Data scientist jobs in Johnstown, PA

Hybrid Role Job Title: Data Intelligence - Engineer, Data Sr Project Type: Contract Duration of the project: 12 Months We are looking for candidates with 5+ years' experience in Ab Initio Administration. (Internal Notes: Please do not send Developers) Must have 2+ years' experience with AWS. Working with Ab Initio in AWS Cloud. Must have solid experience building, installing and configuring Ab Initio. Must have AWS EKS containerization. Will be involved moving Linux instances to AWS EKS. Ab Initio Lead Infrastructure This position is an Ab Initio Administrator and not a developer position. The Senior Ab Initio ETL Administrator is responsible for the tasks involved in administration of ETL tool (Ab-Initio) as well as migrating Ab Initio infrastructure to the Cloud. The candidate will support the implementation of a Data Integration/Data Warehouse for the Data products on-prem and in AWS Cloud like EKS containerization for Ab Initio. 6 - 8 Years' Experience At least 6 years of Experienced with all the tasks involved in administration of ETL Tool (Ab Initio) Experienced with managing the project of migration or infrastructure build without supervisor At least 6 years of Experienced with Advance knowledge of Ab Initio Graphical Development Environment (GDE), Meta Data Hub, Operational Console Experience with Ab Initio, AWS EKS, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. DevOps (CI/CD Pipeline) prefers Jenkins experience Experience with Advance knowledge of UNIX and SQL Experience with manage metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these components Experience with scripting and automation such as design and develop automated ETL process and architecture and unit testing of the ETL code Experience with working on the break fix and continuous development items, review, and inspection for the production changes Perform the code review for the ETL code developed by the development team and guide to resolve an issue. Service Oriented Architecture (SOA) knowledge and Demonstrated knowledge and best practices of testing environments and processes Demonstrated experience working in an Enterprise environment with crossed team interaction and collaboration and policies Strong testing skills Excellent problem-solving skills Strong analytical skills Excellent verbal and written communications skills Familiar with structured programming techniques Must be able to perform assigned tasks with minimum supervision Strong documentation skills Experience working in an Agile environment is a plus Software: Applies and implements best practices for data auditing, scalability, reliability, and application performance. AWS certification is a plus Extensive UNIX AIX or Linux and Scripting experience Extensive SDLC experience with some development or Systems programming experience Ability to analyze and trouble-shoot Mid-tier/infrastructure issues. Very strong verbal and written communication skills (Critical) Ability to facilitate technical requirements gathering and design sessions Collaborate and interpret business and technical needs Excellent attention to detail and quality work products (Critical) Strong customer service skills with internal and external customers (Critical) Must be able to perform assigned tasks with minimum supervision (Critical) Strong analytical and documentation skills Excellent time management ability. (Critical) Skills Preferred Experience with DEVOPS or IAAS AIX or Linux LDAP EIAM (Identity Access Management) Ab Initio Admin and Architect

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. Career Stability: We hire for careers, not contracts our work is growing People-Focused Culture: We value work-life balance, collaboration, and professional growth. Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). Competitive Pay & Benefits: Typical salary range: $117k-$196K, depending on experience and contract labor category 401(k) with employer contribution Health, dental, and vision coverage Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at: **************************** Position Overview: We are seeking talented and motivated Data Scientists with expertise in machine learning, statistical analysis, and artificial intelligence to join our team. In these roles, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges. These positions will be part of our Defense and Intelligence Business unit serving the Intelligence Community as our primary customer. Essential Functions: As a Data Scientist, you will: Develop and implement machine learning, data mining, statistical, and graph-based algorithms to analyze large and complex datasets. Prototype and evaluate multiple algorithms, selecting the final model based on rigorous performance metrics. Design and execute experiments or create models to generate data when training datasets are unavailable. Generate reports and visualizations that provide actionable insights and summarize data findings for clients. Translate complex data analysis into clear, actionable recommendations. Collaborate with subject matter experts to automate manual data analysis processes and integrate analytics into production frameworks. Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. Apply expert knowledge in data science to deliver solutions that address clients' business needs. Stay current with emerging tools and techniques in machine learning, statistical modeling, and data analytics to continuously improve the quality of your work. This role requires a self-driven individual capable of working under minimal supervision, with a strong ability to translate raw data into concise and actionable insights. You will work closely with clients, managers, and technical staff to understand business needs and deliver effective, data-driven solutions that enhance decision-making and operational effectiveness. Requirements: A current TS/SCI with Polygraph is required for this role. BA/BS in Math, Statistics, Engineering, Computer Science, or related field Proficiency with Python and R. Experience using large data sets to solve problems. Knowledge of and experience with machine learning, data wrangling, advanced statistical data analysis and modeling. AWS or Cloud experience. Ability to communicate complex models and concepts effectively in non-technical language. Desired Qualifications: Bachelors Degree with 4+ years of relevant experience. Masters Degree with 2+ years of relevant experience. PhD. with 1+ years of relevant experience. Familiarity with commercial and open-source data science software. Familiarity with relational databases: Oracle, SQL, and ETL tools. Salary and Benefit Information: The likely salary range for this position is $117,000-$196,000. This is not, however, a guarantee of compensation or salary. Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range. Elder Research values continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off. About Elder Research, Inc Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - for example, each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Data Scientist for Medical Document Analysis (Solventum) 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material, and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue. We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you. The Impact You'll Make in this Role: As a Data Scientist specializing in medical document analysis, you will work at the forefront of healthcare NLP. You will design, implement, and evaluate advanced natural language understanding (NLU) systems that interpret complex clinical text and support data-driven medical decision making. This includes developing models grounded in transformers, generative AI, and research-oriented neural architectures. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to bring research prototypes into production systems. You will explore new modeling approaches, optimize training pipelines, and contribute to the long-term direction of Solventum's deep learning portfolio. You Will Make an Impact By: Scoping and designing NLP/NLU applications that support clinical understanding of medical documents and downstream healthcare workflows. Translating business and clinical requirements into mathematical and experimental criteria, ensuring models are measurable, reliable, and auditable. Processing, aligning, and enriching diverse structured and unstructured medical datasets for deep learning, LLMs, and agentic AI systems. Developing and evaluating deep learning models, including transformer-based architectures and neural architectures such as CNNs and attention mechanisms for capturing linguistic patterns in clinical text. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, and robustness concerns. Designing experiments and error analyses that explain model behavior and enable clear communication with both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP/LLMs, evaluating new methods and identifying opportunities to advance Solventum's deep learning initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor's degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis US citizenship or permanent resident required Additional qualifications that will help you succeed in the role: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, or hybrid neural architectures. Ability to self-organize across multiple technical and business contexts, communicating complex findings with clarity and confidence. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Familiarity with AWS, GitHub, CI/CD, and scalable ML deployment practices. Hands-on experience with LLMs, prompting, fine-tuning, or agentic AI frameworks. Experience with ETL of large-scale text using tools such as PySpark, Spark NLP, or distributed data frameworks. