12 Month Contract – To – Hire
St. Petersburg, Florida (Remote to start)
In this role, you will support the organization with insights gained from analyzing company data. You must be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations is imperative. You will use your proven ability to drive business results with data-based insights and be comfortable working with a wide range of stakeholders and functional teams. You will leverage your passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
-Advanced SQL skills and is comfortable operating with relational data models and structure.
-Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment.Is capable of accessing data via a variety of API/RESTful services.
-Advanced programming skills in either R, Python, or similar analytical language.
-Intermediate knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows.
-Experience with state of the art techniques such as AI and Deep Learning.
-Advanced knowledge of Apache Spark.
-Intermediate knowledge of cloud environments such as AWS and Azure.
-Intermediate understanding of software development and collaboration, including experience with tools such as Git.
-Exceptional written and verbal communication skills, comfortable presenting in front of large audiences.
-A basic understanding of Agile methodologies and continuous delivery.
-Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data.
-An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment.
-Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies.
-A proven track record of leading successful projects and driving measurable, viable results using Data Science techniques.
EDUCATION and/or EXPERIENCE
Bachelors Degree, Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science or otherwise research-based field;
3-5 years of related experience and/or training; or equivalent combination of education and experience.
Experience: 2 – 4 years
Nice to Have:
- Knowledge of cloud environments such as AWS, Azure or Google Cloud
- Knowledge of Apache Spark
- Understanding of SDLC collaboration, including experience with tools such as GIT
- Understanding of Agile methodologies and continuous delivery
Brooksource provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.