production sets, and publicly available sources. Secure and manage access to these data sources, documenting objectives, assumptions, and data collection processes. Select and apply advanced modeling and machine learning techniques, including regression models, tree-based learning, neural networks, clustering techniques, and natural language processing, to deliver insightful and accurate analyses. Ensure thorough research, documentation, and appropriate model selection. Provide guidance on future model maintenance, demonstrating technical flexibility and expertise in analytical approaches. Lead and coordinate complex data analysis projects, identifying the optimal path to deliver solutions for implementation or publication. Ensure timely delivery of high-quality results, ready for deployment or dissemination. Proactively research and develop new analytical skills and approaches. Build and maintain internal and external relationships to share knowledge and establish a strong subject matter expertise. Contribute to the field through external activities such as presenting at conferences, coordinating events, or publishing in professional journals. Lead and coordinate teams of data scientists and analysts to guide analysis and deliver complex projects. Other duties as assigned or requested. QUALIFICATIONS: Required Doctorate's degree in Statistics, Analytics, Mathematics, Physics, Computer & Information Science, Computational Biology, Economics, Experimental Psychology, Neuroscience, Engineering or other quantitative fields of study or relevant experience and/or education as determined by the company in lieu of Doctorate's degree. 10 years of experience in Data Analytics experience to include: 3 years utilizing Statistical Software, Large Datasets, and/or Data Visualization 3 years of Machine Learning and/or Advanced/Non-Standard Statistics 3 years of Healthcare industry experience 1 year in Human Subject Scientific Research and/or Industry Research and Development Substitutions None Preferred 3 years of experience in Scientific Research with multiple first author peer-reviewed publications in high impact journals. Principal Investigator / Published SKILLS: Analysis of business problems/needs Analytical and Logical Reasoning/Thinking Collaborative Problem Solving Data Analysis, SQL and Statistical Analysis Written and Oral Presentation Skills Verbal and Written Communication Skills SAS, Python, R, SPSS, MATLAB or similar experience Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement : This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( **************************************************************************************************** ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice

About the role Do you have experience in software estimation and process modeling? Are you a creative problem solver who enjoys seeking solutions to complex challenges? Do you want to help the Department of Defense (DoD) solve its toughest software estimation and measurement challenges? We want to meet you! The Software Measurement and Analysis (SEMA) team is looking for an analytical, customer-focused expert to help customers determine what software-intensive efforts should cost and to work with high-performing researchers and engineers on research and customer projects that advance the state of the art and the state of the practice of software project management. As a Software Measurement and Estimation Data Scientist at the SEI, you'll have the opportunity to work directly with DoD programs, participating on client and research teams that are leading the way in establishing new software estimation and measurement techniques. In this position, you'll be part of a mission-focused culture of collaboration and transparency, delivering timely, high-quality, high-impact work. You will collaborate with clients and researchers to apply quantitative techniques to assess costs, benefits, and the economic feasibility of alternatives. What you'll do Continuously improve estimation processes and performance modeling technologies. Identify emerging gaps and limitations in the current models as technology changes. Develop, improve, and maintain cost estimation models for complex cyber-physical systems and software development projects. Develop innovative approaches to detect problems early. Collect, analyze, and evaluate historical benchmark data to provide expert opinion as a basis for assumptions and choice of methodologies. Collaborate with development, finance, and procurement teams to collect data, align cost estimates with budgetary constraints, and present results. Apply descriptive statistical methods and facilitate activities such as the Goal-Question-Indicator-Metric (GQIM) process to help stakeholders and customers identify appropriate measurement and displays. Prepare detailed reports and present findings to senior management. Who you are You have experience in software cost estimation and process modeling. You are familiar with parametric cost estimation and modeling, such as COCOMO, SEER-SEM, PRICE, or QSM-SLIM. You may have a related certification from ICEAA or the Defense Acquisition University. You have a solid understanding of software development lifecycles and methodologies. You have financial analysis skills that center on understanding the financial impact of changes to software development costs. You have strong analytical and problem-solving skills. You have strong communication skills, both written and verbal. You work effectively independently but also enjoy working with a team. You deliver high-quality work and care about the impact of your work. You have a bachelor's degree in statistics, data science, mathematics, or a related quantitative field or discipline with eight (8) years of experience, a master's degree with five (5) years of experience, or a PhD with two (2) years of experience. You are able to Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, customer sites, and conferences on occasion (up to 25%). Pass a background check and obtain and maintain an active Department of Defense security clearance. Legally work for CMU in the United States. CMU will not sponsor or take over sponsorship of an employment visa for this opportunity. Who we are The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and artificial intelligence. