Data Scientist

FOTOMILL STUDIOS LIMITED; Colorado Springs (CO); On-site; USD 110,000 - 140,000; Full time

Job summary

Altamira Technologies in Colorado Springs seeks a Data Scientist to design, implement, and maintain data pipelines and ML projects across cloud platforms. You will interpret complex data, perform statistical analysis, and communicate insights to non-technical stakeholders.

Ideal candidates have 3–5 years in data science, strong programming skills in Python/R, and experience with Spark, Hadoop, and SQL. TS/SCI clearance is required for this role.

Qualifications

• Bachelor's degree in a STEM field is required.
• 3-5 years data science experience required.
• Proficient in programming languages (Python, R, Java, C++).
• TS/SCI clearance required.

Responsibilities

• Design, implement, and maintain data pipelines.
• Interpret and analyze complex datasets and present results.
• Lead ML projects using cloud-native platforms and advanced ML techniques.
• Collaborate with Data Engineers to build data environments.
• Develop predictive and prescriptive models, NLP, and data visualizations.

Skills

Data analysis

Programming

Machine learning

Statistical modeling

Distributed computing

Data visualization

Cloud platforms

NLP

Education

Bachelor's degree in STEM

Master's degree preferred

Tools

Spark

Hadoop

Tableau

Power BI

Python

R

SQL

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: Data Scientist
Position Location: Peterson Air Force Base (Colorado Springs, Colorado)
Position Description:
A data scientist will have skills 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 mathematic and 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.
• 3-5 years data science experience required
• 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 required