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Travel: Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Clearance Required: TS/SCI with Polygraph Employment Type: Full-Time Salary Range: $195,000 - $231,000 (USD) Note: This does not include discretionary bonuses or benefits. Actual salary will vary based on location, experience, education, and skill level. A mission-critical opportunity is available for a Data Scientist to design, develop, and implement advanced analytics to solve complex data challenges in a secure environment. This position focuses on translating subject matter expertise into scalable machine learning, statistical, and graph-based models, and transitioning prototypes into production-ready solutions in support of national security objectives. You will lead data exploration, feature engineering, model development, and integration efforts - helping to automate analysis workflows, generate insights, and inform strategic decision-making. Key Responsibilities: Develop machine learning, statistical, and graph-based models to analyze complex datasets Translate qualitative analytic requirements into quantitative models and software prototypes Produce data visualizations and dashboards to highlight key insights and trends Work with subject matter experts (SMEs) to extract meaningful features from structured and unstructured data (e.g., logs, metadata, databases) Prototype and evaluate multiple algorithmic approaches, selecting the best based on empirical performance Tune model hyperparameters and input features to optimize performance Validate models using standard evaluation techniques (e.g., cross-validation, ROC curves, confusion matrices) Develop experiments or simulated data when real-world data is unavailable Guide and oversee analytic teams throughout the development lifecycle Transition analytic prototypes to scalable, production-ready software Collaborate with software engineers and cloud developers to integrate analytics into broader systems Stay informed on emerging machine learning and AI techniques, and guide their practical application Lead development of automated systems to support mission-driven objectives Required Qualifications: Clearance: Active TS/SCI with Polygraph Education: Bachelor's degree or higher in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Engineering, Operations Research) OR 4 additional years of relevant experience in lieu of degree Experience: 10+ years in at least two of the following areas: Machine learning Data mining Advanced analytics or statistical analysis Artificial intelligence Software engineering for data analysis Experience with tools such as Python, R, SAS, or MATLAB Experience leading analytic teams and managing end-to-end model development Education Substitution Options: A Master's degree in a quantitative field may substitute for 2 years of experience A Doctoral degree in a quantitative field may substitute for 4 years of experience Preferred Qualifications: Hands-on experience transitioning models from prototype to production Familiarity with cloud platforms, distributed data systems, and production analytics frameworks Understanding of advanced performance metrics, interpretability techniques, and model governance Experience designing and managing data pipelines and ETL processes Strong written and verbal communication skills to engage technical and non-technical stakeholders Qualified candidates with the required clearance and relevant data science expertise are encouraged to apply. Please submit a resume detailing your technical experience, education, and security clearance status. We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law. https://www.staffed4u.com/

Erias Ventures was founded to serve its customers with an entrepreneurial mindset. We value creative problem-solving, open communication, and empowering our employees to make decisions and put forth new ideas. Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a technically strong and growth-oriented company focused on bringing innovative solutions to the difficult mission problems facing our customers. Description We are seeking a Data Scientist that will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. Clearance A current Top-Secret/SCI with polygraph security clearance (within 7 years) is required. Candidates cannot be sponsored or nominated for a government security clearance under this position. Experience Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience. Required skills: Five (5) years of experience analyzing datasets and developing analytics Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $206,000 - $223,000. Wealth Benefits: Above Market Hourly Pay 11% Roth or Traditional 401k with Immediate Vesting and Deposit Spot Bonuses for Assisting with Business Development and Company Growth Professional Development Bonuses for Certificates and Degrees Health Benefits: Company subsidized Medical Coverage 100% Company Paid Vision and Dental Coverage 100% Company Paid Long Term Disability, Short Term Disability, and Group Life Insurance Monthly Wellness Reimbursement Happiness Benefits: Paid Time Off with Flexible Work Schedules and Birthday Off Amazon Prime Membership and Monthly Internet Reimbursement Technology and Productivity Allowance for Equipment and Supplies Morale Building and Company Events to Celebrate our Successes and Build our Community Onboarding and Annual Swag Company Paid Professional Development and Training At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to $10,000 for each successful hire. Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available! Please send referrals and inquiries to: ********************** To learn more about our company visit our webpage or LinkedIn.

DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email.

