Data Scientist Jobs in Baltimore, MD

Hamilton Porter is proud to support the hiring needs, of one of the leaders in small business refinancing. Our long time client, is looking for a Data Scientist. Will develop models to support programs for the organization. Will classify or categorize data to make predictions related to the models. What You Will Do: Model Development: Design, develop, and deploy machine learning models and algorithms to solve business problems or improve processes for Legal/Collections and Sales Build models to classify account transaction data to benefit underwriting process and merchant insights Build models including but not limited to credit risk, fraud, and offer acceptance propensity Perform through testing and validation of models and support various aspects of the business with data analytics, i.e., experience with data and model governance Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes, i.e., be up to date on data science research (papers and libraries); be able to build and evaluate models yourself Advanced Data Analysis: Conduct sophisticated analysis on top of models to derive meaningful insights and actionable strategy recommendations. Identify new data sources and patterns that add lift to predictive modeling capabilities; come in with existing knowledge about relevant datasets and services to leverage Conduct analysis and turn insights into actionable changes for predictive models or policies; have experience identifying and prioritizing the business impact Statistical Analysis: Apply statistical techniques to interpret data, validate models, and ensure robustness of analytical solutions. Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences Recommend ongoing improvements to methods and algorithms currently in production Collaboration: Work closely with cross-functional teams such as engineering, product management, and business stakeholders to understand requirements and deliver solutions. What We're Looking For: MS in Statistics, Economics, Finance, or other related quantitative field Strong understanding of Computer Science fundamentals 3-5 years of relevant experience in applying data science techniques to real-world problems Strong proficiency Python and SQL for data manipulation, analysis, and modeling Econometric modeling, traditional modeling techniques (regression, tree-based models), deep learning, Natural Language Processing (NLP) Agile, Scrum experience Strong SQL Big data; experience with Databricks or Snowflake, Linux, AWS Strong understanding of Software Development Lifecycle (SDLC) Experience with exploratory data analysis and visualization Solid understanding of statistical methods and their application in data analysis and modeling Experience with machine learning techniques and libraries/frameworks (e.g., scikit-learn) Ability to work with large, complex datasets using tools like Pandas, Spark, or similar Strong analytical and problem-solving skills to translate business requirements into technical solutions Able to share a portfolio (e.g., website, github, paper references, etc.) of papers, visualizations, or software Excellent communication skills to articulate findings and insights to both technical and non-technical stakeholders. Compensation: Competitive base salary ($110K - $124K - DOE) + potential for 10% performance bonus Outstanding company covered Health Coverage - tons of options across Health, Dental, Vision options + Flexible PTO 401K through Fidelity with 25% match Tons of other company wide perks... Apply today we are quick to interview.

Immediate need for a talented Senior Data Scientist with Data Engineering Experience. This is a 06+months contract opportunity with long-term potential and is located in McLean, VA (Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-62165 Pay Range: $65 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: We build various data governance solutions which run as cohesive unit within the overall data platform strategy. We bring pioneering technology to bear on business challenges to delight and excite our customers. We collaborate with other IT teams to advance our technical capabilities. We live to automate and optimize processes and technologies. As a Senior Data Engineer, you are expected to work under limited direction and independently determine and develop approaches to solution. Understand requirements and design for the build and deployment. Scrum/agile based development and maintain efficient data pipelines and ETL process for large-scale data integration. Collaborate with data analysts and other engineer to define data needs and build solution that drive business insights. Develop, test, and deploy code for data extraction, transformation and loading processes (ETL/ELT). Develop and maintain automated test scripts using Pytest to ensure high-quality software releases. You will be a mentor and bring up-to-speed junior resources and consultants on technologies/products that the team works on and Represent and Demonstrate your team's work to customers. Will demonstrate your coaching and mentoring skills to help teams continuously grow and improve in delivering high quality software solutions. Support line of business areas with more advanced statistical and quantitative analysis. Ability to run models, look for exceptions and take corrective actions where necessary. Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models. Release Support: Work closely with internal/external teams to help with the release process, ensuring smooth and error-free releases to production. Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations. Key Requirements and Technology Experience: Key skills; Python, Apache spark, SQL, Data processing Bachelor's degree in computer science or related discipline; advanced Studies/ Degree preferred. 5-7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java). Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Client cloud-base warehousing). Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs Experience with cloud platform AWS (EMR, EKS, Lambda). Experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include-but are not limited to-Python, R Solid understanding of SDLC practices including development, testing, and release management. Experience with version control systems such as Git, BitBucket Experience with RESTful API design and development. Familiarity with PySpark for large-scale data processing and analysis. Ability to use data to help inform strategy and direction. Ability to translate complex statistical models and methodologies into simple business terms. Help with pytests, testing frameworks, SDLC expertise. Help with data modeling, data engineering efforts, proper python expertise Interact with customers and stay on top of issues, understand our platform, and debug issues. Help with talend, control-m, APIs. Hands-on help with our team release, customer release etc. Pyspark, spark, sql knowledge. Strong leadership, planning Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Innovation is at the heart of everything we do on the Audit Analytics and Innovation team. We're not a traditional Data Science team: we build creative ML solutions across multiple domains, such as LLM based chatbots, GenAI powered applications, AML/Fraud identification, and Customer call transcripts intelligence. Opportunities to learn and build fast allow our team members to develop towards their full potential. We partner closely with product, tech, and design teams to enable faster build-to-market cycles for product features that delight our customers with dynamic and integrated experiences. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) Preferred Qualifications: Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 3 years of experience in Python, Scala, or R At least 3 years of experience with machine learning At least 3 years of experience with SQL At least 3 years of experience working with Natural Language Processing models (e.g., Transformers) At least 1 year of experience working with AWS Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Princ Associate, Data Science Richmond, VA: $144,200 - $164,600 for Princ Associate, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. #J-18808-Ljbffr

