Our client is looking for aSr. Principal Data Scientist to support the collection, storage, processing, and analysis of data across the National Space Intelligence Center (NSIC) at Wright Patterson Air Force Base, OH. NSIC is a field operating agency that is responsible for performing national and military space missions and evaluating capabilities, performance, limitations, and vulnerabilities of space and counter-space systems and services. If youre interested, email [email protected] your resume. Position: Sr Principal Data Scientist Location: Fully onsite in Wright-Patterson Air Force Base, OH Hours: Regular business hours Compensation: $135,000-$170,000/yr depending on experience Clearance: Active TS required Your responsibilities: <ul><li> Aid in assessing the current state of data management within NSIC. Identify existing data assets, systems, and processes. Develop a comprehensive understanding of data needs, challenges, and opportunities. <li> Provide recommendations for robust data infrastructure and architecture to support the collection, storage, processing, and analysis of data across NSIC. Identify modern technologies such as cloud computing, big data platforms, and analytics tools to enable scalable and efficient data management. <li> Implement a comprehensive data lifecycle management framework that encompasses data acquisition, ingestion, storage, processing, analysis, sharing, and disposal. Ensure compliance with regulatory requirements and best practices throughout the data lifecycle. <li> Establish mechanisms for ensuring data quality and integrity across disparate data sources within NSIC. Implement data integration solutions to enable seamless interoperability and information exchange between different systems and organizations. <li> Leverage advanced analytics techniques such as machine learning, artificial intelligence, and data visualization to derive actionable insights from NSIC-produced data. <li> Identify training programs and capacity building initiatives to empower NSIC personnel with the knowledge and skills required for effective data management. </ul> Basic Qualifications: <ul><li> Bachelors degree in a STEM discipline with 9 years of relevant experience; Master's degree in a STEM discipline with 7 years of relevant experience; PhD in a related field with 4 years of relevant experience <li> Understanding of IC data requirements and challenges. <li> Ability to align data initiatives with the DoDs strategic goals and IC mission objectives. <li> Knowledge of data lifecycle management, including data governance, data quality, and data security. <li> Understanding of data architecture frameworks and the ability to design scalable, secure, and efficient data systems. <li> Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data storage and processing. <li> Proficiency with databases (SQL, NoSQL) and data warehousing solutions. <li> Experience with data visualization tools (e.g., Tableau, Power BI) to present data insights effectively. <li> An active Top-Secret clearance with SCI. </ul> Preferred Qualifications: <ul><li> Product Lifecycle experience <li> Proficient using query languages such as SQL <li> Experience mentoring and leading peers in data science projects <li> Strong applied statistics skills, such as distributions, statistical testing, regression, etc. <li> JMP proficiency (SAS statistical tool) and experience scripting in JSL <li> MATLAB experience </ul> EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Data Scientist Location: Roanoke VA (Client does offer relocation packages to Roanoke VA)Hybrid: 4 days onsite and 1 day remoteEmployment: Direct Perm Hire with ClientPay: $90,000 - $115,000 with annual 10% Bonus Qualifications: <ul><li>Master’s or PhD in Data Science, Computer Science, Statistics, Environmental Science, or a related field.</li><li>Minimum of 5 years of experience in data science, with a proven track record of leading data-driven projects that have significant business impact.</li><li>Expertise in machine learning, statistical analysis, and predictive modeling.</li><li>Strong programming skills in Python, R, or a similar data science language.</li><li>Experience with big data technologies and tools (e.g., Hadoop, Spark).</li><li>Knowledge of sustainability practices and metrics in the heavy building materials industry is highly desirable.</li></ul> Position Summary: We are seeking a Data Scientist to join clients our dynamic team. This individual will play a key role in leveraging data analytics and machine learning to drive our sustainability goals, optimize our operational efficiency, and enhance decision-making processes. The Data Scientist will be at the forefront of our efforts to harness the power of data in reducing environmental impact, improving product quality, and fostering a culture of innovation. Key Responsibilities: <ul><li>Lead complex data analysis projects that offer strategic insights and drive business outcomes. </li><li>Develop and implement machine learning models to predict trends, optimize processes, and improve product quality. </li><li>Collaborate with cross-functional teams, including engineering, environmental science, and marketing, to ensure the alignment of data science projects with corporate sustainability goals. </li><li>Analyze large datasets to identify opportunities for reducing energy consumption, waste, and greenhouse gas emissions. </li><li>Design and execute A/B testing frameworks to validate hypotheses and measure the impact of data-driven interventions. </li><li>Communicate complex data insights and recommendations to non-technical stakeholders in a clear and actionable manner. </li><li>Stay abreast of the latest developments in data science and sustainability practices, incorporating cutting-edge techniques and methodologies into projects. </li><li>Mentor junior data scientists and analysts, fostering a culture of learning and continuous improvement.</li></ul>