Job Description Responsibilities: Synectic Solutions is currently recruiting for a Data Scientist, Journeyman to support the Systems Engineering Department (SED) at Patuxent River Naval Air Station in Lexington Park, MD. The program is providing systems engineering support of weapons systems on various platforms including technical research and development of technologies, analysis, and documentation as part of the acquisition of Aircraft, Weapon, and Integrated Systems and the evaluation of their technical performance, mission suitability and associated acquisition risks throughout the full acquisition process and lifecycle of a program. Responsibilities: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. Requirements Must have a bachelor's degree in a technical or scientific field from an accredited college or university. Must have a minimum of three (3) or more years of relevant work experience. Must have an active DoD Secret Clearance or higher. Must be a US Citizen What Your Experience Working for Us Will Be Like Ask any of our employees and they will tell you SSI is a great place to work with an upbeat and positive culture. We take pride in our work to continuously improve on our performance in a manner that enhances the mission of the agencies we serve while expanding opportunities for our employees and our company. About Synectic Solutions, Inc. (SSI) Synectic Solutions, Inc. (SSI), is an award-winning, 20-year government contracting agency focused on the areas of logistics, engineering, management, and information technology. SSI is a growing organization committed to exceeding customer expectations, to continually improving all products, services, and processes, and to perform all work with the commitment to upholding the highest standards and ethics. Ready to apply? If this job sounds like a fit for you, then click on the ‘apply' button below. Good luck! Powered by JazzHR HZu2Z1tG6N

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development. Employment Category: Full Time / Exempt Location: Aberdeen Proving Ground (APG), MD, Travel: Minimal Security Clearance: DoD Secret Eligible, Active clearance preferred. Citizenship: Must be a U.S. Citizen Responsibilities: Develop and apply state-of-the-art machine learning (ML) tools and algorithms to optimize DoD chemical and biological detection and identification systems. Work as part of a government scientific research and development team developing and updating military sensors and detectors. Lead development of some efforts. · Develop software applications in Python and apply machine learning techniques to improve the detection and identification of chemical and biological materials. Develop, test, train, and maintain applications for developmental sensors and instrumentation. Develop and use tools to import, process, and store instrument and sensor datafiles for use in ML applications. Lead small development efforts and mentor junior developers. Support field testing of systems, train users, and assess system performance. Remain current on related subjects in the literature and news. Assist with the preparation of reports, journal articles, and presentations. Compensation & Benefits: Pay: From $85K - $105K per year based on experience and qualifications Schedule: 40 hours per week 401K with up to 4% employer matching contribution 3 weeks (120 hrs/year) Paid Time Off (PTO), Federal holidays, and Sick Leave Comprehensive Medical, Dental, Vision Insurance, Short Term/Long Term Disability Requirements Education: Bachelor's degree in computer science, chemistry, or a related discipline Job Requirements U.S. Citizen eligible for a security clearance 5 to 9 years advanced proficiency with Python coding 4 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with both TensorFlow and PyTorch Proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in computer science or related discipline A chemistry or biology degree or minor Experience with bioinformatics and genetic algorithm development Assist with the preparation of reports, journal articles, and presentations. Education: Bachelor's degree in computer science, chemistry, or a related discipline Job Requirements U.S. Citizen eligible for a security clearance 5 to 9 years advanced proficiency with Python coding 4 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with both TensorFlow and PyTorch Proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with MySQL databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in computer science or related discipline A chemistry or biology degree or minor Experience with bioinformatics and genetic algorithm development