Gridiron IT is seeking a Data Engineer with a passion for learning and problem-solving to join our team. Travel - up to 10% The ideal candidate will be responsible for designing and implementing data migration processes, integrating data from various sources, and ensuring the secure and efficient handling of both structured and unstructured data. Proficiency with Talend, Qlik Replicate, and cloud platforms such as Azure or AWS is highly desirable. The successful candidate will play a key role in optimizing and securing our data migration and integration workflows. You Will: Collaborate with data architects and project managers to develop comprehensive data migration strategies for structured (e.g., relational databases) and unstructured data (e.g., documents, media). Use Qlik Replicate for real-time replication, Change Data Capture (CDC), and data migration from source databases to target environments. Design, implement, and optimize Talend ETL/ELT pipelines for batch processing and transformation of structured and unstructured data. Ensure data integration across diverse sources (on-premises, cloud, ADLS, databases) into platforms like Azure, AWS, and Dataverse. Automate tasks such as data validation, transformation, and reconciliation to ensure efficiency and consistency. Perform data profiling, cleansing, and transformation to support accurate mapping and merging of data formats. Conduct thorough testing (unit, integration, performance) and ensure the accuracy and completeness of migrated data. Troubleshoot data migration issues, optimize performance, and provide post-migration support. Create and maintain documentation for ETL workflows, data migration scripts, and configuration settings. Collaborate closely with stakeholders to provide status updates and resolve data-related challenges. Stay up-to-date with the latest data engineering tools, technologies, and best practices. You Have: U. S. Citizenship A minimum of a Department of Defense (DoD) Secret level Security Clearance Bachelor's degree in Computer Science, Information Technology, or a related field. Sec+ or any IAT level 2 and higher certification required 3+ years of experience in data engineering, specifically with data migration and integration projects. Hands-on experience with Talend for ETL/ELT processes and Qlik Replicate for data replication and CDC. Proficiency in working with both structured (relational databases, data warehouses) and unstructured data (files, NoSQL, media). Experience with cloud platforms such as Azure or AWS for data migration and storage. Strong understanding of data modeling, data architecture, and data governance principles. Familiarity with SQL and NoSQL databases, as well as experience with large-scale data integration projects. Strong analytical, problem-solving, and debugging skills. Excellent verbal and written communication skills for collaboration across teams. Ability to work independently and manage multiple priorities in a fast-paced environment. Main focus: Experience with Azure Data Factory Azure Software Factory and ETL Azure Dataverse and Dynamics 365 Data Engineering with Structure and Unstructured Data Medallion Architecture Government Data Engineering Clearance Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation and Benefits Salary Range: $135,000 To 165,000 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron's benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.

