Data Science Internship Jobs in Bel Air, MD

Are you service oriented and interested in working for an organization passionate about love and excellence? The intern will assist the Emergency Management Planner by participating in the development of plans, trainings, and exercises for Wilmington Hospital and the ChristianaCare Health System. Principal Duties and Responsibilities: Contribute to the development of plans, trainings, and exercises Assist with facilitation and evaluation of exercises that fall during the internship term Attend plan and exercise development meetings with the Emergency Management Planner Creating and maintaining emergency response checklists and manuals Coordinating and conducting disaster preparedness outreach events and workshops Supporting the Hospital Command Center (HCC) during incidents Monitoring emergency situations and providing updates Participating in post-incident analysis and evaluation Maintaining emergency management databases and records Conducting research on emergency management standard processes Preparing reports and presentations Knowledge, skill, and ability requirements: Knowledge of departmental policies and procedures Knowledge of all technical job duties and the ability to work independently Ability to exercise judgment, tact, and diplomacy in dealing with coworkers and other personnel Basic typing and computer skills Education an Experience High school diploma or GED Intern must have completed 2-3 years of a bachelor's degree or higher in Emergency Management, Disaster Management, Homeland Security, Public Health, or a related field FEMA IS-100, 200, 700, and 800 recommended but not required. Familiar with the Homeland Security Exercise Evaluation Program (HSEEP), Emergency Operations Plans (EOP), and Continuity of Operations (COOP) Plans preferred ***Please include a technical writing sample along with your resume. This can include a sample plan or policy the applicant has written for either a college class or other internship/job. Hours: Day 8am - 4:30p- Rotating Newark, Wilmington and Union Campuses We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Description In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at GSI Technologies. Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for.GSI Technologies is seeking a versatile System Administrator to tackle new challenges across the full stack as we continue to push security forward. GSI Technologies experience in the cleared space, combined with your technical knowledge, will propel your career forward with opportunity for advancement with top performance.Data analysts use data warehouses to perform queries and analysis on historical data. The information contained in a data warehouse can include data such as application log files and transaction applications. These tools are useful to analysts because they consolidate large datasets from many sources. Often called a “single source of truth,” a data warehouse allows a company to improve decision making based on historical insights over time. The data analyst serves as a gatekeeper for an organization's data so stakeholders can understand data and use it to make strategic business decisions. We are seeking a highly skilled and detail-oriented Data Analyst to join our team. In this role, you will be responsible for collecting, organizing, and analyzing large datasets to provide insights and support decision-making within the organization. You will also be responsible for creating reports and visualizations to communicate your findings to various stakeholders. Job Summary: The Data Analyst is responsible for overseeing DLA Spills data systems and reporting frameworks, guaranteeing the integrity and precision of data. The ideal candidate will transform raw data into structured information, which will then be analyzed to glean insights that drive strategic business decisions. This position encompasses a comprehensive analysis lifecycle, covering requirement gathering, activity execution, and design planning. Data analysts are tasked with enhancing analytical and reporting functions, as well as supervising performance and quality assurance processes to pinpoint areas for enhancement. A data analyst systematically collects, processes, and performs statistical analyses on data sets. Their responsibilities include: Data Cleaning and Preparation: This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance. Data Exploration and Analysis: Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends. Data Visualization: They create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance. Reporting: Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes. Collaboration: They often work with other departments to understand their data needs and help them make informed decisions based on data insights. Duties and Responsibilities: Gather data from primary and secondary sources, ensuring the upkeep of databases and data systems. Detect, examine, and decode trends or patterns within intricate datasets. Cleanse data and scrutinize computer-generated reports and outputs to identify and rectify coding errors. Coordinate with management to align business and informational priorities. Identify opportunities for process enhancements. Employ statistical techniques to scrutinize data and produce actionable business insights. Collaborate with the management team to determine and rank the needs of different business units. Develop data dashboards, charts, and visual aids to support decision-making across departments. Convey insights through both reports and visual presentations. Partner with engineering and product development teams to understand business requirements. Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes. MINIMUM QUALIFICATIONS, SKILLS, AND EDUCATIONAL REQUIREMENTS Possess a solid foundation in statistics and practical experience with statistical software (such as Excel, SPSS, SAS) and mastery in data analysis languages including SQL, Python, and R. Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness. Capable of critically evaluating data to derive meaningful, actionable insights. Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background. Prior experience in data analysis or a related field being advantageous. Additional Requirements Adept at report writing and presenting findings. Ability to work under pressure and meet tight deadlines. A deep understanding of the industry and business operations is a plus 2+ years of experience as a data analyst or related role. If you don't have 2+ years of experience in the field, please share related projects you have worked on in the past. Strong knowledge of SQL data visualization tools (e.g., Tableau, Excel, Looker, Google Sheets) Experience with statistical analysis software (e.g., R, Python) is a plus Excellent problem-solving and communication skills Ability to work independently and manage multiple projects at once AcknowledgmentI have reviewed this and the attached list of essential functions. I understand that I am responsible for the satisfactory execution of these duties, responsibilities and functions and I am able to perform them with or without reasonable accommodation. I understand that my duties and responsibilities may change from time to time without these changes being specified in this and that this job description in no way states or implies that these are the only duties to be performed by me when filling this position._____________________________________ __________________________ Signature DateATTACHMENT 1 - Essential FunctionsDESCRIPTION OF WORK ENVIRONMENTEQUIPMENT, MACHINES, TOOL, VEHICLES USEDComputer, smart devices, printer, pen, paper, scissors, copier, telephone, fax machine, office supplies and other equipment and materials.Environmental Exposure:Inside: 100% Outside: 0% Temperature: Air conditioned room Work is performed primarily indoors unless employee is required to go out of the office on company business. Employee will be in contact with chemicals (i.e., toner for copier and facsimile machines), and materials (i.e., paper) normally found at offices. Employee will also be exposed to minimal noise and vibration. Vision and Hearing:Must be able to clearly see with or without corrected vision. Must be able to differentiate and/or identify colors. Must be able to judge or distinguish distance and spatial relationships.Must be able to hear within a normal range with or without a hearing device.Occasionally means doing an activity up to 33% of the time.Frequently means doing the activity 34-66% of the time.Constantly means doing the activity 67%-100% of the time. Conditions NotApplicable Occasionally1-33%