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive systems. Our core purpose is to help organizations improve software engineering capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The Software Engineering Measurement and Analysis team is a group of technical professionals and researchers impacting DoD with data-driven decisions that optimize program execution and radically improve research methodology based on the latest advances in data science, data engineering, applied statistics, causal inference, and decision science. Joining the CMU team opens the door to an array of exceptional benefits. Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more! For a comprehensive overview of the benefits available, explore our Benefits page. At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations. Are you interested in an exciting opportunity with an exceptional organization?! Apply today! Location Pittsburgh, PA Job Function Software/Applications Development/Engineering Position Type Staff - Regular Full Time/Part time Full time Pay Basis Salary More Information: Please visit “Why Carnegie Mellon” to learn more about becoming part of an institution inspiring innovations that change the world. Click here to view a listing of employee benefits Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran. Statement of Assurance

Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking an inquisitive data scientist to join our team and work with our various datasets to find connections, knowledge, and potential issues in order to help our government clients make more informed decisions. Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. You will have the opportunity to expand and grow data-driven research across Govini, and lead new areas to apply advanced analytics to drive business results. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. You share our intolerance of mediocrity. You're uber-smart, challenged by figuring things out and producing simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward. You're scrappy. We like scrappy. We need a creative, out-of-the-box thinker who shares our passion and obsession with quality. This role is a full-time position located out of our office in Pittsburgh, PA. This role may require up to 25% travel Scope of ResponsibilitiesDesign experiments, test hypotheses, and build models for advanced data analysis and complex algorithms Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use within the Govini SaaS platform Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code Partner with internal Govini business analysts and external client teams to seek out the best solutions regarding data-driven problem solving Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers QualificationsUS Citizenship is RequiredRequired Skills:Bachelor's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field; Master's or PhD preferred Minimum 3 years of hands-on data science experience Minimum 3 years deriving key insights and KPIs for external and internal customers Regular development experience in PythonPrior hands-on experience working with data-driven analytics Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks) Ability to work independently with little supervision Strong communication and interpersonal skillsA burning desire to work in a challenging fast-paced environment Desired Skills:Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience working on agile/scrum teams Experience building datasets from common database tools using flavors of SQLExpertise with automation and streaming data Experience with major NLP frameworks (spa Cy, fasttext, BERT) Familiarity with big data frameworks (e.g., HDFS, Spark) and AWSFamiliarity with Git source control management Experience working in a product organization Experience analyzing financial, supply chain/logistics, or intellectual property data We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we're eager to hear from you. Govini is an Equal 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.

Posses a Master's degree or PhD in Engineering, Statistics, Machine Learning, Computer Science, Econometrics, or related quantitative fields Over 5 years of professional experience showcasing proven expertise in the development, implementation, and validation of Data Science Models, Data Engineering, and MLOps. Specialized skills include the development and implementation of Machine Learning algorithms such as SVM, neural networks, random forest, and XGboost, as well as expertise in hyperparameter tuning. Proficiency is demonstrated in scripting for data analysis using Python API, PySpark/Spark API, and familiarity with NoSQL, MYSQL, or PostgresSQL databases. Experience extends to building MIS infrastructure, dashboards, KPIs, and monitoring/interpreting report data to derive insights on ML model performance, business trends, and emerging risks. Demonstrating adeptness in model deployment and management using Docker and directory structures, the candidate possesses a robust understanding of Software Development Life Cycle (SDLC) methodologies. Proficient in cloud environments, particularly AWS and Snowflake. The individual has experience operating in continuous integration, continuous delivery (CI/CD) environments and collaborates effectively with Data Engineers and Software Architects to design Data Architecture. Additionally, the candidate has a track record of managing requirements and tasks using tools like Jira.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer. For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: ***********************************

