Base-2 Solutions
Job Title
Data Scientist Location
Annapolis Junction, Maryland; On-site; Travel: None; Potential Teleworking: No; Schedule: Full Time Security Clearance
Top Secret/SCI with Full Scope Polygraph US Citizenship Required
Yes Pay Range
$144,654.55 to $192,872.73 Job Description
Base-2 Solutions is seeking 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. Required Skills
Programming Languages:
Proficiency in Python and R for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization.
Statistical Analysis:
A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.
Machine Learning:
Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes.
Data Wrangling:
The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis.
Database Management:
Familiarity with SQL and database management systems (like 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 Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.
Qualifications
Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five (5) years of experience analyzing datasets and developing analytics, plus 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 in a quantitative discipline can be substituted for four (4) years of experience. Capabilities
Produce data visualizations that provide insight into dataset structure and meaning. Work with subject matter 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. Compensation
Above market fixed salary or hourly pay. Up to $10,000 bonus for each referral. Additional bonuses for exceptional performance, assisting with business development and company growth. Health
100% paid premiums for health insurance (options available from CareFirst, Kaiser and UnitedHealthcare). HSA and FSA options. 100% paid premiums for dental insurance. 100% paid premiums for vision insurance. Income Protection
100% paid premiums for short-term disability. 100% paid premiums for long-term disability. 100% paid premiums for accidental death & dismemberment. 100% paid premiums for life insurance ($200,000 max benefit). Retirement
8% company contribution to 401k with immediate vesting. 401k pre-tax and Roth options. Leave
Up to 20 days of flexible paid time off (PTO). 11 days of paid floating holidays. Work-Life Balance
Flexible work schedules including flex time and compressed work period. Remote work including partial or fully remote (contract and project-dependent). Equal Opportunity Employer
Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Seniority Level
Mid-Senior Level Employment Type
Full-time Job Function
Engineering and Information Technology Industries
Defense and Space Manufacturing
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Data Scientist Location
Annapolis Junction, Maryland; On-site; Travel: None; Potential Teleworking: No; Schedule: Full Time Security Clearance
Top Secret/SCI with Full Scope Polygraph US Citizenship Required
Yes Pay Range
$144,654.55 to $192,872.73 Job Description
Base-2 Solutions is seeking 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. Required Skills
Programming Languages:
Proficiency in Python and R for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization.
Statistical Analysis:
A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.
Machine Learning:
Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes.
Data Wrangling:
The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis.
Database Management:
Familiarity with SQL and database management systems (like 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 Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.
Qualifications
Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). Five (5) years of experience analyzing datasets and developing analytics, plus 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 in a quantitative discipline can be substituted for four (4) years of experience. Capabilities
Produce data visualizations that provide insight into dataset structure and meaning. Work with subject matter 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. Compensation
Above market fixed salary or hourly pay. Up to $10,000 bonus for each referral. Additional bonuses for exceptional performance, assisting with business development and company growth. Health
100% paid premiums for health insurance (options available from CareFirst, Kaiser and UnitedHealthcare). HSA and FSA options. 100% paid premiums for dental insurance. 100% paid premiums for vision insurance. Income Protection
100% paid premiums for short-term disability. 100% paid premiums for long-term disability. 100% paid premiums for accidental death & dismemberment. 100% paid premiums for life insurance ($200,000 max benefit). Retirement
8% company contribution to 401k with immediate vesting. 401k pre-tax and Roth options. Leave
Up to 20 days of flexible paid time off (PTO). 11 days of paid floating holidays. Work-Life Balance
Flexible work schedules including flex time and compressed work period. Remote work including partial or fully remote (contract and project-dependent). Equal Opportunity Employer
Base-2 Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Seniority Level
Mid-Senior Level Employment Type
Full-time Job Function
Engineering and Information Technology Industries
Defense and Space Manufacturing
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