The Data Scientist will provide meaningful insight on how to improve our current business operations. Principle Accountabilities/Responsibilities * Work closely with domain experts and SME's to understand the business problem or opportunity and assess the potential of machine learning to enable accelerated performance improvements * Design, build, tune, and deploy divisional AI/ML tools that meet the agreed upon functional and non-functional requirements within the framework established by the Enterprise IT and IS departments. * Perform large scale experimentation to identify hidden relationships between different data sets and engineer new features * Communicate model performance & results & tradeoffs to stake holders * Determine requirements that will be used to train and evolve deep learning models and algorithms * Visualize information and develop engaging dashboards on the results of data analysis. * Build reports and advanced dashboards to tell stories with the data. * Lead, develop and deliver divisional strategies to demonstrate the: what, why and how of delivering AI/ML business outcomes * Build and deploy divisional AI strategy and roadmaps that enable long-term success for the organization that aligned with the Enterprise AI strategy. * Proactively mine data to identify trends and patterns and generate insights for business units and management. * Mentor other stakeholders to grow in their expertise, particularly in AI / ML, and taking an active leadership role in divisional executive forums * Work collaboratively with the business to maximize the probability of success of AI projects and initiatives. * Identify technical areas for improvement and present detailed business cases for improvements or new areas of opportunities. Qualifications/Education/Experience Requirements * PhD or master's degree in Statistics, Mathematics, Computer Science or other relevant discipline. * 5+ years of experience using large scale data to solve problems and answer questions. * Prior experience in the Manufacturing Industry. Skills/Competencies Requirements * Experience in building and deploying predictive models and scalable data pipelines * Demonstrable experience with common data science toolkits, such as Python, PySpark, R, Weka, NumPy, Pandas, scikit-learn, SpaCy/Gensim/NLTK etc. * Knowledge of data warehousing concepts like ETL, dimensional modeling, and sematic/reporting layer design. * Knowledge of emerging technologies such as columnar and NoSQL databases, predictive analytics, and unstructured data. * Fluency in data science, analytics tools, and a selection of machine learning methods - Clustering, Regression, Decision Trees, Time Series Analysis, Natural Language Processing. * Strong problem solving and decision-making skills * Ability to explain deep technical information to non-technical parties * Demonstrated growth mindset, enthusiastic about learning new technologies quickly and applying the gained knowledge to address business problems. * Strong understanding of data governance/management concepts and practices. * Strong background in systems development, including an understanding of project management methodologies and the development lifecycle. * Proven history managing stakeholder relationships. * Business case development. First Quality is committed to protecting information under the care of First Quality Enterprises commensurate with leading industry standards and applicable regulations. As such, First Quality provides at least annual training regarding data privacy and security to employees who, as a result of their role specifications, may come in to contact with sensitive data. First Quality is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identification, or protected Veteran status.

The University of Maryland Institute for Health Computing (UM-IHC) is a strategic collaborative between the University of Maryland, Baltimore (UMB) and the University of Maryland, College Park (UMCP), and the University of Maryland Medical System. Based in North Bethesda, MD, the institute focuses on artificial intelligence and advanced computing to further develop the field of precision medicine to improve well-being, quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond. Learn how we're delivering a better state of care. We build upon our tradition of excellence in patient care and innovation, to be a national leader in the transformation of health care. Proud to be recognized by Forbes to the America's Best Large Employers for 2022, UMMS' flagship academic campus, the University of Maryland Medical Center in Baltimore, is recognized regionally and nationally for excellence in specialized care. University of Maryland Medical System (UMMS) delivers comprehensive health care services throughout Maryland. UMMS physicians and patient care teams work hand-in-hand with University of Maryland School of Medicine specialists to provide primary and specialty care at more than 150 locations across the state, including a network of academic, community and specialty hospitals that together provide 25% of all hospital-based care in Maryland. Functioning as One UMMS will allow us to create greater opportunities for our team members, provide more comprehensive care for our patients, and support more communities across Maryland. It will reaffirm our values and allow us to leverage the benefits of being part of a stronger, statewide system. In the end, we are not creating a new system; we are strengthening the one we have built. Together, we will honor our past and simultaneously look to our future, not just as a health care system, but as vital members of our communities. Learn more about One UMMS at ******************** Job Description This position has a hybrid work structure, where working from the office at regular intervals will facilitate building collaborations among the interdisciplinary teams at the IHC. General Summary The Senior Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have experience with Machine Learning/AI, Statistics and Operations Research and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the Director