Senior data scientist jobs in Maryland

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

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with Relational DBs (MySQL, Postges, SQL Server) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). 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 Senior Data Engineer Richmond, VA: $144,200 - $164,600 for Senior Data Engineer 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 (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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 **About AV:** **AV isn't for everyone. We hire the curious, the relentless, the mission-obsessed. The best of the best.** We don't just build defense technology-we redefine what's possible. As the premier autonomous systems company in the U.S., AV delivers breakthrough capabilities across air, land, sea, space, and cyber. From AI-powered drones and loitering munitions to integrated autonomy and space resilience, our technologies shape the future of warfare and protect those who serve. Founded by legendary innovator Dr. Paul MacCready, AV has spent over 50 years pushing the boundaries of what unmanned systems can do. Our heritage includes seven platforms in the Smithsonian-but we're not building history, we're building what's next. **If you're ready to build technology that matters-with speed, scale, and purpose-there's no better place to do it than AV.** **Careers at AeroVironment (*****************************************

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.

Clearance: Active TS\/SCI and Full Scope Polygraph Clearance Required (Expired within 18 Months is also acceptable) About the Role: 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. 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 Required Education & Years of Experience: 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, eight (8) years of relevant experience analyzing datasets and developing analytics, and five (5) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. 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, and three (3) years of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB. 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, and one (1) year of 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, and nine (9) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. 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Job Title: Data Scientist (Senior) Location: Patuxent River, MDTime Type: Full-time Clearance Requirement: DoD Active SECRET clearance is required, and must be eligible for TS/SCIEmployee Type: W2 or 1099Citizenship: US Citizen, no Dual Citizenship Job Description: NexThreat is currently recruiting for a Data Scientist, Senior to support the Naval Air Warfare Center - Aircraft Division (NAWCAD) at Patuxent River Naval Air Station in Lexington Park, MD. The Data Scientist will develop analytics methodologies and processes to extract actionable insights from large, complex data sets to support naval aviation operations, platform readiness, and mission effectiveness. The role requires applying machine learning, statistical modeling, data cleansing, and automation to drive predictive and prescriptive analytics, with a strong emphasis on security, reliability, and interoperability within DoD/Navy standards. The candidate will collaborate with cross-functional teams, including cybersecurity, systems engineering, software development, and operations, to deliver data-driven solutions and operationalize analytics. Responsibilities: · Identify, design, and implement analytics methods and tools to extract knowledge from large data sets and support decision-making for fleet readiness and sustainment· Prepare and preprocess data (data cleansing, normalization, integration from diverse sources) to enable robust modeling and analytics· Develop and deploy predictive and prescriptive models (e.g., forecasting, anomaly detection, maintenance optimization) using appropriate ML/statistical techniques· Automate data processing and analytics workflows through scripting and orchestration to improve efficiency and reproducibility· Ensure data security and compliance with Navy/CMMC-like standards, including data handling, access controls, and auditing requirements· Support transition and operationalization of analytics solutions, including training, handover packages, and knowledge transfer to operators and maintainers· Maintain currency with technological advances in data science, AI/ML, cybersecurity, and Navy/government data practices Requirements: · Must have a bachelor's degree in a technical or scientific field from an accredited college or university· Must have at least 7 years of experience performing work related to the labor category functional description · DoD Active SECRET clearance is required, and must be eligible for TS/SCI Desired/Preferred Qualifications: · One of the following certifications: CCNA Security, CySA+, GICSP, GSEC, Security+ CE, SSCP and an OS/CE Certification/Qualification Achieved· Experience in working with DoD or U.S. Navy

Technical Bachelor's Degree and Master's Degree required, Software engineering experience can be substituted for the Masters. The 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. 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, Receiver Operating Characteristic [ROC] curves, confusion matrices); Oversee the development of individual analytic efforts and guide team in analytic development process; Guide analytic development toward solutions that can scale to large datasets; Partner with software engineers and cloud developers to develop production analytics; Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation. This position requires a current TS/SCI security clearance with polygraph