The ideal candidate for this role will bring a proven track record of delivering value through the leverage of routinely collected data from healthcare settings to provide health analytics and insights in a range of contexts including Public Health, Pharmaceutical Research and Development and Commercial/ Payer. They will collaborate with colleagues in Epidemiology, Statistics and Payer, giving scientific and technical guidance on study design, RW data selection and best practice in RW data utilization. In addition, they will assist in advancing and shaping company's Real World Science data strategy through the due diligence on new data providers/vendors, informatics support for data acquisitions in a range of Therapeutic Areas. The role will promote best practice in Real World Data Science across multiple domains, and/or stakeholder groups. Typical Accountabilities: Collaborate with Payer and Epidemiology teams to maximize the value derived from large observational research data Deliver analyses of data from EMR, claims and primary observational data required by TA RWE strategies Support the development of IVS strategies and selection of optimized contact models for prioritized markets through analysis of RWD Provide scientific guidance on the application of Real World Evidence and observational research data to address issues across the Oncology and Biopharmaceuticals business units Provide technical input, options and directions to strategic decisions made by COMPANY observational study teams on study design, data partner selection and best practices in RWE data utilization Support technical teams to provide access to analytical tools and develop visual analytics to enable self-serving applications for end customers Provide clear technical input, options, and direction to strategic decisions on RWE platform and capability build Provide support for strategic decisions on company Medical Evidence and Observational Research external collaborations in the US and other markets Assist in building a capability that becomes a source of sustained competitive advantage for company in identifying, acquiring, integrating and mining diverse RW data from multiple geographic and healthcare system sources to support evidence generation and real-world studies Evaluate and assess strengths and weaknesses of external RW data sources, and potential partners for advancing the data strategy for specific therapeutic areas Maintain a strong insight into the capabilities of potential external partners in RWE, especially for US and emerging markets. Education, Qualifications, Skills and Experience: Essential: PhD or MS in data science or other advanced degree in life sciences with post-doctoral or other training/work in Medical/Health Informatics or related field. 5 years of experience Experience in Real-World Evidence and familiarity with Health economics / Epidemiology, and quantitative science such as health outcome modelling Expertise in EMR/Health IT, disease registries, and insurance claims databases Experience in Statistical Analysis Plan (SAP) generation and execution for observational studies Expertise in methods development and application using statistical languages such as R/Matlab/SAS/SQL/Hadoop/Python. R is strongly preffered, and SAS a plus. Experience in advanced visualisation and visual analytics of routinely collected healthcare data Desirable: Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode) Experience in supporting pharmacoepidemiology studies with proven track record of advancing approaches with data science Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data A history of patient care or equivalent background of working at a patient care setting that allows the candidate to bring medical perspective into real-world evidence generation and observational studies Demonstrated ability to build long-term relationships with stakeholders at senior levels, understand relevant scientific/business challenges at a deep level and translate into a programme of informatics activities to deliver defined value Ability to lead & manage multi-disciplinary data science projects Strong track record of delivering large, cross functional projects Experience working in a global organization and delivering global solutions Use of Machine Learning and Artificial Intelligence in the generation of hypotheses within Real World Data

Data Engineer - Infrastructure Automation Team We are seeking a Data Engineer to join our Infrastructure Automation team. Our success relies on a world-class network and hardware infrastructure, managing massive scale and integrating emergent technologies rapidly. Our goal is to become “The Infrastructure Platform” for the world. The Infrastructure Automation team delivers the software that powers this infrastructure. Responsibilities: • Work in one of the largest and most complex data warehouse environments. • Develop and support analytic technologies that provide customers with timely, flexible, and structured data access. • Design and implement a platform using third-party and in-house reporting tools, model metadata, and build reports/dashboards in Oracle BI Enterprise Edition (OBIEE). • Collaborate with business customers to understand requirements and develop solutions for analytical and reporting needs. Required Skills & Experience: • 7+ years of related experience. • Strong development experience with BI reporting tools, particularly OBIEE. • Proven ability to develop complex and diverse reports. • Strong analytical skills and comfort with large, complex data sets. • Solid knowledge of SQL. • Ability to collaborate with business owners to identify patterns and anomalies. Preferred: • Advanced OBIEE reporting experience. • Strong SQL expertise.

**Only candidates located in the DMV (DC, Maryland and Virginia) are considered. We seek a Business/ Technical Analyst to work on a large strategic technology project in a large financial service company. The candidate will work to understand the impacts of the strategic initiatives and create artifacts to support the initiatives. This role will entail business analysis, data relationship modeling, technical writing, and project management activities as well as the ability to handle in-depth and navigate the big-picture of the program. The candidate will work with the internal technology teams to understand their business events and data structures. Role & Responsibilities Inventory and create project specific technical documentation for various large data software, hardware and process solutions Create project artifacts and recommendations for Architecture Leads to determine modernization and migration strategies for databases, platforms, APIs etc. Collect and write detailed data transformation process requirements Create and maintain technical, process and data-related documentation Qualifications Bachelor's Degree or higher in software engineering, data analytics, and Finance preferred, with 7-10 years of relevant work experience. Experience and good understanding of data modeling Outstanding quantitative, analytical, and problem-solving skills Outstanding attention to detail and accuracy Excellent presentation, communication and writing skills specifically software and technical documentation Ability to translate complex business requirements into technical specifications Experience working with different databases and understanding of data Strong data and financial analytical skills; Ability to quickly understand complex financial concepts; Finance and Mortgage industry experience preferred Key to success in this role Ability to juggle and prioritize large number of activities across various applications Proactive problem solver and has the ability to think holistically and creatively Ability to focus on precision, accuracy, reliability, delivery and schedule phenomenal teammate with a positive attitude! Candidates who answer the following questions will be considered first. Please describe your experience with data analysis and data quality assurance. What was your most recent project? What were your contributions? What tools did you use? Please describe your experience with report creation and delivery. Be specific and provide examples of your contributions and the tools you have used. How many years of experience do you have with Fixed Income? Please tell us about your most recent project?