for Advanced Data Science & Consulting Services. Principal Responsibilities and Tasks Support and drive analytic efforts designed around the organization's strategic priorities and clinical/business problems. Develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings . Perform statistical analysis to evaluate primary and secondary objectives from such pilots. Develop strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. Build and extend our analytics portfolio supported by robust documentation. Lead cross-functional design teams to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. Manage projects and initiatives for the medical system that include multi-disciplinary teams from technology, clinical and business groups. Mentor staff on effective problem-solving strategies and technical aspects of Machine Learning/AI, Statistics and Operations Research. Manage project plans and other required project documentation and provide updates to leadership as necessary. Develop and maintain relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication. Assist senior leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. Assist senior leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. Work with autonomy to find solutions to complex problems using open source tools and in-house development. Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. Qualifications Education and Experience PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics, or a closely related field required; comparable work experience may be substituted for the PhD degree. 7+ years of industry experience in the following: Machine Learning/AI, Statistics or Operations Research. Programming with SQL, Python and R. Practical experience with machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resources, quality and supply chain). Developing and deploying healthcare-relevant predictive and prescriptive models. Combining analytic methods and advanced data visualizations. Text mining and Natural Language Processing (NLP) is preferred. Leading and managing projects and multi-disciplinary teams. Knowledge, Skills and Abilities Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems. Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). Design and prototype new application functionality for our products. Work with “real world” data including scrubbing, transformation, and imputation. Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels. Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems (e.g., Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries). Effective at working independently and in collaboration with other staff members for software platform and web application development. Cooperatively and effectively work with people from various organization levels. Manage projects and cross-functional teams to meet organizational goals. Plan work, set clear direction, and coordinate own tasks as well as project team's tasks in a fast-paced multidisciplinary environment, including triaging issues, identifying data anomalies, and debugging software. Able to compare, contrast, and validate work with keen attention to detail. Actively generate process improvements; support and drive change, and confront difficult circumstances in creative ways. Additional Information All your information will be kept confidential according to EEO guidelines. Compensation: Pay Range: $70.34- $112.31 Other Compensation (if applicable): Review the 2024-2025 UMMS Benefits Guide

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Dorman was founded on the belief that people should have greater freedom to fix motor vehicles. For over 100 years, we have been driving new solutions, releasing tens of thousands of aftermarket replacement products engineered to save time and money, and increase convenience and reliability. Founded and headquartered in the United States, we are a pioneering global organization offering an always-evolving catalog of automotive, heavy-duty, and specialty vehicle products. Today, we have more than 3,500 employees across 29 different locations, with a family of brands that also includes SuperATV and Dayton Parts. Publicly traded under the stock ticker DORM, reaching a revenue of $2 billion in 2024. Everyone who works at Dorman is called a Contributor. We need everyone, regardless of role and experience, to contribute to our success. That means everyone has a unique ability to make an impact on the business. We encourage all our Contributors to bring their authentic selves to work. The freedom to pursue new ideas, offer different perspectives, and grow in your career is fundamental to working at Dorman. Job Summary The Master Data Office (MDO) Intern will support cross-functional processes and data compliance. This role involves assisting with defining, coordinating, and overseeing master data process improvements within the business. This is an onsite role that will start late May 2026 and continue through the summer for 10-12 weeks. Dorman Products is located in Colmar PA. Primary Duties * Develop knowledge of product data systems and processes. * Identify and/or implement process improvements. * Create and maintain process documentation * Communicate effectively with stakeholders. * Support product information management systems. * Design and create data reports. * Ensure data integrity and quality through regular audits. * Other