Title: Data Scientist Location: 100% remote with travel to Richmond VA Office once every few months (travel covered by company). Contract: 6 month contract o full time direct hire Pay: $60.00 - $70.00 / hourly rate - Salary conversions once full time APPLY HERE: Please email resume to Skylar at [email protected] Qualifications: •Knowledge of insurance industry data and metrics. •Proven experience in a data specialist role within the insurance industry. •Strong proficiency in SQL and Python for data analysis and ETL processes. •Experience with Databricks is a plus. •Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Preferred Skills: •Experience with cloud-based data platforms. •Familiarity with machine learning techniques and tools. ??????? Key Responsibilities: 1. Requirement Gathering: •Collaborate with stakeholders to understand their data needs and analytical requirements. •Translate business requirements into technical specifications for data analysis and reporting. 2. Data Management: •Extract, transform, and load (ETL) processes using SQL/Python to manage and manipulate large datasets. •Ensure data integrity and accuracy across various data sources. 3. Data Analysis and Reporting: •Utilize Python to perform complex data analysis and generate actionable insights. •Develop and maintain dashboards and reports to monitor key performance indicators (KPIs). 4. Collaboration and Communication: •Work closely with delivery teams to ensure data solutions meet business requirements and project timelines. •Present findings and recommendations to stakeholders in a clear and concise manner. 5. Technical Expertise: •Stay updated with the latest trends and technologies in data analytics and insurance. •Provide technical guidance and mentorship to junior team members as needed. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Title: Data Scientist Location: 100% remote with travel to Richmond VA Office once every few months (travel covered by company). Contract: 6 month contract o full time direct hire Pay: $60.00 - $70.00 / hourly rate - Salary conversions once full time APPLY HERE: Please email resume to Skylar at [email protected] Qualifications: •Knowledge of insurance industry data and metrics. •Proven experience in a data specialist role within the insurance industry. •Strong proficiency in SQL and Python for data analysis and ETL processes. •Experience with Databricks is a plus. •Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. Preferred Skills: •Experience with cloud-based data platforms. •Familiarity with machine learning techniques and tools. ??????? Key Responsibilities: 1. Requirement Gathering: •Collaborate with stakeholders to understand their data needs and analytical requirements. •Translate business requirements into technical specifications for data analysis and reporting. 2. Data Management: •Extract, transform, and load (ETL) processes using SQL/Python to manage and manipulate large datasets. •Ensure data integrity and accuracy across various data sources. 3. Data Analysis and Reporting: •Utilize Python to perform complex data analysis and generate actionable insights. •Develop and maintain dashboards and reports to monitor key performance indicators (KPIs). 4. Collaboration and Communication: •Work closely with delivery teams to ensure data solutions meet business requirements and project timelines. •Present findings and recommendations to stakeholders in a clear and concise manner. 5. Technical Expertise: •Stay updated with the latest trends and technologies in data analytics and insurance. •Provide technical guidance and mentorship to junior team members as needed. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Data Scientist Apex Systems Jobs

Sr Principal Data Scientist
July 24, 2024

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July 24, 2024

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July 20, 2024

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July 19, 2024

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Data Scientist
July 13, 2024

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Data Scientist Apex Systems Jobs

Sr Principal Data ScientistJuly 24, 2024

Data ScientistJuly 24, 2024

Data ScientistJuly 20, 2024

Data ScientistJuly 19, 2024

Data ScientistJuly 18, 2024

Data ScientistJuly 13, 2024