Looking for a Staff Data Role where you will head up a major infrastructure migration from Spark to Databricks, and influence the technical direction of the company's data strategy while working on a SaaS platform that enables millions of children to learn every day? Well, look no further! An industry leading Ed-Tech firm is looking for a Staff Data Engineer to join their team and do just that. What we need from you - Hands-on experience with DataBricks, EMR, and DMS - along with a knowledge of the AWS stack as a whole. Wizard-level skills in Python and SQL for building ETL. Experience with migration from one data platform to another (ideally from Spark). An understanding of modern best practices for Data quality and governance. Proven technical leadership experience. Excellent soft skills with experience managing internal and external stakeholders. What you'll be doing - End-to-end implementation of Databricks across enterprise-level data infrastructure. Guiding more junior Data Engineers on best practices and architecture. Influencing the technical direction of the data strategy at the highest levels of the business. Work arrangement - Fully remote position No sponsorship - GC or U.S citizens only Excellent benefits - 401K Matched/Health+wellness insurance/Unlimited PTO/Paid parental leave

Clearance Required: TS/SCI with Polygraph Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Scientists of all levels with polygraph clearances interested in supporting the U.S. Intelligence Community. When new cleared Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. People Centered. Data Driven Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients environment and needs. Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience. Summary of Position: 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. Job Specifications/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. * Ability to communicate complex models and concepts effectively in non-technical language. Desired Skills: * 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 - 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.

We are seeking an experienced Data Scientist with relevant experience in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred. This role resides in our Cyber department and reports to our Program Manager. This position is in the Ft. Meade area on customer site with a 10% travel requirement. SIXGEN supports cyber and intelligence missions by serving government and commercial organizations as they overcome global cybersecurity challenges. Our highly skilled operators conduct research and assessments based on real-world threats. We simulate adversaries and malicious actors to report details and actionable findings on critical assets and infrastructures. Our program planners advise mission owners to bring rapid solutions to intelligence mission leaders. Using innovative processes, tools, and techniques, we predict and overcome cybersecurity vulnerabilities. Our successes are supported by our diverse team of experienced, technical talent. SIXGEN, Inc. is an Equal Opportunity/Veterans/Disabled Employer. Core Responsibilities: Employ some combination of 2 of the following Foundations (Mathematical, Computational, Statistical) Data Processing (Data management and curation, data description and visualization, workflow and reproducibility. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations. Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations. Required Skills and Experience: Bachelor's degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Minimum of 10 years of relevant experience. Additional Details Job Location: Fort Meade, Maryland Clearance Requirement: TS/SCI w/ Polygraph Travel: Yes. Travel to the office will be required for meetings and collaboration. Estimated 10% or more Compensation & Benefits Competitive salary Employer-paid health insurance premiums (medical, dental, vision) Employer-paid short/long term disability insurance and basic life/AD&D insurance 401K with a 4% employer contribution Professional development reimbursement options available (training, certification, education, etc) Flexible and remote work policies for most positions Paid Time Off (PTO) at a rate of three (3) weeks plus one (1) day per year of service up to four (4) weeks annually 11 paid holidays per calendar year At SIXGEN, we are committed to fair and equitable compensation practices. The anticipated salary range for this role is $170,000 - $210,000 per year, depending on experience and qualifications. This range reflects our compensation philosophy, which takes into account various factors including the candidate's relevant experience, education, skills, LCATs rates and position level, and market competitiveness. In addition to base salary, employees may be eligible for other forms of compensation to include our growth incentive program, incentives and benefits. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure. We are committed to fostering an inclusive culture that values diversity in our people, reflecting the communities we serve and our customer base. We strive to attract and retain a diverse talent pool and create an environment where everyone is empowered to be their authentic selves at work. SIXGEN is an Equal Opportunity Employer. We ensure that all applicants are considered for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, age, marital status, ancestry, projected veteran status, or any other protected group or class.

The University of Maryland Medical System (UMMS) is an academic private health system, focused on delivering compassionate, high quality care and putting discovery and innovation into practice at the bedside. Partnering with the University of Maryland School of Medicine, University of Maryland School of Nursing and University of Maryland, Baltimore who educate the state's future health care professionals, UMMS is an integrated network of care, delivering 25 percent of all hospital care in urban, suburban and rural communities across the state of Maryland. UMMS puts academic medicine within reach through primary and specialty care delivered at 11 hospitals, including the flagship University of Maryland Medical Center, the System's anchor institution in downtown Baltimore, as well as through a network of University of Maryland Urgent Care centers and more than 150 other locations in 13 counties. For more information, visit ************* Job Description General Summary The 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 analytic efforts designed around the organization's strategic priorities and clinical/business problems. Develop 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. Support development of 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. Work in a team to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. Assist 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 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 related field required; comparable work experience may be substituted for the PhD degree. 3+ years of industry experience in the following preferred: 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. 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 to meet organizational goals. Plan work, set clear direction, and coordinate own 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: $62.94-$67.96 Other Compensation (if applicable): Review the 2024-2025 UMMS Benefits Guide