A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we're pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: The Red Alpha Data Science Internship (summer of 2025) is a thorough and pointed experience doing real-time, meaningful data science work. Throughout your time at Red Alpha, you will take on tough problems, get executive exposure, engage in out-of-the-box solutions development, and participate in technical challenges. There are no gophers here. You will be treated as a professional peer, because you are one! Red Alpha invests heavily in the training, education, and professional mentorship of our interns. Each intern is paired with a mentor during their time with RED ALPHA to ensure they are engaged and immersed in work and experiences that will help them to grow professionally and broaden their technical tool set. From technology to business, we are looking for people who can innovate, collaborate and drive Red Alpha into the next era of an already rapidly-evolving digital marketplace. **You must be willing to live and work full-time in the Columbia, MD area for the duration of the internship** Work Hard, Play Hard, Succeed Together! That's Red Alpha. Join Us! What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. As a Data Science Intern, you will need the following skills: You must be enrolled in an undergraduate or graduate degree program and majoring in Computer Science, Data Science, Computer Systems or a related technical discipline at an accredited higher learning institution. Experience with Python, Java, C++, R, and/or other related programming languages is required. Due to the nature of our work, customers we support and the requirements surrounding our office space, a TS/SCI with Polygraph clearance is required. The total package: Our total compensation package was strategically designed with our members in mind with the intention to: reward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/disability, 401k, paid time off, professional development, and generous bonus programs. Full-time members are eligible for our full benefits package, whereas part-time or seasonal members may receive a limited benefits package. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $30 - $35/hr Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

Access Holdings Management Company LLC is a Baltimore-based middle-market investment firm with over $2.8 billion in assets under management. Founded in 2013, Access provides direct investment opportunities to create concentrated portfolios of essential service-based businesses in North America. We undertake active build-and-buy strategies, pursuing what we want to own, great markets and distinct business models. In doing so, Access partners, scales, and innovates to build enduring businesses. For more information, please visit *********************** Position Description The Data Scientist Intern will work with The Pulse Team, Deal Teams as well as our Portfolio companies to support the development and implementation of data-driven solutions. This individual will be responsible for assisting in the collection, transformation, analysis, and interpretation of large sets of data, as well as the development of models and algorithms to support better and quicker decisions for both Access Holdings and our Portfolio Companies. The internship is based at our headquarters in Baltimore, Maryland (a short commute from Washington, D.C.) We Offer: A small team environment in which Summer Analysts work directly with senior team members Opportunity to attend team events and one-on-ones with senior team members Responsibilities Assist in the collection and analysis of large sets of data Help to develop and implement data-driven solutions Create and maintain documentation of data analysis and modeling processes Communicate findings and insights to the team and stakeholders Contribute to the development and maintenance of data infrastructure Qualifications Successful candidates will have the following qualifications: Currently enrolled in a program in a related field (e.g. computer science, statistics, mathematics) Strong knowledge of statistics and data analysis Experience with programming languages such as Python or R Familiarity with machine learning techniques and libraries Strong problem-solving and communication skills Ability to work independently and as part of a team Ability to work with large, complex data sets Power BI experience, both building dashboards and writing DAX Requirements: Current sophomore or junior with a record of high academic achievement (cumulative GPA 3.3 or higher) Must be eligible to work in the US without requiring sponsorship both now and in the future

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.

