Clearance: TS/SCI - Polygraph required Position ID: 25-8757 Telework: No Location: Annapolis Junction, MD
Description: 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.
Produce data visualizations that provide insight into dataset structure and meaning
Work 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 (eg. 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
Required Skills
This position requires it-scope poly, within 7 years
Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for ds simplicity and extensive libraries (like ManPy and pandas), while A is preferred for statistical analysis and data visualization
Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data socurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential
Machine Leaming Knowledge of machine learning algorithms and frameworks such as TensorFlow and Scikit-Leam) in vital for building predictive models and automating decision-making processes
Data Wrangling The ability to clean and organize complex datasets in critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming, but necessary for effective analysie
Databese Management: Familiarity with SQL and database management systema (lika PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases
Data Visualization Skills in data visualization tools (such as Tableau and Matplotlibi hely communicate findings effectively Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders
Required Qualifications:Five (5) years of experience analyzing datasets and developing analytics. Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree. A PhD from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience Salary Range: $180k-$220k (Annually)** **The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.
Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.
Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.
We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