Rhombus Power is purposefully transforming defense and global security enterprises with Guardian, our Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance. We provide relevant, actionable, and AI-powered insights at each step in the defense decision-making cycle. Equipped with Guardian's AI-powered tools-- from infrastructure to data to insights -- our clients are able to solve their most complex, interconnected challenges and achieve decision and operational superiority. Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security. Learn more about Rhombus and watch a demonstration of Guardian, our AI Platform here -- *************************************** See the following articles to learn more about what we do: ******************************************************************************************************************** ********************************************************************************************************************************** ********************************************************************************************** Job description As a Data Scientist at Rhombus you will work with our Product team. You will design, develop, and launch efficient and reliable data pipelines to move, analyze, and model data and to provide intuitive analytics from Rhombus' large and complex datasets. A strong systematic mind is a priority, as well as the ability to communicate clearly in multiple technical contexts. The ideal candidate should be passionate about finding insights in large datasets, while maintaining attention to database architecture, data reliability, efficiency, and quality. As we are continually releasing new features and products, the ability to construct elegant system-level data architecture is expected. You will acquire, manipulate, and transform data to breathe life and meaning into arcane holdings, and use your creations to open new doors and opportunities to the customer. An innovative and inquisitive mind is required for success. Responsibilities Discover datasets that could help in solution development Data curation, data evaluation, and data analysis Design, create, and implement quantitative models Validation and quality assurance of data, models and results Deploy and implement solutions in collaboration with product team Interact with the product team on current and upcoming user requirements Responsiveness to customer feedback delivered by product team and responsiveness to customer timelines Systems-level approach to implementation to integrate solutions as part of a larger, interconnected project Qualifications Active TS or TS/SCI clearance A strong academic background in Statistics, Mathematics, Engineering, or similar degree is highly desired. We prefer candidates to hold at minimum a Masters degree. We have multiple openings! Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow Strong background in database management solutions, familiarity with databases such as MySQL and Oracle Large-scale data processing and implementing batch processing pipelines in HPC or cloud architecture Experience with Cloud Computing environments (AWS, GCloud, Azure) is a plus Location Palo Alto, CA; St. Louis, MO; Tampa, FL; San Antonio, TX; Colorado Springs, CO; Omaha, NE; Washington, D.C. Salary This position has a salary range of $90,000 to $200,000. Final salary will be determined based on experience and qualifications. Benefits Full medical, dental, vision coverage for employee and dependents 401k matching program PTO and Holidays Bonus and other incentive programs Access to mental health program Access to Flexible Spending Accounts for Health Care, Dependent and Commuter About Rhombus Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner. Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations - and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley. Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.