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.

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world. Job Description: At Sun Life, we look for optimistic people who want to make life brighter for our Clients. We understand the value of diverse cultures, perspectives, and identities, and want you to bring your full and authentic self to work. Every day, you'll be empowered and challenged by working with dynamic colleagues to find new and innovative ways to make Sun Life the best benefits company in America. The opportunity: The Data Scientist role will provide advanced analytics support within the Business Analytics function that applies the power of data with machine learning to improve business outcomes across the Health and Risk Solutions business. This team is expected to work closely with the other teams across the organization, including functional teams and the analytic agile squads supporting AI use cases within various business domains. This position reports to the Director of Advanced Analytics Transformation within the Health and Risk Solutions business. Responsibilities include helping to develop and monitor predictive model and AI solutions to support our pricing, underwriting and clinical review processes, as assigned. Additional responsibilities may include applying machine learning techniques to streamline and automate aspects of these processes, and promoting a culture of data-driven, risk-based decisions. Sun Life embraces a hybrid work model that balances in-office collaboration with the flexibility of virtual work. How you will contribute: * Apply data science techniques to solve business problems across a broad range of data analysis functions including predictive analysis, data modeling, visualization, and data profiling. * Utilize multiple sources of data, including structured and unstructured data, along with broad range of machine learning techniques to improve insights of the models. * Support the development of new modeling techniques and procedures. * Develop and maintain high-quality, robust predictive models and AI using advanced analytic techniques * Extract and analyze internal and external data sources to help answer key business problems related to risk assessment. * Interpret data and ML models outputs and provide clear actionable insights and recommendations. What you will bring with you: * Ability to work with a diverse range of people * BS/MS in a statistical, mathematical, or technical field (e.g., computer science, actuarial science) * 2+ years of experience in developing and implementing data science techniques * Healthcare or health insurance experience preferred. * Strong knowledge of statistical and data science techniques, including machine learning, data visualization, A/B testing, and experience with databases * Proficiency in a broad range of data science programming languages, applications and data environments (e.g., Python, R, SQL) * Experience with machine learning framework and libraries * Commitment to data compliance, model governance and security protocols * Strong business acumen to understand why and how the work we do will impact our business stakeholders * Strong problem-solving skills and effective communication, with an ability to explain technical concepts to a non-technical audience What will be nice to have? * Demonstrated academic or industry experience with generative AI including prompt engineering, RAG workflows and integrating LLMs into business process. * Familiarity with MLOps practices, including model deployment, monitoring, and lifecycle management. Do you see yourself in this role even if you haven't checked all the boxes above? We welcome all talented candidates and are committed to a culture that represents diversity in all forms. If you think you might thrive in this setting, we would love to hear from you. Not ready to apply yet but want to stay in touch? Join our talent community to stay connected until the time is right for you! Life is brighter when you work at Sun Life * Excellent benefits and wellness programs to support the three pillars of your well-being - mental, physical and financial - including generous vacation and sick time, market-leading paid family, parental and adoption leave, a partially-paid sabbatical program, medical plans, company paid life and AD&D insurance as well as disability programs and more * Retirement and Stock Purchase programs to help build and enhance your future financial security including a 401(k) plan with an employer-paid match as well as an employer-funded retirement account * A flexible work environment with a friendly, caring, collaborative and inclusive culture * Great Place to Work Certified in Canada and the U.S. * Named as a "Top 10" employer by the Boston Globe's "Top Places to Work" two years running All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Salary Range: $82,500-$123,800 At our company, we are committed to pay transparency and equity. The salary range for this role is competitive nationwide, and we strive to ensure that compensation is fair and equitable. Your actual base salary will be determined based on your unique skills, qualifications, experience, education, and geographic location. In addition to your base salary, this position is eligible for a discretionary annual incentive award based on your individual performance as well as the overall performance of the business. We are dedicated to creating a work environment