Senior Data Scientist Location: Fort Meade, MD, 20701 CLEARANCE: TS/SCI W/ FULL SCOPE POLYGRAPH (Will sponsor if active TS or above) Job Description: We are seeking a highly skilled Senior Data Scientist to join our team in Fort Meade, MD. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. The Senior Data Scientist will be responsible for developing and implementing data-driven solutions to complex business problems. Responsibilities: Lead the design and implementation of data science projects Develop predictive models and algorithms to drive business decisions Analyze large datasets to uncover insights and trends Collaborate with cross-functional teams to identify opportunities for data-driven solutions Communicate findings and recommendations to stakeholders Requirements: Bachelor's or Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field 10+ years of experience in data science or related field Proficiency in programming languages such as Python, R, or Java Data visualization tools (e.g., Power BI, Tableau) Experience with machine learning, statistical analysis, and data mining techniques. Developing AI/ML tools for operational use Experience with machine learning techniques and algorithms Strong analytical and problem-solving skills Excellent communication and presentation abilities

Your Remote Tech Recruiter is exclusively engaged with a US-based Tech Consultancy, who are looking to hire Senior Data Scientists for a key strategic project in Ft. Meade, MD. They're boutique in size (>50), but deliver large-scale programs of work to the US Government/DoD, with a specific focus on Cyber Security, Data Engineering and Cloud technologies. Based out of Ft. Meade, this role will see you work for one of their largest customers, operating in a hybrid role encompassing technical leadership, project strategy and hands on project work. You'll be working on top secret projects (we're talking the highest level of clearance), working alongside a group of talented (and driven) technologists on projects that genuinely make a difference. In terms of core requirements, rather than including a 'shopping list' of skills, I've highlighted the important stuff below: Degree in a relevant field (i.e. Mathematics, Applied Statistics, Computer Science, Machine Learning, Physics etc.) Experience designing and implementing Machine Learning models and advanced algorithms Background in programming (Python, R), data modelling and AI Security clearance requirement - TS/SCI FSP In return, you'll benefit from over 30 days annual PTO, a wide variety of benefits and a salary ranging from $180,000 - $250,000 (depending on experience). Interested? Get in touch by applying to this advert, contacting me via LinkedIn (search for 'Liam Haghighat') or send your resume to **************************! P.S. This role doesn't offer visa sponsorship

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

Benefits: 401(k) matching Competitive salary Dental insurance Health insurance Paid time off Vision insurance WHO WE ARE US AI stands as a forward-thinking digital transformation enterprise, dedicated to enabling individuals to achieve remarkable feats through cutting-edge technology. As a leader in Artificial Intelligence, Cybersecurity and Self-Healing Infrastructure, we are actively seeking top-tier talent to spearhead the commercialization of groundbreaking products and propel our business to new heights. If youre passionate about pushing the boundaries of whats possible in the digital realm, then this is the place for you. Come work with us, and lets redefine the future together. About the job As a Sr. Data Scientist, you will play a pivotal role in analyzing large datasets, uncovering insights, and driving data-driven decision-making within our organization. This position offers an exciting opportunity to work on a wide range of projects. You will have the opportunity to unleash your data wizardry and embark on a thrilling data expedition with us. Were on the hunt for a passionate explorer of insights, an alchemist of algorithms, and a creator of predictive wonders. In this role, youll be at the forefront of innovation, transforming raw data into strategic gems that guide our companys success. What youll do Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements, manipulating data and drawing insights from large data sets Create and use advanced machine learning algorithms and statistics, such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Create data architectures Visualize and present data to stakeholders Education & Experience Bachelors degree or equivalent experience in a quantitative field, such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline. A minimum of one (1) year of hands-on experience in data analysis, machine learning, or statistical modeling. Demonstrated expertise gained through relevant internships, coursework, and personal projects that highlight your skills and a strong dedication to the field of data science. Fundamental knowledge of cloud platforms like AWS, Google Cloud, or Azure, with an emphasis on their use for scalable data analysis. Minimum 7 years of experience. Required Skills / Certifications Competency in SQL for data extraction and manipulation, along with experience working with databases to retrieve and store data. Strong data analysis skills, including data cleaning, exploration and visualization. A foundation in machine learning with experience in building and deploying machine learning models. The ability to approach complex data problems, devise solutions, and successfully implement them within project deadlines and objectives. A drive to learn and master new technologies and techniques Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in programming languages (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Excellent written and verbal communication skills for coordinating across teams Awareness of ethical considerations in data science, including privacy, bias, and fairness in algorithms. Preferred Skills / Certifications Masters degree in Data Science or closely related field Recognized certifications in the field of Data Science Security clearance You must be able to obtain a security clearance (Secret or higher) US Citizenship required COMPENSATION $150,000-$200,000 per year based on skills, experience Benefits We offer a comprehensive benefits package, paid time off, life insurance, 401(k) retirement savings plan with employer matching, and opportunities for professional growth and career development. You have the legal right to work in the United States without current or future employer sponsorship. Qualified candidates must live in the United States, with the ability to commute to the North Bethesda, MD office. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. USAI is committed to a policy of equal employment opportunity for all persons without regard to race, color, religion, sex, gender identification, age, marital status, disability, sexual orientation, national origin, disabled veteran or Vietnam-era veteran, or any other classification protected by applicable anti-discrimination laws. We prohibit and do not tolerate any form of discrimination or harassment.

