Data Scientist at Systems Innovation Engineering

Saint Paul, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Jun, 26

Salary

127100.0

Posted On

04 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Software Applications, Advanced Analytics, Exploratory Data Analysis, Statistics, Machine Learning, Data Modeling, Predictive Models, Algorithms, Big Data, Python, Pandas, NumPy, Scikit-learn, SQL, Tableau

Industry

Defense & Space

Description

The Data Scientist is responsible for designing, developing, testing, and maintaining software applications to provide advanced analytics for software and edge solutions team. This role focuses on developing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling. They use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms to mine the stores of big data. They generate and test hypotheses and analyze and interpret the results of product experiments. Create data visualizations, dashboards, and reports to communicate findings. This role will involve applying AI/ML techniques to read and process technical data to include CAD models for ingestion into enterprise systems. This role will require collaboration with other data scientists and software engineers to implement algorithms and provide insights to end users. The ideal candidate has at least 2 years of experience in data science, with a demonstrated ability to collaborate with cross-functional teams. Duties and Responsibilities Lead the design, development, and implementation of statistical techniques and algorithms. Write clean, maintainable, and efficient code, and ensure best practices in coding standards. Research and identify areas for applications of AI/ML in support of the program. Work with the development team and government teams to align AI/ML efforts. Prepare and maintain comprehensive technical documentation related to algorithm development. Ensure accuracy and completeness of all documentation. Foster effective collaboration with cross-functional teams to achieve project objectives. Communicate complex technical information clearly and effectively. Utilize advanced software development tools and methodologies to support project requirements. Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy. Required Qualifications Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field. At least 2 years of experience in data science or related discipline. Experience analyzing system performance data and time series data. Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.). Strong background in statistical analysis, forecasting techniques, and anomaly detection Experience with SQL and relational databases. Knowledge of data visualization tools for creating operational dashboards (Tableau, Power BI, Grafana, or similar). Understanding of machine learning fundamentals with a willingness to expand AI/ML implementation skills. Excellent problem-solving and analytical skills. Superior written and verbal communication skills. Desired Qualifications Experience working with CAD models and other technical data sets Experience researching, developing, and implementing machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems Familiarity with stream processing of real-time data Knowledge of cloud platforms (AWS, Azure, or GCP) and their monitoring services Experience with ML frameworks (TensorFlow, PyTorch, or similar) Familiarity with version control systems (Git) Experience with containerization and orchestration tools (Docker, Kubernetes) Exposure to data streaming applications (Confluent, Kafka, RabbitMQ, or similar) In-depth understanding of the aerospace and defense industry. WORK ENVIRONMENT Hybrid work environment. In-person collaboration is required to support engagement with the software engineering team. In addition to in-office days, employees have the flexibility to telework (with supervisor approval) on designated days or as needed, provided they adhere to established communication protocols and fulfill their work responsibilities effectively. Additionally, travel may be required to customer and subcontractor sites as well as other office locations. Clearance Requirements Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment. To learn more about the security clearance process please access this link. EEOC & Know Your Rights Accelint companies are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran or any other status protected by applicable federal, state, and local law. We ensure that all employment decisions, including hiring, promotion, compensation, and other terms and conditions of employment, are based on merit, qualifications, and business needs. For more information about your rights, please review the "Know Your Rights" poster from the Equal Employment Opportunity Commission (EEOC). Know your Rights: English Spanish Pay Scales & Benefits The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors. Benefits include… Paid Time Off Paid Company Holidays Medical, Dental & Vision Insurance Optional HSA and FSA Base and Voluntary Life Insurance Short Term & Long-Term Disability Insurance 401k Matching Employee Assistance Program

Responsibilities

The Data Scientist will design, develop, test, and maintain software applications providing advanced analytics, focusing on developing innovative solutions using exploratory data analysis from complex datasets. This role involves applying AI/ML techniques to process technical data, including CAD models, and collaborating with engineers to implement algorithms and provide insights.