where everyone is rewarded for their contributions. Sun Life Financial is a leading provider of group insurance benefits in the U.S., helping people protect what they love about their lives. More than just a name, Sun Life symbolizes our brand promise of making life brighter -for our customers, partners, and communities. Join our talented, diverse workforce and launch a rewarding career. Visit us at ****************** to learn more. At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs. Our Affirmative Action Program affirms our commitment to make reasonable accommodation to the known physical or mental limitation of otherwise-qualified individuals with disabilities or special disabled veterans, unless the accommodation would impose an undue hardship on the operation of our business. Please email ************************* to request an accommodation. At Sun Life we strive to create a flexible work environment where our employees are empowered to do their best work. Several flexible work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs. For applicants residing in California, please read our employee California Privacy Policy and Notice. Job Category: Advanced Analytics Posting End Date: 23/03/2025 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Every minute of every day, Smiths Detection's threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place. Smiths Detection, part of Smiths Group is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security. Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security. This results in careers built on variety and the opportunity to work on a range of state-of-the-art solutions, where you can develop your knowledge and experience every day. Job Description We are seeking a Pricing & Data Analyst Intern for Summer 2025 to assist in analyzing pricing data, costs, and market trends. This role will focus on supporting the pricing team with data gathering, cost analysis for service contracts and products, and helping to identify margin improvement opportunities. The intern will gain hands-on experience working with real-world business data and contribute to projects that impact pricing strategy. Key responsibilities and accountabilities: * The selected intern will work with a Corporate Strategy Analyst (or Supervisor) and will: * Collect and organize pricing and cost data from internal systems. * Assist in analyzing service contract and product costs to understand regional differences. * Support the team in developing reports and visualizations to track pricing trends. * Conduct basic competitor pricing research. * Identify potential cost-saving opportunities through data analysis. * Present findings in a clear and concise manner to internal stakeholders. Qualifications Education: Degree-track undergraduate or graduate student in Business, Economics, Finance, Data Science, or a related field. Experience: Experience with data analysis projects or a previous internship preferred. Knowledge skills/other attributes: * Sound communication skills (written and verbal) * Inquisitiveness and a desire to learn and apply new-found knowledge * Demonstrated problem-solving abilities * Motivated, focused, proactive, and results-oriented * Microsoft Office software suite (Excel, Word, PowerPoint, etc.) * SQL, R, Python * Understanding of how to break down costs (COGS, service costs, etc.) and assess profitability. * Data interpretation and attention to detail * US Citizen preferred; ability to pass a background check and security vetting required SDI is a Federal Contractor and a drug-free workplace. By submitting an application, I confirm that I understand that the Company has a right to require me to submit to a drug test prior to employment and at any time during my employment, to the extent permitted by law. Additional Information We offer… Join us and we'll help build your career, with excellent training and opportunities for career growth across the business, both locally and globally. You'll experience an inclusive environment, with strong leadership and a focus on safety and wellbeing. You'll also have the flexibility to choose from a wide range of benefits to suit your lifestyle, offering you and your family support from a health and wellbeing, financial and lifestyle perspective. Join us and work for a world-leader, with the benefits and training to reward your dedication and skills. Be part of a team where we are making the world a safer place. Smiths Detection is an Affirmative Action and 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. Equal Employment Opportunity PostersIf you'd like to view a copy of the company's affirmative action plan or policy statement, please email *************************. The compensation for this position ranges from $15.00 - $35.00/hr and will vary depending on factors including level of school completed and type of position requirements for skills, whether technical or non-technical. We are committed to ensuring our interns are fairly compensated for their valuable contributions. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please e-mail ***************or call toll-free ************. This email and phone number is created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues not related to a disability, will not receive a response. Smiths Detection, Inc. participates in the Electronic Employment Verification Program. We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc)

