Data Scientist

Clarityinnovates; Colorado; On-site; USD 110,000 - 150,000; Full time

Job summary

Clarityinnovates seeks a Data Scientist to join a close-knit team supporting Special Operations Command North (SOCNORTH) at Peterson SFB, CO. You will leverage data to enable effective analysis and decision making for the command, directly impacting mission readiness and fostering a resilient, data-driven organization.

You will design data pipelines, develop ML projects, and translate findings into actionable insights, using tools such as Spark, Hadoop, and Tableau/Power BI.

Qualifications

• At least 1 year of hands-on data science experience.
• Bachelor’s degree in a STEM field.
• Proficiency in Java, C++, Python, or R.
• Experience with Agile development and Git operations.
• Top Secret clearance with SCI eligibility.
• Ability to work on-site in secure spaces.

Responsibilities

• Design, implement, and maintain robust data pipelines.
• Synthesize analytics and engineering practices to interpret data.
• Develop ML projects and translate findings into actionable insights.
• Coordinate research using structured and unstructured data with programming.
• Apply scientific methods, statistics, and algorithms to real-world problems.
• Explore NLP, RPA, text mining, clustering, and forecasting methods.

Skills

Data science

Programming

Agile development

Git operations

Security clearance

On-site work

Education

Bachelor’s degree in STEM

Master’s degree in OR/IE/Applied Math/Statistics/CS or related fields

Tools

Spark

Hadoop

Tableau

Power BI

R Shiny

Databricks

Snowflake

Cloudera

Job description

Role

This position is for a Data Scientist on a close-knit team supporting Special Operations Command North (SOCNORTH) at Peterson SFB, CO. The role focuses on leveraging data to enable more effective analysis and decision making for the command, directly impacting mission readiness and fostering a resilient, data‑driven organization.

Responsibilities

Data scientists are responsible for designing, implementing, and maintaining robust data pipelines. They synthesize analytical techniques and engineering practices to interpret complex datasets, develop machine‑learning projects, and translate findings into actionable insights for the command.

• Interpret and analyze data using exploratory mathematical 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 uncover 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 modelling, 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, and analyze large‑scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop to conduct large‑scale data processing, perform statistical modelling and create data visualisations using 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 modelling techniques using cloud‑based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypotheses to a non‑technical audience through digital storytelling.

Requirements

• Minimum of 1 year of hands‑on Data Science experience.
• Bachelor’s degree in a STEM field.
• Proficiency with one or more programming languages (Java, C++, Python, R, etc.).
• Proficiency in Agile development and Git operations.
• Top Secret clearance with SCI eligibility.
• Ability to work on‑site in secure spaces.

Preferred Qualifications

• Familiarity with DoD.
• Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.

We are 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 veteran status.