Behaivior is a digital wellness company that uses behavioral health technology & wearables for relapse & overdose prevention. We help people stay on track with their recovery process by providing the right intervention at the right time, in real-time, and help care providers better serve clients. Senior Data Scientist The Senior Data Scientist will be providing expertise, guidance, and oversight in the areas of machine learning and data science for the Behaivior technical team. The Data Scientist role can start immediately. They will work on exciting and challenging projects, including a recently funded NSF protocol. They will also provide research support and will serve as the primary liaison to team members for technical research assistance. Qualifications: -MA or Ph.D. in data science or related field -AI/Machine Learning expert -Experience publishing/presenting research preferred -Extensive R&D background preferred -Grant writing experience preferred -Entrepreneurial experience preferred -Patent development experience preferred If interested, please email [email protected] Behaivior provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Sr Advanced Data Scientist (Senior Adv Software Engineer) Sr Advanced Data Scientist (Senior Adv Software Engineer) for Vocollect, Inc. in Pittsburgh, PA Responsibilities: Responsible for developing and supporting Honeywell's Voice Enterprise software platforms (VoiceConsole, VoiceCheck, VoiceLink) using Agile Scrum/SAFe methodologies and expected to use industry standard tool (e.g., Jira, Bitbucket Github, Confluence, etc.). Work directly with developers, testers, and product managers to deliver across the entire application life cycle (Concept, Design, Build, Deploy, Test, Release and Support). Perform software development on existing products while defining/designing next generation platform such as microservices architecture (Spring Boot), flexible API development (GraphQL), container orchestration (Kubernetes) and knowledge of migrating enterprise applications to Software-as-a-Service (SaaS) model to Azure cloud. Perform demos on features or concepts. Participate in the Secure Software Lifecycle activities with Global and Cyber-Security teams; interact cross-functionally with Honeywell global teams, partners and customers to address customer field issues; support the learning, mentoring and on-boarding of new and/or junior team members. Experience with mobile application development for creating and deploying across iOS and Android devices. ADDITIONAL INFORMATION: Location: Pittsburgh, PA 40 hours/week Employee Referral Fee: $1500 If offered employment must have legal right to work in U.S. EOE. YOU MUST HAVE: Qualified applicants must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, Information Systems, or related field, and 5 years of enterprise, webbased software development experience. Full term of experience must include: developing, scripting, testing and troubleshooting applications developed in Java plus one or more of the following languages: Javascript, React, Python, C/C++; working knowledge of Spring, Springboot, Struts, SQL/No-SQL, RESTful services, GraphQL; efficient with software version control tools (e.g, Bitbucket, SVN, Github, GitLab) and defect tracking tools (e.g., Jira, Bugzilla); demonstrated experience with cloud technologies including an understanding of modern microservice-based architectures and methodologies; experience converting enterprise applications to Software-as-a-Service solutions by migrating it to a cloud platform (e.g. Azure); experience using container orchestration tools (e.g. Kubernetes) for automating software deployment, scaling, and management; and knowledge of speech recognition technologies for transcribing spoken audio into text. Up to 10% domestics travel required. Telecommuting is permitted up to two (2) times per week. Additional Information * JOB ID: req481371 * Category: Engineering * Location: 2555 Smallman St, 2nd Fl,Pittsburgh,Pennsylvania,15222,United States * Exempt * Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

Overview At LMI, we transform national challenges into breakthrough solutions. With 60+ years of federal expertise, we're not just adapting to change-we're driving it. Our innovation ecosystem accelerates mission-critical capabilities, empowering government teams to achieve the impossible. Join us to solve high-stakes national security challenges, collaborate with top-tier federal technology experts, and make a direct impact on complex government missions. We are seeking a Senior Data Scientist who can independently develop, deploy, and optimize machine learning models within a software development environment. This individual will work closely with engineering, analytics, and product teams to design and implement cutting-edge AI solutions supporting advanced Army customer projects. At LMI, we're reimagining the path from insight to outcome at The New Speed of Possible™. Combining a legacy of over 60 years of federal expertise with our innovation ecosystem, we minimize time to value and accelerate mission success. We energize the brightest minds with emerging technologies to inspire creative solutioning and push the boundaries of capability. LMI advances the pace of progress, enabling our customers to thrive while adapting to evolving mission needs. Responsibilities Define analytical strategies to address mission-critical challenges and engage stakeholders, including Army leadership, to align solutions with strategic objectives. Manage Agile data activities. Lead the end-to-end development of machine learning models, including problem framing, data preparation, feature engineering, model selection, and evaluation. Deploy machine learning models into production systems, ensuring scalability, reliability, and integration with existing software platforms. Collaborate with software engineers and DevOps teams to implement automated pipelines for model deployment and monitoring. Conduct advanced data integration, modeling, and analysis to extract actionable insights and drive decision-making. Mentor junior team members and contribute to establishing best practices for AI and machine learning development. Qualifications Active DoD Secret Clearance required. Bachelors degree in computer science, engineering, or related field required. Graduate degree preferred. 10+ years relevant experience. Expertise in: Logistics and supply chain data Developing and deploying machine learning models in production environments. Big data technologies and distributed computing (e.g., Spark, Hadoop).

