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Hire The Elite Few™ data scientists for your team

KJO

Principal Data Scientist

RRO

Principal Data Scientist

KYR

Principal Data Scientist

LVA

Sr. Data Scientist

IMA

Principal Data Scientist

ENA

Principal Data Scientist

KJO

Principal Data Scientist

8 years of experience in Information Technology with with specialization in Data Mining, Artificial Intelligence, Predictive Analysis, and Data Visualization. Also proficient in building Machine Learning and Deep Learning algorithms capable of analyzing large datasets.


  • A Dozen Top Skills

  • Python
  • R
  • SAS
  • Hadoop
  • Hive
  • HDFS
  • TensorFlow
  • Keras
  • PySpark
  • Kafka
  • SQL
  • Hadoop


  • Three from the Portfolio

  • Global Technology Company
    R, Tableau, Keras
  • The Walt Disney Company
    Spark, Scala, Kafka
  • Global High Tech Manufacturing Company
    Python, SQL, Hive


  • Wheelhouse Environment

  • Python, R, Spark, Keras, Kafka

  • Latest College Degree

  • Bachelor’s in Electrical Engineering


  • Country of Residence

  • USA with ability to work remotely

 

 

RRO

Principal Data Scientist

10 years of experience in Information Technology and 6 years of experience leading Data Science teams. Expertise delivering successful data-driven products and projects in industries such as banking and retail.


  • A Dozen Top Skills

  • Python
  • R
  • SAS
  • Kubernetes
  • Docker
  • Hadoop
  • SQL
  • Spark
  • Tableau
  • Hive
  • HDFS
  • H2O


  • Three from the Portfolio

  • Neiman Marcus Group
    SAS, Hive, Hadoop
  • American Private Banking Organization
    R, SQL, Tableau
  • American HR Software and Services Provider
    Python, R, Kubernetes


  • Wheelhouse Environment

  • Python, R, Hadoop, SAS, SQL

  • Latest College Degree

  • Master’s in Predictive Analytics


  • Country of Residence

  • USA with ability to work remotely

 

 

KYR

Principal Data Scientist

7 years of experience in Information Technology with specialization in Data Science, Data Engineering, Machine Learning, and Statistical Algorithms.


  • A Dozen Top Skills

  • R
  • Python
  • Spark
  • Kafka
  • TensorFlow
  • Nifi
  • NodeJS
  • SQL
  • MongoDB
  • Oracle
  • JavaScript
  • Kubernetes


  • Three from the Portfolio

  • Global Information Services Company
    Spark, Kafka, TensorFlow
  • Global Information Services Company
    Nifi, NodeJS, Spark
  • Rolls-Royce
    Python, R, SQL


  • Wheelhouse Environment

  • R, Python, Kafka, Spark, TensorFlow, Keras

  • Latest College Degree

  • Bachelor’s in Engineering


  • Country of Residence

  • USA with ability to work remotely

 

 

LVA

Sr. Data Scientist

12 years of experience in Information Technology, with 8 years of experience in Data Science, Business Analysis, and Product Management using Agile methodologies.


  • A Dozen Top Skills

  • Python
  • Spark
  • R
  • SQL
  • Hive
  • MapReduce
  • Pig
  • PySpark
  • Tableau
  • Oracle
  • MongoDB
  • Agile


  • Three from the Portfolio

  • Multinational Enterprise Software and Services Company
    R, PyCharm, Tableau
  • Multinational Professional Services Company
    Python, SPSS, Hive
  • ADP
    Spark, SQL, Oracle


  • Wheelhouse Environment

  • Python, R, SQL, Spark

  • Latest College Degree

  • Master’s in Computer Science


  • Country of Residence

  • USA with ability to work remotely

 

 

IMA

Principal Data Scientist

13 years of experience in Information Technology with expertise in Data Science, Big Data, Machine Learning, and Data Visualization. 6 years of data design leadership experience.


  • A Dozen Top Skills

  • Python
  • C++
  • Java
  • R
  • Scala
  • MongoDB
  • SQL
  • Keras
  • Hadoop
  • Hive
  • JavaScript
  • Kafka


  • Three from the Portfolio

  • American High Tech Company
    Tableau, Java, C++
  • Aeris Communications
    Python, MongoDB, Javascript
  • American Digital Publications Company
    Hadoop, Kafka, AWS


  • Wheelhouse Environment

  • Python, Java, Hadoop, Kafka, R

  • Latest College Degree

  • Doctor of Philosophy


  • Country of Residence

  • USA with ability to work remotely

 

 

ENA

Principal Data Scientist

Over 10 years of experience in analytics and data science, with expertise across the SDLC.  Experience in data engineering, data modeling, and machine learning models.


  • A Dozen Top Skills

  • Python
  • R
  • Keras
  • TensorFlow
  • PyTorch
  • Pandas
  • SQL
  • Java
  • Scala
  • Spotfire
  • Tableau
  • PowerBI


  • Three from the Portfolio

  • Global Manufacturing Company
    R, Hive, Hadoop
  • Global Retailer
    JavaScript, PowerBI, Tableau
  • Eli Lilly
    TensorFlow, Keras, Python, C++


  • Wheelhouse Environment

  • TensorFlow, Keras, R, Hadoop, Hive

  • Latest College Degree

  • Master’s in Analytics


  • Country of Residence

  • USA with ability to work remotely

 

 

Tip: click on any rectangle to view a Principal Points Profile™, then use the arrows at the top of the profile to navigate to the others.

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Data Science

How can your organization take the next step and become more efficient with your business practices and data analyzation? Data science will make you smarter than ever before, granting insight and clarity in fields previously unconsidered.

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When standard analytical tools become the norm, how then can a company find itself ahead of the rest of the pack?  Constant innovation is always the key, and a willingness to build new systems and take risks will always drive greater successes.

As many companies have already learned, data science is that next step. Building a skilled team of workers who can operate on all levels of the data science timeline is becoming crucial for those who wish to remain atop the economic food chain.

Effective data scientists must be educated in multiple fields and languages, among them data acquisition and data entry, data mining and data modeling, predictive and qualitative analysis, and finally effective data reporting and visualization, which then leads to the business insights that we all seek. Keeping those business goals in mind throughout the analytical process is crucial, as losing track of them will leave you with nothing but spreadsheets and regressions. However, a well-structured data science plan alongside proper execution will yield fantastic results.

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