**MANTECH** seeks a motivated, career and customer-oriented **Senior** **Data Scientist** to join our team in **Patuxent River, MD.** This is a fulltime **onsite** position. **Responsibilities include but are not limited to:** + 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 + Create dynamic data reports + Apply knowledge to develop and implement a set of techniques or analytics applications to transform raw data into information using data-oriented programming languages and visualization software + Travel up 10% **Minimum Qualifications:** + 8+ years of experience performing Data Scientist related work + Bachelor's degree in a technical or business discipline, or a High School Diploma and 14+ years of data scientist experience, or an Associate's degree and 12+ years of data scientist experience may be substituted in lieu of degree + Ability to conduct briefings to Senior Military & Civil Service personnel **Preferred Qualifications:** + 3+ years of experience supporting NAVAIR programs or related organizations + 2+ years of experience with utilization of the Synthetic Theater Operations Research Model (STORM) simulation model + Familiarity with the Naval Aviation Enterprise (NAE) organization and operations + Familiarity with NAVAIR Acquisition process **Clearance Requirements:** + Must be a U.S. Citizen and possess and active or current Secret clearance **Physical Requirements:** + The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ******************* and provide your name and contact information.

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

We're searching for Data Scientists to contribute to an important mission within the Federal Government. Data Scientists shall possess the following capabilities: Candidates should be proficient in 2 or more of the following skill areas: 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. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in Government data holdings. 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 Government collection, processing, storage and analytic capabilities and limitations. Data Scientist Level 2 Salary: $132,000 - $147,100 Qualifications: Bachelor's Degree with 3 years of relevant experience Associates degree with 5 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Benefits: **************************************************************** Weeghman & Briggs was established in 2016. We are a team of like-minded people who do business, generate ideas and realize them. Consulting and Cyber Security are our main directions and we know how to deal with many current issues and provide the best services in offering resolutions. Weeghman & Briggs is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local laws.

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Requirements Bachelor's Degree with 10 years of relevant experience, Associates degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Employ must have some combination (2 or more) of the following skill areas: Data Processing: Data management and curation, data description and visualization, workflow and reproducibility

