Find Principal Data Scientist Full time Job in Roseland, New Jersey, United States | Snaprecruit

Find Principal Data Full time Job in Roseland, New Jersey, US
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Principal Data Scientist

  • ... Roseland, New Jersey, United States
  • ... Full time
  • ... Salary: 120000 per year
  • Posted on: Feb 05, 2024       Expires on: Mar 21, 2024

Principal Data Scientist   

JOB TITLE:

Principal Data Scientist

JOB TYPE:

Full-time

JOB LOCATION:

Roseland New Jersey United States

JOB DESCRIPTION:

POSITION:

Principal Data Scientist -Full Time position hybrid in Roseland, NJ

WHAT YOU'LL DO:

Here's what you can expect on a typical day:

  • Advanced Analytics & Predictive Modeling.
    You bring prior experience to the role of formulating analytical problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations this will set you up for success on Day 1.
  • Own and Manage Projects.
    You will identify, design, develop, and implement advanced analytical projects.
  • Limitless Possibilities.
    You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights.
    You are passionate about learning and applying new techniques within data science that leads to innovations.
  • Collaboration and Communication.
    You'll be part of a collaborative team, listening to needs, then finding and sharing solutions.
    You're comfortable and skilled at presenting to both peers and leadership on your projects and findings.
  • Experience.
    You have 6+ years of experience in relevant skills gained and developed in the same or similar role.

TO SUCCEED IN THIS ROLE:

  • Minimum 6-8 years experience in quantitative analytics role
  • Proficiency in using SQL to query relational databases such as AWS Redshift
  • Proficiency in data manipulation and machine learning using Python
  • Knowledge of machine learning techniques including and not limited to clustering, decision tree, random forest, regression and their real world applications
  • Experience with using distributed computing tools such as Hadoop, Hive, Spark
  • Experience with Tableau as data visualization and exploratory data analysis tool

Position Details

POSTED:

Feb 05, 2024

EMPLOYMENT:

Full-time

SALARY:

120000 per year

SNAPRECRUIT ID:

S-1707482301-fa9488c883bc9c74dcd145b4a5ebcaf5

LOCATION:

New Jersey United States

CITY:

Roseland

Job Origin:

jpick2

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POSITION:

Principal Data Scientist -Full Time position hybrid in Roseland, NJ

WHAT YOU'LL DO:

Here's what you can expect on a typical day:

  • Advanced Analytics & Predictive Modeling. You bring prior experience to the role of formulating analytical problems, extracting & analyzing data from multiple systems, summarizing critical findings/insights, and developing a compelling visual representation of analyses with actionable recommendations this will set you up for success on Day 1.
  • Own and Manage Projects. You will identify, design, develop, and implement advanced analytical projects.
  • Limitless Possibilities. You will continue learning and discovering new ways to leverage ADP data to create new products and services and find more insights. You are passionate about learning and applying new techniques within data science that leads to innovations.
  • Collaboration and Communication. You'll be part of a collaborative team, listening to needs, then finding and sharing solutions. You're comfortable and skilled at presenting to both peers and leadership on your projects and findings.
  • Experience. You have 6+ years of experience in relevant skills gained and developed in the same or similar role.

TO SUCCEED IN THIS ROLE:

  • Minimum 6-8 years experience in quantitative analytics role
  • Proficiency in using SQL to query relational databases such as AWS Redshift
  • Proficiency in data manipulation and machine learning using Python
  • Knowledge of machine learning techniques including and not limited to clustering, decision tree, random forest, regression and their real world applications
  • Experience with using distributed computing tools such as Hadoop, Hive, Spark
  • Experience with Tableau as data visualization and exploratory data analysis tool

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