Our client is seeking an experienced Senior Data Scientist with AI expertise who has a strong background in Neo4j and Python. This role requires a deep understanding of graph databases, AI/ML algorithms, and data engineering while also playing a key role in pre-sales discussions to help drive business growth. Responsibilities: AI & Data Science Design, develop, and deploy AI/ML models leveraging Python and Neo4j (Graph Data Science Library). Apply advanced machine learning techniques to solve complex business problems. Work with graph-based machine learning for fraud detection, recommendation systems, and knowledge graphs. Optimize and fine-tune AI/ML models for scalability and performance. Graph Database & Big Data Build and maintain graph-based data models using Neo4j to analyze relationships and insights. Utilize Cypher query language to manipulate and extract insights from graph databases. Work with large-scale datasets and integrate Neo4j with cloud-based data pipelines. Presales & Client Engagement Partner with the sales and business development teams to present AI/ML solutions to clients. Lead technical discussions, proof of concepts (PoCs), and demos for potential clients. Translate business challenges into AI-driven solutions and provide strategic recommendations. Prepare technical proposals, solution architecture, and documentation to support pre-sales activities. Cloud & MLOps Deploy AI/ML models in cloud environments (AWS, Azure, or GCP). Utilize Kubernetes, Docker, and MLOps tools (MLflow, Kubeflow) for scalable deployments. Work with CI/CD pipelines for continuous integration and deployment of machine learning solutions. Requirements: Experience Range: 8+ Years Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Proven experience in ETL testing, data validation, and quality assurance. Strong understanding of ETL concepts, data warehousing, and database management. Proficiency in SQL and experience with ETL tools (e.g., Informatica, Talend, Apache Nifi). Familiarity with automated testing tools and frameworks is a plus. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment. Detail-oriented with a strong focus on data quality and accuracy.

We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18,000 colleagues now and together we will make the world a brighter place. The Senior Data Scientist develops innovative data science solutions based on technologies, tools, algorithms, and methods from the data science field. They develop solutions from ideation through prototyping and production deployment, including scaling of these solutions. Major Tasks and Responsibilities Responsibility for identifying, evaluating, and modeling relationships between diverse data types across various application areas, e.g., production, R&D, procurement, SCM, sales/marketing, and finance. Fully responsible for conducting both exploratory analysis and complex modelling tasks using methods and tools of statistical modeling, machine learning, and artificial intelligence. Furthermore, responsible to creating strategies and roadmaps for the creation, visualization, and operationalization of reusable analytical models and the required end-to-end processes from prototyping to scaling in production. Responsible for translating requirements into prototypes and MVPs while simultaneously populating and maintaining our use case pipeline, including evaluating individual use cases based on dimensions of importance, urgency, feasibility, and financial impact. Validation of the work of less senior colleagues, while supporting and training them in all aspects of data science, ML and AI Basic Qualifications Bachelor's degree in Mathematics, Physics, Statistics, Data Science, or a related field with 7+ years' experience in the data science domain; OR Master's degree with 5+ years' experience in the data science domain; OR PhD with 3+ years' experience in the data science domain Experience in project management and agile methods Experience working in an international environment with virtual teams Preferred Qualifications Master's degree or PhD preferred Knowledge and Skills Proficiency in programming languages for analysis and modeling Proficiency in data wrangling and manipulation Strong understanding of statistical concepts and methodologies Experience with machine learning algorithms Experience with cloud platforms Ability to craft compelling narratives that convey insights and engage stakeholders Collaborative, team player mindset Proven track record of quickly learning and applying knowledge to creatively solve problems #LI-Hybrid YOUR APPLICATION Are you as curious, courageous and colorful as we are? If so, we can offer you an exciting career opportunity. We look forward to receiving your application and resume. Become part of our team - apply now! Equal Employment Opportunity: Hiring and advancement are based on job-related requirements and on an individual's qualifications to perform a job. All aspects of employment are carried out free of discrimination or harassment based on race, color, religion, sex (including pregnancy), national origin, age, disabilities, genetic information, veteran status, sexual orientation, gender identity/gender expression or any unlawful criterion, existing under applicable federal, state, or local law. Contact Us Info-Hotline: ***************If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this site as a result of your disability. To make a request, please call **************.