The Institutional Research Data Analyst will work directly with the Director of Institutional Research at Notre Dame of University to support data collection, verification, analysis, and reporting needs to external organizations and agencies, as well as to internal stakeholders across various departments. The position will perform routine and ad hoc reporting; manage small- and large-scale data and research projects; and advance the Office of Institutional Research's capability to serve the university's management information needs. This role involves developing SQL scripts using Ellucian Colleague ERP platform and/or creating and modifying CROA reports to ensure data quality, integrity, and security. The position requires a strong understanding of data analysis methodologies, advanced technical skills, and the ability to manage multiple projects in a fast-paced environment. Essential Functions: Perform data collection, verification, and analysis to support internal stakeholders and external reporting needs, including federal, state, and accreditation requirements. Work with various departments (e.g., Admissions, Registrar, Financial Aid, academic departments) to ensure data accuracy, integrity, and consistency. Develop and modify CROA reports to support university management information needs and streamline reporting processes. Analyze data, write narrative reports, and communicate findings to stakeholders. Identify trends, opportunities, and concerns through data analysis to support university management information needs. Assist in the preparation of federal, State, accreditation, and other external reporting requirements. Support the academic schools and departments in meeting accreditation and other regulatory reporting requirements. In consultation with the Director of Student Success, serve as the IR point of contact and analyst for the EAB Navigate platform ensuring data accuracy, integrity, and consistency. Coordinates the creation and maintenance of appropriate technical documentation related to data processes, SQL scripts, and CROA reports. Maintain confidentiality of sensitive and personal information and ensure data handling aligns with university policies. Serve on university committees, taskforces, and workgroups as designated by the Director of Institutional Research. Perform such similar, comparable or related duties as may be assigned or required. Qualifications: Education: A bachelor's degree in a field such as Data Science, Statistics, Mathematics, Computer Science, Information Systems, or a related discipline from an accredited college or university. A master's degree in these areas or in Higher Education Administration is preferred. Experience: At least one (1) year of hands-on experience writing SQL queries to extract, manipulate, and analyze data. Familiarity with higher education data systems such as Ellucian Colleague (preferred), Banner, PeopleSoft, or other Student Information Systems (SIS). Experience with reporting for federal and state requirements (e.g., IPEDS, FVT/GE), and familiarity with accrediting bodies' data requirements. Additional education may substitute for required experience. Skills/Aptitude: Strong analytical skills and understanding of statistical concepts, data elements, and data analysis. Ability to write scripts (e.g., SQL, Python, R) to automate repetitive tasks or for advanced data manipulation. Experience with research design, quantitative and qualitative analysis, and reporting methodologies. Advanced skills in MS Office Suite (e.g. Excel) and familiarity with analytical tools (e.g. SPSS/STATA/SAS, Tableau, etc.). Advanced skills in managing data-related projects, including coordinating with various departments, meeting deadlines, and documenting processes. Strong interpersonal, oral, and written communication skills with the ability to work in a collaborative environment, interacting with faculty, administrators, and IT staff to gather data requirements and deliver solutions. Proven ability to work independently and as part of a team, with a positive attitude and adaptability to rapidly changing technologies. Working Conditions: Normal office environment (walking, sitting, climbing stairs, reaching, etc.). Light physical demands such as bending, carrying, kneeling, lifting, and pushing may be required. Training Requirements: Preventing Exposure to Bloodborne Pathogens FERPA Title IX Hazard Communication Right to Know Active Shooter Office Hazards Mission Orientation Other Responsibilities: This position is designated as a Responsible Employee (RE). A RE is required to report incidents of sexual misconduct to the Title IX/ADA/504 Coordinator. All applicants must submit: Cover letter Salary requirements Resume Contact information for 3 professional references Additional Information: Notre Dame of Maryland University is a private, Catholic university offering a variety of undergraduate, graduate, doctoral, and certificate programs for women and men established in 1895 with the mission to educate leaders to transform the world. The campus is situated on a 60-acre wooded campus in northern Baltimore, MD residential neighborhood of Homeland. NDMU challenges women and men to strive for intellectual and professional excellence, build inclusive communities, engage in service to others, and promote social responsibility. At NDMU, we expect respect for all members of our community. We believe differences should be recognized and celebrated. When we are exposed to the experiences and perspectives of others, we are challenged to think more critically and develop a deeper understanding of the world around us. Additional Information: This position offers a comprehensive benefits package to all employees who work at least 30 hours per week: Comprehensive medical, dental and vision Flexible spending accounts for health and dependent care expenses Retirement Plan through TIAA University paid Life & Accidental Death & Dismemberment policy, and Short and Long Term Disability Tuition Remission and Tuition Exchange Generous Paid Time Off 14-16 Paid Holidays each year Link to Benefits Page Notre Dame of Maryland University does not discriminate in offering equal access to its educational programs and activities or with respect to employment terms and conditions on the basis of age, ancestry, color, creed, disability, gender, gender identity, genetic information, marital status, national origin, race, religion, sex, sexual orientation, or protected veteran's status. The following person has been designated to handle inquiries regarding the non-discrimination policy: Greg FitzGerald, Chief of Staff, Notre Dame of Maryland University, 4701 North Charles Street, Baltimore, MD 21210, ************. For all other employment inquiries, please contact Human Resources at ************ or human_*****************. Notre Dame of Maryland University is an EEO employer.

