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SageCor Solutions · 3 weeks ago

Data Scientist Skill Level 2 (FST - 070)

Annapolis Junction, MD

Full-time

Onsite

Mid Level

SageCor Solutions is a growing company providing engineering services and full lifecycle System Engineering expertise in high performance computing and large data analytics. They are seeking a Data Scientist skilled in programming, statistical analysis, machine learning, and data wrangling to support their analytics initiatives.

HardwareInformation TechnologySoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Programming Languages: Proficiency in programming languages such as Python and R is crucial 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

Qualification

PythonRMachine LearningStatistical AnalysisData WranglingDatabase ManagementData Visualization

Required

Active TS/SCI W/ Polygraph Required

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