Senior Data Scientist

Altamira Technologies Corporation; Marine Corps Base Camp Lejeune (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Job summary

Altamira Technologies Corporation is seeking a Senior Data Scientist for Camp Lejeune, NC. The role combines data analysis and engineering, focusing on designing and maintaining data pipelines and managing ML projects across cloud-native platforms.

The ideal candidate will apply techniques in NLP, forecasting, and statistical modeling while collaborating with Data Engineers to create scalable data environments and deliver actionable insights to the organization.

Qualifications

• Combination of data analysis and data engineering skills.
• Experience designing, implementing, and maintaining data pipelines.
• Ability to plan, execute, and manage ML projects with cloud platforms.

Responsibilities

• Interpret and analyze complex data sets using statistical methods.
• Collaborate with Data Engineers to build data environments and pipelines.
• Develop predictive and prescriptive models, NLP, and ML solutions.
• Communicate results to non-technical audiences with clear storytelling.

Skills

Python

R

Java

C++

SQL

Data visualization

ML concepts

Cloud platforms

Education

Bachelor's degree in STEM

Master's degree preferred

Tools

Spark

Hadoop

Tableau

Power BI

R Shiny

Databricks

Snowflake

Job description

Altamira Technologies has a long and successful history providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data and security. Altamira believes that our people and the culture of our company differentiate us from other companies.

Position:

Senior Data Scientist

Position Location:

Camp Lejeune, North Carolina

Position Description

A data scientist will have skill sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.

Data scientists must have a combination of skills that include programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R) and machine learning techniques.

Experience

• Interpret and analyze data using exploratory mathematicand statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data
• Experiment against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Coordinate with Data Engineers to build Data environments providing data identified by other data professionals
• Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
• Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
• Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.

Education

• Bachelor’s degree in a STEM field is required. Master’s degree is preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• 6 years data science experience
• Proficient with one or more programming languages (Java, C++, Python, R, etc.).
• Proficient in Agile Development and Git Operations.
• Demonstrated experience applying data science methods to real-world data problems.
• TS/SCI clearance is preferred
• Minimum SECRET Clearance to start with the willingness and ability to obtain TS/SCI.