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

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. Company Description 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 ************* 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

100% On-site -- Joint Base Andrews (JBA), MD (US Citizenship required to obtain security clearance.) Teracore is a Service Disabled Veteran Owned Small Business (SDVOSB) classified management consulting and information technology services firm. We are committed to creating and maintaining a corporate environment and culture that promotes long-term employment. Diverse talents help us to achieve the missions and objectives of our customers. We hope we can partner together to achieve those goals. Project Background: The contractors will support NGB/A1Y in Operational Research and Strategic Analysis for Air Force Recruiting Information Support System - Total Force (AFRISS-TF), making recommendations for planning, coordination, and execution of ANG mission requirements to enhance decision-making and productivity in recruiting and retention programs. The Data Analysts will serve as subject matter experts in data science and advanced analytics. The advanced analytical methods and mathematical models will be used to better understand complex systems and situations related to achieving ANG end strength. Position Description: This position provides data analysis and some operations research of the various Recruiting, Retention, Advertising/Marketing and Integration programs and/or activities utilizing data integration from AFRISS- TF and other available systems to include personnel information systems, technical training management systems, Basic Military Training data, and USMEPCOM physical and qualification data. Analysis of leads data is conducted for determining effectiveness of advertising and marketing initiatives and Return on Investment. Data analysis and research includes collection, evaluation and visualization of statistical data to provide ease of interpretation, quantification of relevant factors or milestones representing activity/productivity, potential forecasting upon which leadership will base decision-making for optimal efficiency of Recruiting, Retention, Advertising/Marketing investment activities, Funding seeking activities and Budget development and management. Tasks/Responsibilities: Provides data analysis, and data reporting queries to support various ANG programs including advertising and marketing investments, resource data analysis, retention and recruiting program analysis. These data analysis products will support the management and expenditure of recruiting & retention initiatives, recruiting analysis to quantify accession goals and assess recruiting production and health of recruiting programs by State, Wing and Unit. Perform data transformation to visually present data centric decision-making information Utilize collected data to analyze and visually represent ANG Recruiting efforts to meet end strength and readiness. Analyzes Retention data to provide recommendations for state specific efforts and impacts related to meeting end strength and readiness. Provides analysis of Retention data to identify status of Incentives Management, impact of incentives on Retention and Readiness, and provide status of Budgets and forecast Funding needs. Provides data and analysis to meet ANG Congressionally mandated end-strength, answer Congressional Inquiries, Higher Headquarters Taskers and leadership requests for data/information as needed. Works in conjunction with Active Duty Air Force and Air Force Reserve functional counterparts, other stakeholders and representatives to promote the exchange of information, best practices, capabilities, deficiencies, and technology advances as related to improving AFRISS-TF system functionality and efficiency in data collection, processing and reporting. Performs Test Validation of software changes as assigned and report test results via the configuration management process.. Manages all NGB/A1Y SCRs within the configuration management process by tracking, updating, and ensuring closure of tickets/SCRs within the designated trouble ticket/SCR tracking system. Ensure help desk personnel are aware of the completion of requested actions and/or release of fixes to defects, enhancements or new capabilities. Provides input for updates to all system documentation and support the software release activities by providing input to release notes to all ANG users with descriptions of new/modified system functionality. Provides training, instruction or briefings on system function or changes being released. Training shall be in the form of white papers, power point presentations, or live demonstrations, to include demonstrations via telecom/desktop sharing, webinars, or video recorded presentations. Required Skills: Bachelor's Degree in Data Analytics, Computer Programming, Database Management or related areas of study. Superior skills and experience specific and unique to this work environment/contract may be considered in place of the degree requirement: Knowledge and use of tools such as visual Query/Report-builder products, Bugzilla/System Change Request (SCR) creation/tracking software. Understanding of software development lifecycle methodologies to include waterfall, agile, spiral, etc. 3+ years of experience with requirements management to include process, documentation, prioritization, and refinement of requirements; and test management, which include planning, designing, implementation of test events, validation and reporting of results. Desired Skills: Prior experience working with Air Force Recruiting Information Support System- Total Force (AFRISS-TF) Prior experience working within a military base and/or government environment Experience with USAF, specifically ANG recruiting efforts and using AFRISS-TF At Teracore, we support, depend and thrive on differences for the benefit of our associates and customers. Teracore is an equal opportunity employer. Employment decisions are based solely on a person's merit and professional qualifications directly related to job competence.