Company: Norstella Employment Type: Full Time **Description** At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. ** :** Norstella Real World Data (RWD) is seeking a skilled NLP Data Scientist with clinical background with a focus on Language Models to join our AI & Life Sciences Solutions team. Your expertise in processing and understanding natural language data, along with your knowledge of Electronic Health Records (EHR) and laboratory reports analysis, will be instrumental in driving our data science initiatives and innovations, particularly in the development of rich multimodal real-world datasets to expedite RWD-driven drug development in pharma. **Responsibilities:** + Employ and leverage NLP and open-source Large Language Models (LLM) such as LLama2, Mixtral, Qwen, BERT, etc., to extract, process, and interpret unstructured medical data from diverse sources like EHRs, medical notes, and laboratory reports. + Collaborate with clinical scientists and data scientists to create efficient NLP models for healthcare, exhibiting an understanding of both the technical and medical aspects of the data. + Conduct data cleaning, preprocessing, and validation to maintain the accuracy and reliability of insights gathered from NLP processes. + Validate and present data findings to stakeholders, exhibiting clear and effective communication skills. **Qualifications:** + Master's or Ph.D. degree in Computational Biology, Computer Science, Data Science, Computational Linguistics, Machine Learning, or a related analytical field. + Deep understanding and direct experience (2+ years) in handling and interpreting either Electronic Health Records (EHR) and laboratory tests results or genetic test results is a must. + Proven experience (2+ years) in NLP with a strong knowledge of NLP techniques such as Named Entity Recognition (NER), text summarization, topic modeling, etc. and their applied use in healthcare. + Expert-level understanding and practical experience (1+ years) with open-source Large Language Models (Llama2/3, Mixtral etc.), e.g., prompt engineering, inference, and fine-tuning. + Proficient in Python and SQL, with strong experience in NLP libraries such as NLTK, spa Cy, Hugging face Transformers, and deep learning libraries such as PyTorch, TensorFlow.Familiarity with common data science and ML practices, e.g., version control systems, agile methodologies, and documentation. + Experience in working with AWS cloud environment and large databases (e.g., AWS redshift). + Experience in managing ML lifecycle using open-source tools (e.g., MLflow).Detail-oriented with strong analytical and problem-solving abilities. + Excellent verbal and written communication skills, with ability to present complex data to non-technical audience. **Preferred Qualifications:** + Experience dealing with protected health information (PHI) and familiarity with healthcare-related data privacy laws such as HIPAA. + Familiarity with standard healthcare codes and terminologies such as ICD-10, CPT, LOINC, and SNOMED CT. + Experience in RAG (Retrieval-Augmented Generation) and vector store in the context of storing large volume of healthcare unstructured documents and querying those. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Paid parental leave Paid time off principles for success at Norstella **01: Bold, Passionate, Mission-First** We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. **02: Integrity, Truth, Reality** We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. **03: Kindness, Empathy, Grace** We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. **04: Resilience, Mettle, Perseverance** We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. **05: Humility, Gratitude, Learning** We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. The expected base salary for this position ranges from $140,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. _Norstella is an equal opportunities employer and does not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, color, nationality, ethnic or national origin, religion or belief, disability or age. Our ethos is to respect and value people's differences, to help everyone achieve more at work as well as in their personal lives so that they feel proud of the part they play in our success. We believe that all decisions about people at work should be based on the individual's abilities, skills, performance and behavior and our business requirements. Norstella operates a zero-tolerance policy to any form of discrimination, abuse or harassment._ _Sometimes the best opportunities are hidden by self-doubt. We disqualify ourselves before we have the opportunity to be considered. Regardless of where you came from, how you identify, or the path that led you here- you are welcome. If you read this job description and feel passion and excitement, we're just as excited about you._ Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Meta's products are designed to bring people closer together and make it easier for them to share information, ideas, and experiences. We are hiring experienced Data Scientist across a variety of our product areas including Facebook, Instagram, Monetization, Integrity, Gen AI, Messenger, Reality Labs, Whatsapp, and others!As a Data Scientist, you will collaborate on a wide array of product and technical problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. 4. Understand and identify opportunities to more responsibly leverage cutting edge technology. 5. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. 6. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. 7. Intellectual curiosity and drive, decisiveness, with ambiguity and complexity. **Minimum Qualifications:** Minimum Qualifications: 8. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. 9. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development. 10. Experience working effectively with multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance. 11. Experience framing and communication skills. **Preferred Qualifications:** Preferred Qualifications: 12. Masters or Ph.D. Degree in a quantitative field. 13. Experience with predictive modeling, machine learning, and experimentation/causal inference methods. **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