Job Type: Contract/Full- Time Work Authorization: No Sponsorship The A.C.Coy Company has an immediate need for a Sr Cloud Data Engineer. Ideal candidate will be qualified with designing, developing, and implementing data models. Responsibilities Strategy & Planning Execute long-term strategic goals for data architecture vision and standards in conjunction with data users, department managers, clients, and other key stakeholders Develop short-term tactical solutions to achieve long-term objectives and an overall data management roadmap Collaborate with third-parties, product/platform teams and business subject matter experts to enable company strategic imperatives that require secure and accessible data cloud capabilities or assist in accessing data required to enrich models Collaborate with IT Enterprise Architecture, Business Intelligence, Data Engineering, Data Quality and Data Governance stakeholders to: Adhere to and advocate for processes for governing the identification, collection, and use of corporate metadata Take steps to assure metadata accuracy and validity Tracking data quality, completeness, redundancy, and improvement Contribute to cloud consumption cost forecasting, optimizations, usage requirements, proof of concepts, proof of business value, feasibility studies, and other tasks Actively participate in the creation of strategies and plans for data security, backup, disaster recovery, business continuity, and archiving Comply with data strategies, architecture best practice to ensure regulatory compliance Acquisition & Deployment Participate in technical proposals with vendors, cloud providers, and service providers to select the solutions or services that best meet company goals as required Operational Management Ensure that Data Engineering processes follow best practices for SDLC including proper use of source control, branching strategies, deployment pipelines, and change management Assisting to maintain artifacts that represent the current-state, and future-state, system design as part of the technical roadmap for Data Perform regular peer reviews of code and contribute to the success of all data team members Contribute to and promote data management methodologies and standards Investigate and implement the appropriate tools, software, applications, and systems to support data technology goals Ensure the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality Work with project managers and business unit leaders on project assignments involving enterprise data Assist with data-related problems regarding systems integration, compatibility, and multiple-platform integration Develop key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture Update the data architecture and environment to maintain a current and accurate view of the implemented structure Identify and develop opportunities for data reuse, migration, or retirement Contribute to the maintenance of data engineering code by identifying and advocating for paying down tech-debt Qualifications Education: Bachelor's degree in computer science, information systems, or computer engineering- In lieu of a bachelor's degree, an equivalent combination of education and experience may be considered Experience: Seven (7+) or more years related experience required Five (5+) or more years in a data engineering role preferred Two (2+) or more years' experience as a project or team lead preferred Technical Knowledge & Experience Utilized in this Role Include: Knowledge of data architecture concepts, data mining, large-scale data modeling, cloud data storage, and analytics platforms Experience with Azure, AWS, or Google data capabilities Working experience with one or more cloud data platforms, such as Databricks, Synapse, Foundry, or Snowflake Advanced experience with one or more Cloud Based ELT/ETL services, such as Azure Data Factory or AWS Glue Experience performing data profiling Working knowledge or experience with one or more reporting and/or analytics platforms, such as PowerBI, Tableau, or Looker Direct experience in implementing data solutions in the cloud Experience in deploying infrastructure as code Advanced knowledge of relational data structures, theories, principles, and practices Strong familiarity with metadata management and associated processes Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on Ability to work with data owners in support of a data catalog Experience with database management systems, including Oracle RDBMS and SQL Server Understanding of Web services (SOAP, XML, UDDI, WSDL) Understanding of object-oriented programming principals Excellent client/user interaction skills to determine requirements Project management, Product Management and/or Agile Product Team experience preferred Awareness of applicable data privacy practices and laws