Data Scientist: ML, NLP & Cloud Pipelines

Altamira-Technologies-Corp.; Marine Corps Base Camp Lejeune (NC); On-site; USD 100,000 - 150,000; Full time

Job summary

Altamira Technologies Corp. is seeking a Data Scientist at Camp Lejeune, NC. You will design, implement, and maintain data pipelines, and lead ML projects using cloud-native platforms and advanced techniques. Strong coding in Python/R and distributed SQL is required.

The role blends data analysis, modeling, and data engineering, with work on large-scale datasets and cross-functional collaboration across teams.

Qualifications

• Bachelor’s degree in a STEM field required; master’s preferred in related fields.
• Proficient in programming languages: Java, C++, Python, R.
• Experiences applying data science methods to real-world problems.

Responsibilities

• Interpret and analyze data using exploratory statistics and the scientific method.
• Coordinate research across structured and unstructured data; clean and organize data.
• Experiment with data and provide insights to solve data challenges.
• Collaborate with Data Engineers to build data environments.
• Develop predictive/prescriptive models, NLP, RPA, and ML techniques.
• Use Spark/Hadoop to process data and create visualizations with Tableau/Power BI.

Skills

Python

R

SQL

Java

C++

NumPy

SciPy

Pandas

Spark

Hadoop

Databricks

Snowflake

Tableau

Power BI

R Shiny

Cloudera

Education

Bachelor’s degree in STEM field

Master’s degree preferred in OR related fields

Proficient in multiple programming languages (Java, C++, Python, R)

Agile Development & Git

TS/SCI clearance preferred

Minimum SECRET clearance to start

Tools

Spark

Hadoop

Databricks

Snowflake

Tableau

Power BI

R Shiny

Cloudera

IBM Cloud Pak

Job description

Altamira Technologies Corp. is seeking a Data Scientist at Camp Lejeune, NC. You will design, implement, and maintain data pipelines, and lead ML projects using cloud-native platforms and advanced techniques. Strong coding in Python/R and distributed SQL is required.

The role blends data analysis, modeling, and data engineering, with work on large-scale datasets and cross-functional collaboration across teams.