Responsibilities
Professionals in data science are responsible for extracting insights and value from large and complex datasets to inform decision-making and drive innovation within organizations. They utilize their expertise in statistics, machine learning, and data analysis techniques to identify trends, patterns, and relationships in data and develop predictive models and actionable insights. Typical responsibilities include collecting and cleaning data from various sources, performing exploratory data analysis to understand data characteristics and relationships, and applying statistical and machine learning algorithms to analyze data and extract insights. Data science roles also involve developing and deploying data-driven solutions and models to solve business problems and optimize processes, and communicating findings and recommendations to stakeholders in a clear and understandable manner. Additionally, professionals may be involved in designing and implementing data pipelines and infrastructure to support data processing and analysis, and collaborating with cross-functional teams, such as software engineers, business analysts, and domain experts, to integrate data science solutions into applications and workflows. Their expertise in areas such as programming languages (e. g. , Python, R), data visualization tools, and domain-specific knowledge enables organizations to harness the power of data to drive strategic decision-making, improve efficiency, and gain competitive advantage.
This position sits at the forefront of artificial intelligence and data analytics. You will be responsible for designing and developing AI and machine learning capabilities for our growing client base. You should have strong programming skills and must have professional experience in one or more of the following areas:
Natural Language Processing
Deep Learning
Neural Networks
You will join a team of experienced engineers, scientists and entrepreneurs bringing practical AI solutions to support innovation with our federal customers. As part of the team, you will work closely with government clients to understand current issues and challenges, conduct rigorous data analysis, design and build solutions, and foster the clear understanding of the results.
Your responsibilities will include:
Designing and developing machine learning models
Running AI and machine learning tests and experiments
Evaluating new techniques and making technical recommendations
Running numerous experiments in a fast-paced and fun environment
Mentoring junior data analytics and machine learning engineers to improve their technical skills
Required Qualifications
Bachelors in Computer Science, Engineering, or related and 3+ years of experience. Or, a Masters degree in Computer Science, Engineering, or related and 1+ years of experience.
Programming experience with TensorFlow, C++, PyTorch, Python and R.
Ability to help visualize the data for analysis and to display results.
Experience with Large Language Models, Vector and Graph databases.
Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels.
Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment.
Desired Qualifications
Experience performing analysis of data through use of mathematical equations, sortation, tools, and optimization techniques.
Experience in quantitative research.
Overview
Noblis (/ noblis. org/) and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Noblis -About Us (/careers. noblis. org/about-noblis/)
Why work at a Noblis company?
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards (/ noblis. org/about/Awards/) . Noblis maintains a drug-free workplace.
Total Rewards
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits (/careers. noblis. org/benefits/) page on our Careers (/careers. noblis. org/) site.
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package.
Posted Salary Range
USD $70,000. 00 - USD $109,375. 00 /Yr.
Equal Employment Opportunity
Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law.
Noblis is committed to the full inclusion of all qualified individuals. As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations. If r.
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