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Data Scientist

Location : Miami, FL
Job Type : Direct
Compensation : 125000.00 - 150000.00 USD/YEAR
Hours : Full Time
Travel : No
Relocation : No

Job Description :

IntellaPro makes IT happen. Founded in 2010, we have grown to become a leading provider of temporary, temporary-to-hire, managed staffing, direct-hire, RPO, and on-site recruiting services.Specializing in fulfilling the growing need for IT talent in highly competitive markets, we don’t just put bodies in empty desks, but nurture long-term relationships that support your unique business or career goals. Our deep network of professionals and job openings means we connect you to theperfect match, whether you’re looking for tech pros or tech job opportunities. A strong dedication to transparency means you know what to expect up front and get it delivered. Simply put, IntellaPro transforms the workplace by changing lives, one person and placement at a time.






 


Data Analytics:


- Be able to analyze historical data and experience with:


- ETL tools like SSIS, Informatica, SAS, AlterYX


- Different Data Formats like JSON, TXT, CSV, Excel


- Excellent knowledge of MSSQL


- Big Data Tools and technologies to work with Large Data Sets of Structured and non-structured data like Hadoop, Spark and Hive


               - No SQL DBs like MongoDB, Cassandra and CosmosDB


               - Expert in analyzing and visualizing the data y use of visualization packages such as Python and R


               - Expert in Data analysis and visualization with BI Tools


               - Expert communication and storytelling skills.


Predictive Analytics:


- Proficient in Artificial Intelligence, Data Mining, Machine Learning and Data Modeling


- Proficient with popular predictive analytics tools like SAS and AlterYX


- Proficient with popular Machine Learning packages in R and Python, like Keras, TensorFlow and PyTorch.


 


Preferred project experience:


-         Natural language processing (NLP)


-         Timeseries


-         Structured/semi-structured data


-         Big Data


-         Predictive analytics


-         Data encoding


-         Synthetic data


-         Supervised/unsupervised machine learning


-         Data analysis and statistical analysis vice spectral analysis


-         Data processing/data cleaning


-         Feature engineering


-         Data/algorithm test and evaluation


-         Data pipelines


-         SQL, non-SQL, or graph databases


 


Desired Experience:


-         Shiny-RStudio


-         Big Data tools (Spark SQL, RapidMiner Studio)


-         Other visualization tools (e.g. Python Bokeh, Python Seaborn, JS D3, JS Kibana, Tableau)


-         Azure Architecture


-         Scalable natural language processing (Stanford NLP, etc…)


-         Scalable data search (Elastic Search, Solr)


-         Functional programming


-         Other useful IT-related expertise (e.g. SMACK stack/Mesos/Docker, RESTful, API design,


IT security or network accreditation)


 


Required Qualifications :
ETL

R Language

Python

Big Data

Hadoop

Spark

Hive

NoSQL
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