Job Description Employ some combination (2 or more) of the following skill areas: 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 Through analytic modeling, statistical analysis, programming, and/or other appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in customer data holdings Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist other 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 constantly shifting collection, processing, storage and analytic capabilities and limitations Required Skills: US Citizens Only Active TS/SCI Clearance and Polygraph required Information Assurance Certification may be required Minimum of three (3) years of relevant experience and a Bachelor's degree or five (5) years of relevant experience and an Associate's degree required. Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university Relevant experience must be two of more of the following: Designing/implementing machine learning Data science Advanced analytical algorithms Programming (skill in at least one high-level language (e.g., Python)) Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models) Data management (e.g., data cleaning and transformation) Data mining Data modeling and assessment Artificial intelligence Software engineering Compensation Range: $53,164.61 - $116,962.14 _____________________________________________________________________________________________________ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _____________________________________________________________________________________________________ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR UBrQc4L9hb

Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.Active TS/SCI w/ Polygraph required.Required Skills:• Programming Languages: 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. • Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. • Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. • Data Wrangling: 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. • Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. • Data Visualization: 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. Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.

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

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 talented and experienced Cyber Hunt Analyst with Data Science experience to apply strong cyber security, Defensive Cyber Operations (DCO), and networking domain knowledge to support cyber analytics product development, threat analysis, statistical analysis, model development, and direct customer mission support. Regular cyber hunt activities consist of hunting for threats, reporting on findings, and converting tools, techniques, and processes into automated capabilities for the current cyber platform. Regular data science activities consist of operational research, statistical analysis, hypothesis testing, model building/testing, and communicating results using visualizations. Will also be responsible for collecting customer Cyber Operations requirements, generating use cases, providing Cyber SME support, and system training to end users. Conduct threat hunt operations on assigned Big Data Platform(s) - BDP Present threat hunt findings through live - interactive remote conference sessions Perform data analytics across disparate data sets Assist customer(s) with their threat hunting operations Perform quality assurance checks on data that is resident on the BDP Evaluate and analyze new data feeds to determine relevance and usability of data Support BDP analytic requests (data search, visualizations, dashboards etc.) Provide real time customer support during normal working hours (BDP support chat room) Maintain situational awareness of emerging cyber threats for possible action and notification to an impacted customer(s) Support BDP demonstration requests to showcase various capabilities of the platform Support BDP training events either in person or virtually Provide advice on data enrichment and functions to enhance customer experience This position allows for partial telework. Clearance A current Secret level security clearance is required with the ability to obtain a TS/SCI level clearance. Candidates cannot be sponsored or nominated for a government security clearance under this position. Experience Five (5) years of experience in cyber security operations related fields and a Bachelors in related field or three (3) years experience with Masters; or High School Diploma and nine (9) years experience. Required skills: Experience with supporting DoD customers, ideally supporting US Cyber Command, DISA, or DCDC Cyber Hunt methodologies and techniques SIEMs - (e.g., Splunk, Q-Radar, ELK) SOARs (e.g., Sentinel, CORTEX, X-SOAR) Developing and deploying threat detection signatures and detecting host and network-based intrusions Collecting data from a variety of cyber defense resources. (e.g., CVE, OSINT) Recognizing and categorizing types of vulnerabilities and associated attacks Reading and interpreting signatures (e.g., SNORT, SIGMA, Yara, YAML) Cyber defense and vulnerability assessment tools and their capabilities Network traffic analysis methods (e.g.,TCP-DUMP, Wireshark, Bro/Zeek) Familiar with cyber attack stages (e.g., reconnaissance, scanning, enumeration, gaining access, escalation of privileges, maintaining access, network exploitation, covering tracks), and incident response and handling methodologies. (e.g., MITRE ATT&CK, LM Killchain) Intrusion Detection System (IDS)/Intrusion Prevention System (IPS) tools and applications Excellent customer service, public speaking, and presentation skills Ability to complete technical tasks without supervision Ability to foster and support a collaborative working environment Must have Data+, Security+, CySA+, GCIH, GNFA, GCFA or other industry recognized Cybersecurity Certification DoD 8570 IAT Level II certification (e.g. Security+) Travel as needed to support all duties listed above Must be able to work on customer site on average 4 days a week in either Columbia or Ft. Meade, MD. Flexibility is essential to adapt to schedule changes as needed Desired skills: TS/SCI level clearance is preferred DoD SOC experience is a plus 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 $150,000 - $275,000. 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.