About the Role Donegal Insurance Group has an opening for a Data Scientist (III or IV). The Data Scientist is responsible for developing predictive models and complex analytical solutions. may be preformed remotely or onsite at our Marietta, PA corporate office. Job Summary * Develop predictive models and complex analytical solutions in support of Underwriting, Pricing, Claims, and Marketing. * Provide requirements or build tools to integrate analytical solutions to enhance decision-making and/or refine operations * Interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining * Design, develop, and implement business solutions for the organization * Prepare big data, implement data models and develop database to support the business solutions * Work on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Goals are generally communicated in solution or project goal terms. * Serve as a leadership role for the work group through knowledge in the area of specialization. Responsibilities and Duties * Identify business trends and problems through complex big data analysis * Use various quantitative modeling techniques to analyze company specific experience and external data to better market, price, and underwrite company products * Develop financial and/or quantitative models to gauge the impact of corporate decisions * Ensure duties are performed in adherence to all Federal, State, and Local laws and regulations * Comply with guidelines, policies, and directives outlined in the company handbook and department manuals * Provide timely, courteous, and quality customer service to customers * Clearly demonstrate commitment and participation to team goals and objectives * Reliable attendance and punctuality Qualifications and Skills * Experience dependent on the level of Data Scientist. The current opening requires a minimum of 3 years of experience, at least 5 years experience preferred * Experience working with property/casualty insurance preferred * Bachelor's Degree in Data Science, Data & Analytics, Mathematics, Statistics, Actuarial Science or related field * Master's Degree or continuing education in a similar field preferred * PC skills to include: * Python * A Python model framework (Sklearn, Keras, H2O, Tensorflow, etc.) * Flask / Django exposure (or other web development framework exposure) for deployment focused role * Pandas package (+ data wrangling skills) * Additional preferred skills: * SQL * Docker * Linux command line * git * Data visualization * Hardware requirements * Database platforms * Industry specific software applications applicable to performance of position responsibilities * Microsoft Office applications Starting Pay: The pay range for this position is $100,000 to $140,000 annually. The specific offer will vary based on an applicant's education, qualifications, professional experience, skills, abilities, and any applicable designations/certifications. The posted pay range reflects our ability to hire at different position titles and levels depending on background and experience. The pay range may also be adjusted based on an applicant's geographic location. The base pay is just one component of Donegal's total compensation package for employees. This role may also be eligible to participate in a discretionary annual incentive program. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan. Application deadline to apply is March 14, 2025. For full consideration, applications must be received by the deadline; however, the posting will be kept open until the position is filled.

SharpRank is excited to announce the SharpRank Fall 2022 Data Analytics Internship program. This will be a Fall semester program purposed to allow college Juniors and Seniors the opportunity to gain hands-on experience of working for a professional sports and data analytics organization. Students/Teammates will have an opportunity to not only learn from some of the industry's leading professionals but will also get a chance to experience life at a sports tech startup firsthand. Highly motivated individuals will be selected for a 12-14 week (with a possibility of a performance based extension) Development Program for SharpRank. The selected candidates will work on well-defined projects with clear goals that will require a combination of analytical, technical (programming), quantitative & strong communication skills. The focus areas will be within the Data Analytics/Business Intelligence/Data Science needs relevant for SharpRank business growth while providing immense opportunity to learn and grow. Project Definitions * Build Reports, Dashboards, Visualizations & drive change management - Training and adoption * Understand user data needs and translate to build dashboards & powerful visualizations * Project based data science and statistical modeling with proprietary data sets * The right candidate will be self-motivated and have a "Product Maker" mindset in approaching the internship. Strong conceptual thinking to understand the business and ability to grasp analytical & technical concepts * The candidate will work directly under the supervision of a Manager with expertise in the area for supervision in defining project goals, milestones and deliverables through the duration of the 12-14 weeks. Our Internships Offer You The Opportunity To * Explore Career Opportunities - by working in the field you have chosen; you can receive an inside look at your potential career path, especially within SharpRank's growing platform * Network - meet a variety of people in your chosen profession through your internship, allowing you to form relationships you can build on in the future * Find Mentors - certain individuals can help guide you through your internship and expose you to opportunities to which you can aspire Qualifications Students should be pursuing a pursuing a bachelor's degree in Computer Science, Statistics, Mathematics, Information Systems or relevant degree concentration. Previous experience preferred. The ideal candidate is a hands-on team player who has a passion for sports, sports analytics, and the growing sports gaming space. We are looking for someone that is a self-starter and is eager to make their mark at new and rapidly growing company. They must be tenacious and trustworthy and be at ease in a rapidly changing yet rewarding environment. This person should embody a passion for continuous improvement, delivering a quality, robust product, and, most of all, sports! The qualified candidate will apply lessons learned in his/her previous experience and pull it all together to take on a foundational and eventual leadership role in a startup company with a bright future. They will work directly with the leadership team on their semester goals and role execution. The key to success for the qualified candidate is an open channel of communication between the candidate and the leadership team. Have a question or an idea for improvement? We're all ears. Email us at ******************• Must be a recent graduate, or enrolled full-time as a Junior or Senior for the Summer 2022 semester at an accredited university. * Minimum GPA of 2.75 * Eager to learn and work with various departments in the company * Excellent verbal and written communication skills * Proficiency in Microsoft Office * Familiarity with R, Python, Tableau a plus * Ability to work in a supportive team environment * Ability to work in a dynamic, fast-paced environment * Exceptional attention to detail and accuracy * Ability to multitask * Previous experience is a plus Application deadline: Aug 19 Internship Dates: August through December SharpRank is proud to offer internships and opportunities with the following departments*: * Brand Management - Marketing/Social Media (Virtual or Corporate Office) * Data Analytics (Corporate Office Washington DC - Baltimore Metro Area) * Corporate Sponsorships/Partnerships (Corporate Office Washington DC - Baltimore Metro Area) * Campus Ambassador (Respective Campus) * Please only apply to a posting that is relative to your degree program Qualified resumes may be sent to:******************