CTC Group is seeking Data Scientists, levels 1-2, for a contingent program to develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets. Responsibilities Produce data visualizations that provide insight into dataset structure and meaning. Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs). Incorporate SME input into feature vectors suitable for analytic development and testing. Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes. Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics. Develop statistical tests to make data-driven recommendations and decisions. Develop experiments to collect data or models to simulate data when required data are unavailable. Develop feature vectors for input into machine learning algorithms. Identify the most appropriate algorithm for a given dataset and tune input and model parameters. Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices). Evaluate individual analytic efforts and make recommendations in the analytic development process. Recommend solutions that can scale to large datasets. Collaborate with software engineers, cloud developers, and appropriate stakeholders to develop production analytics. Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation Requirements Active TS/SCI with polygraph security clearance Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, engineering, or computer science) from an accredited college or university. Level 1 Qualifications Four (4) years of relevant experience analyzing datasets and developing analytics. Two (2) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a Bachelor's Degree, an additional four (4) years of relevant experience may be substituted for a total of: Eight (8) years of relevant experience analyzing datasets and developing analytics. Two (2) years of experience programming with data analysis software. A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience, reducing the requirement to: One (1) years of relevant experience programming with data analysis software. Level 2 Qualifications Eight (8) years of relevant experience analyzing datasets and developing analytics. Five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. In lieu of a Bachelor's Degree, an additional four (4) years of relevant experience may be substituted for a total of: Twelve (12) years of relevant experience analyzing datasets and developing analytics. Nine (9) years of experience programming with data analysis software. A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience, reducing the requirement to: Six (6) years of relevant experience analyzing datasets and developing analytics. Three (3) years of relevant experience programming with data analysis software. A PhD in relevant discipline may be substituted for four (4) years relevant experience reducing the requirement to: Four (4) years of relevant experience analyzing datasets and developing analytics. One (1) year of experience programming with data analysis software. Pay Information The final salary may be influenced by various factors, such as location, labor categories, experience, education, and/or certifications. CTC also provides a variety of benefits as well as opportunities for continuous education and development. The estimated salary range for this position is $70,000 - $150,000. #CJ Why CTC Group? As a Service-Disabled Veteran-Owned Small Business (SDVOSB), we recognize that successful partnerships are based on open and direct communication, mutual respect, and the ability to adapt to evolving capabilities. Our cleared employees bring decades of experience supporting customers in the Intelligence and Defense communities. We specialize in providing engineering, technical, operational support, and training services to Federal government, and Mission Operations. CTC Group provides a comprehensive benefits package that includes, but is not limited to, Health/Dental/Vision, 401k, PTO and holiday pay, disability and life insurance. To learn more about our benefits, click here. CTC Group provides equal employment opportunities to all employees and applicants without regard to race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, genetic information, mental disability, age, military status or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner status, gender (including sex stereotyping), medical condition (including, but not limited to, cancer related or HIV/AIDS related) or sexual orientation in accordance with applicable federal and state laws. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Task Force Talent is seeking data scientists for a very well-funded Series C company working on insider threat and supply chain security problems. Target salary range is 150k to 200k+, plus equity, depending on experience level and location. Please note that although this is a data science position, the company is looking for skill sets much closer to software engineering. This is NOT a role focused on just on statistical analysis or building dashboards. Candidates will have to pass technical interviews similar to software engineering interviews. The company is profitable and growing fast with approximately 150+ employees. Positions are available in Tysons Corner, VA, and Salt Lake City, UT, with a hybrid (typically 3 days/week in the office) schedule; however, those hours are flexible to accommodate family/childcare and traffic as the goal of in-office hours is to know your team better. Benefits Company Equity Options and 401(k) Plan Unlimited PTO and Wellness Reimbursement U.S. Holidays Paid Parental Leave Comprehensive Insurance (Medical, Dental, and Vision) This company is completely private sector, no security clearance required; however, employment is open to U.S. citizens only at this time. ____________________________________________________________________________________________________________________________________________ Qualifications MUST be a U.S. citizen (no permanent residents, no visa sponsorship); while no clearance is required, candidates must be clearance-eligible. AT LEAST 3+ years (ideally 5+ to be most competitive) of experience in data science and/or analytics MS or BS in an engineering (preferred) or quantitative field (Science, Economics, Statistics) with a background in programming. Strong proficiency in Python, SQL, R or comparable languages Experience with large-scale data analysis and statistical modeling Ability to transform complex data into actionable insights Strong project management and prioritization skills Experience with Elasticsearch preferred Proven ability to work independently and as part of a team Strong communication skills for technical and non-technical audiences BONUS: Foreign language fluency, particularly languages associated with threat actors. ____________________________________________________________________________________________________________________________________________ Interview Process This company typically has a phone screen, followed by a coding exercise, and then several in-person interviews. They usually move fast -- introduction to offer within two to three weeks. About Us Task Force Talent is a specialized recruiting firm for science, engineering, and security careers. Our clients include seed to Series C startups working on AI, cybersecurity, quantum computing, and other novel technologies. We also work with small to medium-sized government contractors, and we help leading venture capital firms find talent for their portfolio companies. We have hundreds of jobs available and consider all applicants for all roles, now and in the future. Our goal is to find the best fit for you! ____________________________________________________________________________________________________________________________________________ Not your dream job, but perfect for a friend? You can submit a referral and get a check for $2000 or more: ***************************************** (Terms and conditions apply.) If you don't see the perfect fit, simply use our general application at: ****************************************************************************************

Spry is seeking a highly skilled and motivated Data Scientist to join our team. The ideal candidate will possess a Top Secret clearance and have extensive experience in designing and building complex data models. The candidate should also have familiarity with machine learning and artificial intelligence to support custom requirements. What Your Day-To-Day Looks Like (Position Responsibilities):Design, develop, and maintain complex data models.Develop and implement machine learning and artificial intelligence algorithms to meet custom requirements.Analyze large datasets to extract actionable insights and support decision-making.Collaborate with cross-functional teams to define, design, and implement data-driven solutions.Create and maintain documentation for data models, processes, and algorithms.Stay updated with the latest advancements in data science, machine learning, and AI technologies.Develop data visualizations and dashboards to communicate findings to stakeholders.Ensure data quality and integrity throughout the data lifecycle.Identify and address data-related issues and inconsistencies. What You Need to Succeed (Minimum Requirements):Active Top Secret (TS) clearance is mandatory.Bachelor's degree in Data Science, Computer Science, Statistics, or a related field.Proven experience as a Data Scientist or similar role.Extensive experience in designing and building complex data models.Familiarity with machine learning and artificial intelligence algorithms and tools.Strong programming skills in Python, R, or similar languages.Experience with data visualization tools such as Tableau, Power BI, or similar.Excellent analytical and problem-solving skills.Strong communication and teamwork abilities. Ideally, You Also Have (Preferred Qualifications):Experience with big data technologies such as Hadoop, Spark, or similar.Knowledge of cloud platforms (AWS, Azure, or Google Cloud) and their data services.Familiarity with SQL and NoSQL databases.Experience with natural language processing (NLP) and computer vision techniques.Experience with Agile/Scrum methodologies.

