Data Scientist

Altamira Technologies Corp.•Tampa, FL

3d•$130,000

About The Position

Altamira Technologies is seeking a Data Scientist in Tampa, Florida. The role combines data analysis and data engineering responsibilities, including designing, implementing, and maintaining data pipelines. The Data Scientist interprets and analyzes complex data, plans and manages machine learning projects, and applies cloud-native platforms and advanced machine learning solutions to challenging problems. The position requires combining programming, mathematical modeling, statistics, domain knowledge, and communication skills to analyze data, develop applied mathematical models, and present useful results. The Data Scientist works with structured and unstructured large datasets, using distributed SQL programming, relational and non-relational data queries, programming languages such as Python and R, and machine learning techniques. A TS/SCI clearance is required.

Requirements

Bachelor’s degree in a STEM field.
Proficiency in one or more programming languages, such as Java, C++, Python, or R.
Proficiency in Agile development and Git operations.
Demonstrated experience applying data science methods to real-world data problems.
TS/SCI clearance required.
Ability to work with structured and unstructured large datasets, including distributed SQL programming and relational and non-relational data queries.

Nice To Haves

Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or a related field.
A bachelor’s degree in the listed fields is acceptable when accompanied by training and verifiable work experience in a related field.

Responsibilities

Interpret and analyze data using exploratory mathematical and statistical techniques grounded in the scientific method.
Coordinate research and analytical activities using structured and unstructured data; programmatically clean, transform, and organize data.
Experiment with data, interpret results, and identify previously undiscovered solutions to command data challenges.
Coordinate with Data Engineers to build data environments containing data identified by other data professionals.
Apply and develop scientific methodologies, statistics, and algorithms to identify and frame relevant problems, hypotheses, and opportunities.
Develop predictive and prescriptive models, natural language processing, robotic process automation, text mining and processing, clustering, forecasting, and other advanced statistical techniques.
Design and automate processes for manipulating and analyzing data; manage and integrate dissimilar datasets; and analyze large-scale structured and unstructured data.
Use frameworks such as Spark and Hadoop for large-scale data processing.
Perform statistical modeling and create visualizations using tools such as Tableau, Microsoft Power BI, and R Shiny.
Research, design, and implement algorithms to solve complex problems.
Program in R, Python (including NumPy, SciPy, and Pandas), or similar analytical languages.
Perform data engineering, processing, and modeling 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 non-technical audiences through digital storytelling.