Data Scientist

Altamira Technologies Corporation; Tampa (FL); On-site; USD 90,000 - 130,000; Full time

Job summary

Altamira Technologies Corporation in Tampa, Florida is seeking a Data Scientist who blends data analysis and engineering to design, implement, and maintain data pipelines. You will plan and manage ML projects on cloud-native platforms and apply advanced techniques across structured and unstructured data.

The role requires programming, math, statistics, and domain knowledge, with experience in distributed SQL, Spark/Hadoop, and data visualization tools.

Qualifications

• Bachelor’s degree in STEM is required.
• Master’s degree preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.
• Proficient with programming languages such as Java, C++, Python, R; Agile Development and Git operations.
• TS/SCI clearance required.

Responsibilities

• 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 and provide solutions to data challenges.
• Coordinate with Data Engineers to build data environments.
• Apply statistics and algorithms to discover problems, hypotheses, and opportunities.
• Develop predictive and prescriptive modeling, NLP, and ML techniques.
• Design and automate data manipulation processes and analyze large-scale datasets.
• Use Spark and Hadoop for large-scale data processing; create visualizations with Tableau, Power BI, and R Shiny.
• Program in R, Python (NumPy, SciPy, Pandas) or similar; work with cloud ML platforms (Databricks, IBM Cloud Pak, Cloudera, Snowflake).
• Communicate complex concepts to non-technical audiences via digital storytelling.

Skills

Python

R

SQL

Java

C++

Statistical modeling

Education

Bachelor’s degree in a STEM field

Master’s degree preferred in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields

TS/SCI clearance required

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:

Data Scientist

Position Location:

Tampa, Florida

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.
• Bachelor’s degree is acceptable in the above fields if the incumbent has training and verifiable work experience in a related field.
• 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