Data Scientist

DataJobs; Colorado Springs (CO); On-site; USD 120,000 - 150,000; Full time

Job summary

Altamira Technologies Corp. is hiring a Data Scientist for an onsite role at Peterson Air Force Base in Colorado Springs, CO.

You will design and deliver data pipelines and guide ML project planning and execution using cloud-native platforms and advanced ML approaches. You will work with data engineers to build data environments, apply NLP and data mining techniques, and develop predictive and prescriptive models using Spark, Hadoop, and modern BI tools, communicating insights to non-technical

Qualifications

• 3+ years of experience.

Responsibilities

• Design, implement, and maintain a data pipeline.
• Interpret and analyze complex data sets using statistical techniques.
• Plan, execute, and manage ML projects with cloud-native platforms.
• Apply data mining, NLP, and machine learning methodologies.
• Coordinate research across structured and unstructured data.
• Run experiments to generate insights for data challenges.
• Collaborate with Data Engineers to build data environments.
• Develop predictive and prescriptive modeling across NLP, RPA, text mining, clustering, forecasting.
• Design processes to manipulate and analyze data across datasets.
• Use Spark and Hadoop for large-scale processing; build visualizations with Tableau/Power BI/R Shiny.
• Research and implement algorithms in R, Python (NumPy, SciPy, Pandas).
• Perform data engineering and modeling on cloud platforms like Databricks/IBM Cloud Pak/Cloudera/Snowflake.
• Communicate complex concepts to non-technical audiences via digital storytelling.

Skills

3+ years experience

STEM background

Data science methods

ML/AI concepts

NLP

Data mining

Agile Development

Git operations

TS/SCI clearance

Education

Bachelor’s degree in STEM

Master’s degree preferred

Tools

Python

R

Java

C++

Job description

Altamira Technologies Corp. is hiring a Data Scientist for an onsite role based at Peterson Air Force Base in Colorado Springs, Colorado. In this position, you will design and deliver data pipelines and guide machine learning project planning and execution using cloud-native platforms and advanced ML approaches.

What you will do

• Design, implement, and maintain a data pipeline.
• Interpret and analyze complex data sets using exploratory mathematical and statistical techniques grounded in the scientific method.
• Plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions.
• Apply a range of methodologies including data mining, natural language programming, and machine learning.
• Coordinate research and analytics across unstructured and structured data, using programming to clean, massage, and organize it.
• Run experiments against data points, then use experimental results to generate information and previously undiscovered solutions to command data challenges.
• Work with Data Engineers to build data environments that support data identified by other data professionals.
• Develop predictive and prescriptive modeling and use techniques across NLP, Robotic Process Automation (RPA), text mining and processing, clustering, forecasting, and other advanced statistical methods.
• Design and automate processes to manipulate and analyze data, including managing and integrating data across dissimilar datasets.
• Use Spark and Hadoop for large-scale data processing, and build statistical models and data visualizations using Tableau, Microsoft Power BI, and R Shiny.
• Research, design, and implement algorithms to solve complex problems, programming in R, Python (NumPy, SciPy, Pandas), or similar analytical languages.
• Perform data engineering, processing, and modeling using cloud-based data science and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
• Communicate complex concepts and hypotheses to non-technical audiences through digital storytelling.

Requirements

• 3+ years of experience.
• Bachelor’s degree in a STEM field (Master’s degree preferred).
• Skills spanning both data analyst and data engineer responsibilities.
• Advanced background in math and statistics, plus programming and domain knowledge, along with the ability to analyze data, build applied mathematical models, and present results in a useful format.
• Ability to understand and manipulate structured and unstructured large datasets.
• Proficiency in distributed SQL, relational and non-relational queries, general programming languages (including Python and R), and machine learning techniques.
• Demonstrated experience applying data science methods to real-world data problems.
• Proficiency in one or more programming languages such as Java, C++, Python, or R.
• Proficiency in Agile Development and Git operations.
• TS/SCI clearance required.

Technologies you may work with

• Python, R, Java, C++, NumPy, SciPy, Pandas
• Distributed SQL programming, SQL
• Machine learning, data mining, natural language programming, NLP
• Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods
• Spark, Hadoop
• Tableau, Microsoft Power BI, R Shiny
• Databricks, IBM Cloud Pak, Cloudera, Snowflake
• Cloud-native platforms, digital storytelling