Wyetech, LLC ยท 9 hours ago
Data Scientist 2
Annapolis Junction, Maryland
Full-time
Onsite
Mid, Senior Level
$51.36/hr - $107.53/hr
5+ years expWyetech is an innovative company dedicated to solving real-world problems for federal government customers. They are seeking a Data Scientist 2 to develop and implement machine learning and statistical algorithms to analyze complex datasets and provide data-driven insights, while collaborating with subject matter experts and software engineers.
AnalyticsCloud ComputingCyber SecurityInformation TechnologySoftware
No H1B
Security Clearance RequiredU.S. Citizen Only
Responsibilities
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 (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
Qualification
Required
TS/SCI with agency appropriate poly
Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science)
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
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
Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms
A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions
Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes
The ability to clean and organize complex datasets is critical
Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases
Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively
Benefits
Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.
Full-time employees have the option to participate in a variety of voluntary benefit plans including:
A Choice of Medical Plan Options, some with Health Savings Account (HSA)
Vision and Dental
Life and AD&D Benefits
Short and Long-Term Disability
Hospital Indemnity, Accident, and Critical Illness Insurances
Optional Identity Theft and Legal Protection Services
Employee Referral Bonus Eligibility up to $10,000
Mobility Among Wyetech-supported Contracts
Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party.
Employees receive two complementary branded clothing orders annually.
Company
Wyetech, LLC
Wyetech offers quality engineering services in the fields of Software Engineering, Systems Engineering, Cloud Engineering, Data Analysis, and Cyber Security to federal and commercial customers.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Christine P.
Chief Financial Officer
David Schroeder Jr.
Chief Personnel Officer
Company data provided by crunchbase