Welcome to the MOMENTUM Family! MOMENTUM is not just our company name; it is the highest value we deliver to our customers. We are a rapidly growing technology solutions company delivering innovative technology, engineering, and intelligence solutions across the DoD sector. The efforts of our high-capacity team ultimately strengthen our Nation and the warfighter. Our team is dispersed throughout the US, which means we value the diversity and unique collaboration that's fostered throughout our team. We work incredibly hard for our customers and believe deeply in our core values. We're a high-energy, high-growth team and we love to win. Data Scientist The Data Scientist will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our federal customers with the information they need to make proper decisions and enable their digital transformation. Typical duties include developing and deploying machine learning algorithms for enterprise applications, assisting federal customers in building applications, contributing to new feature implementation, and managing multiple projects in an agile, quality-focused setting. In this role, you will: Research, design, implement, and deploy Machine Learning algorithms for enterprise applications. Assist and enable federal customers to build their own applications. Contribute to the design and implementation of new features. Real passion for developing team-oriented solutions to complex engineering problems. Thrive in an autonomous, empowering, and exciting environment. Great verbal and written communication skills to collaborate multi-functionally and improve scalability. Interested in committing to a fun, friendly, expansive, and intellectually stimulating environment. Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, such as Amazon AWS, Microsoft Azure, or Google Cloud Services. Experience with deep learning, natural language processing, computer vision, or reinforcement learning. Conveys highly technical concepts and information in written form to technical and non-technical audiences. The ability to work on multiple concurrent projects is essential. Strong self-motivation and the ability to work with minimal supervision. Must be a team-oriented individual, energetic, result & delivery-oriented, with a keen interest in quality and the ability to meet deadlines. Ability to work in an agile environment. If you're suitable for this role, you have: TS Clearance or above. MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Minimum 2 years relevant work experience. Excellent programming skills in Python. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. To learn more about us, check out our website at ******************** MOMENTUM is an EEO/M/F/Veteran/Disabled Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The qualifications listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Accommodations: Consistent with the Americans with Disabilities Act (ADA) and Alabama civil rights law, it is the policy of Momentum to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please include request when applying.

SMX is seeking creative technical Data Scientist who can design and develop solutions with our clients. We are looking for someone who has hands-on experience with using data science skills and technologies. This person will be closely collaborating with other data analytics professionals to produce creative solutions that involve data pipelines, data models, and data visualizations. This is an onsite position with on-site work performed 5 days a week at a client's office located in Washington, D.C. Top Secret Clearance is required. Essential Duties and Responsibilities: Use your firm understanding of the math underlying ML model training and prediction in order to develop models and improve them Formulate and complete end-to-end projects that include data gathering, analysis, modeling, and ongoing scaled deliverables and presentations Structure/preprocess datasets to find usable information and to prepare for modeling Review and collaborate on recommendations and designs with other subject matter experts Take ownership of solutions, assignments, actions items and issues, and remain accountable for their completion Maintain solutions as business requirements evolve and upstream system changes are implemented Produce high-quality, well-written technical documentation Work effectively within a delivery-centric professional services team Collaborate with cross-functional stakeholders to understand their business need Provide transparent and regular status updates in requested format Work in a fast-paced Agile environment with fluid requirements and changing priorities. Required Skills: Hands-on experience with development and implementation of ML models Firm understanding of linear regression and regression/classification trees Basic math/statistics fluency Experience with a general-purpose programming language (e.g. Python) Understanding of techniques to avoid overfitting ML models Skilled in data manipulation/analysis Excellent collaboration skills Experience with AWS/Apache Airflow/Git a plus Required Experience: BA/BS or MA/MS degree in quantitative field or with strong emphasis on quantitative coursework (e.g., Statistics, Computer Science, Engineering, Mathematics) 2+ years of hands-on experience with development and implementation of ML mode Active Secret clearance with the ability to obtain a Top-Secret clearance **This position requires five days a week on site at customer location in Washington DC. ** Application deadline 5-31-2025 #LI-Hybrid #cjpost At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. All qualified candidates will receive consideration for employment without regard to disability status, protected veteran status, race, color, age, religion, national origin, citizenship, marital status, sex, sexual orientation, gender identity or expression, pregnancy or genetic information. Selected applicant may be subject to a background investigation and/or education verification.