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Description & Requirements This role offers hands-on experience in supporting our Business Development teams to identify and engage with potential partners. This role will focus on providing research and analyzing small businesses and technology partners, including SBIR (Small Business Innovation Research) awardees, to help Maximus expand its partnerships and innovative solutions in the federal space. Essential Duties and Responsibilities: - Conduct business analysis to support the Business Development department. - Support process improvements and project deliverables. - Research potential market trends. - Assist in special projects in the Business Development department. - Assist with ad-hoc reporting and other tasks. Maintain and update partnership database, ensuring accurate records of potential and existing partner interactions. Assist in preparing reports, presentations, and briefing materials for internal stakeholders. Minimum Requirements - Currently enrolled in an accredited college or university and pursuing a college degree in a related field. - Must have completed a minimum 2 years of coursework. - Ability to perform comfortably in a fast-paced, deadline-oriented work environment. - Skilled in standard computer applications and platforms such as Outlook and MS Office Suite, PowerPoint, and Excel. - Excellent interpersonal communication, teamwork, and customer service skills. - Demonstrated ability to juggle multiple priorities with superior attention to detail. Strong research and analytical skills with an interest in government contracting and small business development. Excellent communication and writing skills, with the ability to summarize findings clearly and concisely. Proficiency in Microsoft Office (Excel, PowerPoint, Word) and ability to work with data. EEO Statement Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We're proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Minimum Salary $ 22.00 Maximum Salary $ 26.00

In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We've got what you're looking for. Job Description: As a Business Operations Analyst Intern, supporting business development operations across Defense & Intelligence, focused on analyzing sales data using statistical techniques, ensuring CRM opportunity and sales data integrity, and liaison support across functional support teams. DC Metro area preferred. The Business Operations Analyst will be Responsible & Accountable for: * Customer Relationship Management (CRM) data input and management. * Oversee daily input of data into the CRM, ensuring accuracy and completeness. * Develop and enforce protocols for data entry, validation, and maintenance. * Conduct routine audits of data to ensure integrity, removing duplicates and ensuring data consistency across the system. * Collaborate with business development teams to ensure timely updates to opportunity records and capture status * Analyzing data using statistical techniques and providing reports, to include Salesforce and PowerBI. * Create, maintain, and distribute customized reports and dashboards for sales and leadership teams. * Develop forecasting models and pipeline tracking mechanisms to support business development efforts. * Analyze CRM data to provide insights on opportunity tracking, win/loss analysis, and proposal success rates. * Ensure all reporting complies with internal policies and external regulatory requirements, especially as they relate to government contracts. * Acquiring data from primary and secondary sources to ensure reporting and forecasting is accurate. * Implement and monitor data quality controls to ensure the accuracy and completeness of all Salesforce data. * Regularly review data for inaccuracies, missing information, or inconsistencies and take corrective action. * Work with cross-functional teams to improve data flow processes and enhance data quality. * Maintain an ongoing data cleansing schedule to ensure long-term CRM data integrity. * Identifying, analyzing, and interpreting trends or patterns in complex data sets. Required: * Experience in Data visualization, data processing, data management * Experience with Customer Relationship Management (CRM) tools, to include Salesforce. Desired: * Experience in Business Development * A continuous learner * Self-Awareness * Excellent verbal and written communication skills * Drive and desire for advancement Minimum Clearance Required to Start: Not Applicable/None This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what's next to deliver the solutions our customers need now. Salary Range: $14.66 - $24.95 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as 401K! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee's wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest-APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to ************************************************

Clearance Required: TS/SCI with Poly 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. Position Responsibilities: 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. Required Degree and Experience: * Bachelor Degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) + 7 years of experience, Masters Degree + 5 years of experience, or PhD + 2 years of experience Required Skills: * Programming experience with data analysis software such as R, Python, SAS, or MATLAB. * 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). * 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. 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 over 20 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, 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 our positions require US Citizenship.