duties as assigned Qualifications * Basic understanding of data analysis and business data analysis. * Familiarity with managing large volumes of data and ensuring data quality. * Knowledge of master data management strategies and best practices is a plus. * Basic knowledge of reporting packages (e.g., Business Objects) and databases (e.g., SQL). * Strong communication skills and ability to work in a team environment. Education / Experience * Must be currently enrolled in a college/university bachelor's program in Business Management, IT, or a related field; Prefer a 3rd year student Dorman Products is an equal opportunity employer; we value a combination of ideas, perspectives, and cultures at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sex, gender identity, sexual orientation, age, marital status, veteran status, or disability status. EEO/AA Employer M/F/D/V. ********************** Nearest Major Market: Philadelphia Job Segment: Summer Internship, SQL, Database, Intern, Entry Level, Technology, Automotive

FuturePlan is the nation's largest third-party administrator (TPA) of retirement plans, partnering with advisors in all 50 states. FuturePlan delivers the best of both worlds: high-touch personalized service from local TPAs backed by the strength and security of a large national firm, Ascensus. Our roots go back decades, with nearly 30 outstanding legacy firms now joined together to deliver unmatched levels of service, innovation and expertise to a fast-growing client base from coast to coast. The FuturePlan team includes more than 500 credentialed plan professionals, 60 actuaries, and one of the industry's largest in-house ERISA teams. Learn more at FuturePlan.com. Job Description Section 1: Position Summary High level review to ensure quality of client deliverables including research of pension law and regulations. Responsible for ensuring service standards remain in alignment with the expectations, guidance and direction provided by the FuturePlan Lead Actuary and organizational standards. Serve as an expert in the valuation, administration and compliance of Defined Benefit, Cash Balance plans and DB/DC Combo plans. Section 2: Job Functions, Essential Duties and Responsibilities Review, prepare and/or certify client projects and ensure accurate client deliverables including: - Actuarial valuations and reports - Benefit statements - Plan documents, amendments, employee communications (SPDs, etc.) - Work performed by other teams as necessary (e.g., Benefit calculations, Form 5500s and PBGC premium forms) - IRS determination filings and PBGC (Form 500 series) termination submissions - ASC 715/960 - Perform and review combined plan non-discrimination testing Answer technical questions posed by staff Research the Internal Revenue Code and other technical resources to resolve client issues Provide technical training for staff Provide back up to other teams as necessary Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always should be visible in your actions on a day to day basis showing your support of our organizational culture. Assist with other tasks and projects as assigned Supervision N/A Section 3: Experience, Skills, Knowledge Requirements Bachelor's degree in actuarial science, math or math related field Enrolled Actuary designation with 5 years industry experience Advanced understanding of: - Pension law - Plan documents and IRS favorable determination letters - Actuarial valuations and software systems Excellent technical/analytical skills Ability to research technical issues Ability to explain technical issues to all levels of associates Good verbal and written communication skills Demonstrated expertise with Microsoft Office, particularly Excel applications Demonstrated expertise with industry recognized pension valuation software Detail and accuracy oriented Good time management skills Team Player Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate ****************** ****************** email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position SummaryWe're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. Key Responsibilities:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads. Required Qualifications5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines. Strong proficiency in SQL and experience in developing complex queries. Familiarity with py Spark, DBT, or other similar frameworks. Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). Understanding of data warehousing concepts, dimensional modeling, and building data marts. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred QualificationsKnowledge of data governance best practices in a cloud environment. Experience with machine learning flows on GCP. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Tuva or OMOP Models a plus). Education and ExperienceCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$83,430. 00 - $222,480. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 12/29/2025Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

JOB TITLE: Data Engineer/DBA DEPARTMENT: IT REPORTING RELATIONSHIP: CIO FLSA STATUS: Salary (Exempt) Century is one of the nation's largest debt settlement companies, helping consumers resolve their unsecured debts. This is an exciting opportunity to join a high growth, evolving, proven, and successful organization. The company's culture has been built on caring for its clients and employees for over 20 years. We value each of our team members and recognize that their wide array of perspectives and life experiences fuel our organization's strength. Our ongoing commitment to every member of our team has earned us several ‘Best/Top Workplace' and ‘growth' awards, and those recognitions inspire us to continually exceed expectations. JOB SUMMARY: We're seeking a critical role in Data Engineering to own the design/redesign and operation of our modern data pipelines. You will build and maintain scalable ingestion frameworks, (ETL) implement robust data quality/validation controls, and collaborate and partner closely with the analyst and application teams to deliver well-modeled, trustworthy datasets. Your work will directly support mission‑critical reporting, analytics, and product features. A successful candidate will be able to create a world class data environment enabling high-performance and deliverables. DUTIES AND RESPONSIBILITIES Data Engineering Design, build, and maintain ETL/ELT pipelines using tools such as Airbyte, SQL Server Integration Services (SSIS), or cloud-native orchestration. Develop and maintain scalable data ingestion frameworks for structured and unstructured data. Implement robust data quality, validation, and monitoring checks across all pipelines. Collaborate with analysts, data scientists, and business stakeholders to support data modeling and schema design that aligns with analytics and application needs. Support the development of data warehouse architectures (star schemas, snowflake schemas, SCDs, CDC, etc.). Database Development Develop efficient, maintainable SQL (DDL/DML), stored procedures, functions, triggers, and views across multiple environments (dev, QA, prod). Optimize complex queries for performance, scalability, and cost efficiency. Implement indexing strategies, partitioning, and query-plan reviews to improve system performance. Support application developers with database-driven features, including schema design, query optimization, and integrations. Participate in code reviews, ensuring database changes follow best practices and governance standards. Database Administration (DBA) Manage and administer SQL Server, Snowflake, or other RDBMS environments. Perform installation, configuration, upgrades, patches, and performance tuning. Ensure database security, encryption, role-based access, and compliance with internal and regulatory standards. Monitor database health and performance using tools such as SQL Server Profiler, Query Store, CloudWatch, New Relic, etc. Implement and maintain backup and recovery strategies, high availability (HA), and disaster recovery (DR) solutions. Troubleshoot incidents and provide on-call support for production issues. Data Governance & Architecture Establish and enforce data standards, naming conventions, documentation, version control, and deployment processes. Support metadata management, data lineage, and data cataloging initiatives. Contribute to capacity planning, storage management, and system scalability strategies. KNOWLEDGE AND ESSENTIAL SKILLS Excellent problem-solving abilities with strong attention to detail. Ability to work cross-functionally with Engineering, Business Intelligence, Analytics, and Product teams. Strong communication skills with the ability to translate technical concepts for non-technical stakeholders. Self-driven, proactive, and capable of managing multiple priorities in fast-paced environments. Experience supporting both operational databases and analytics data warehouses. Understanding of data governance frameworks and compliance (SOC2, HIPAA, GDPR). EDUCATION AND/OR WORK EXPERIENCE Certifications in SQL and ETL tools are preferred. 3-5+ years of experience in data engineering, database development, and/or database administration. Strong proficiency with SQL (T-SQL, PL/pg SQL, or similar) and relational database design. Experience administering and optimizing SQL Server, Snowflake, Azure, or similar platforms. Hands-on experience with ETL/ELT development, data modeling, and pipeline orchestration tools. Experience with version control (Git), CI/CD, and code-based database deployments. Familiarity with cloud environments (AWS, Azure, or GCP). Strong understanding of performance tuning, indexing, query plans, and workload optimization. We love our employees! Competitive compensation package Career development & growth opportunities through performance and career pathing 100% Premiums paid on Basic Life insurance, AD&D, Short-Term Disability, and Long-Term Disability Affordable Medical, Dental, and Vision coverage that begins on the first day of employment with generous contribution Optional Supplemental Insurance for Life Insurance, Critical Illness, and Accident Employee Recognition Programs - Standing Ovation, Voice of Support, and Time in Service Bonus 401K plan with 100% matching up to 4% and immediately vested No cost Employee Assistance Program and Travel Assistance Generous PTO package that starts on day 1 and increases after 1st year Commitment to employee communication through employee suggestions and engagement surveys Experienced leadership team with decades of industry experience Great team members who want you to succeed!

Job DescriptionOverview DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email. Powered by JazzHR cybfv HfnJq