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Data Scientist High Tech Jobs

2,794 found
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Teva

Data Scientist

Data Scientist

United States, New Jersey

Yesterday
PP
PayPal

Data Scientist

Data Scientist

United States, Texas, Austin

06.12.2021
M
Microsoft

Data Scientist

Data Scientist

United States, Washington, Redmond

06.12.2021
NIC
NICE

Data Scientist

Data Scientist

Bolivia, Cochabamba

06.12.2021
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Amazon

Data Scientist

Data Scientist

United States, Oregon, Portland

05.12.2021
O
Oracle

Data Scientist

Data Scientist

Canada

04.12.2021
A
Allot

Data Scientist

Data Scientist

Israel, Hod Hasharon

02.12.2021
888
888 Holdings

Data Scientist

Data Scientist

Israel

02.12.2021
W
Walmart

Data Scientist

Data Scientist

United States, Arkansas

01.12.2021
NI
NaturalInt

Data Scientist

Data Scientist

Israel, Tel Aviv

Yesterday
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Teva

Data Scientist

United States, New Jersey
Details
Job Description

As the Data Scientist you will be directly supporting the Teva North America Data Science & Analytics unit. You will be responsible for creating product, customer and operational value from data; for providing measurable performance and quality insights by modeling complex problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques.

You will leverage prospective analytics and use data mining, data analysis, automation, and machine learning methods, to measure performance and quality of insights.

In this role you will be responsible for developing advanced statistical models and algorithms that provide data-driven insights to support business results.

Responsibilities:

  • Work with the unit Leader and Data Analysts to drive solutions that enable data-driven decision making.
  • Drive business value through data science and advanced analytics
  • Use exploratory data analysis to build expertise in the strengths and limitations of complex data sets to assist in identifying the right analytical approach given the available data
  • Design and manage complex analytical projects, including developing and implementing approaches that breakdown complex business problems into multiple independent & sequential phases of analysis
  • Derive insights from data and present results to internal clients and senior management
  • Engineer and prepare data from disparate systems
  • Integrate and prepare large, varied datasets, design appropriate data science models and algorithms, and professionally communicate results
Qualifications

What you will bring to the role:

  • Master’s Degree with minimum 2 years of experience with in a highly technical/quantitative discipline (Statistics, Computer Science, Data Science, Mathematics)
  • Minimum 4 years of experience of data mining algorithms including machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
  • Minimum 2 years of experience in generating advanced insights and predictive capability from statistical models, including (but not limited to) multivariate linear regression, cluster algorithms, decision trees, logistic regression, Principal Component Analysis (PCA), time series, survival analysis, machine learning (supervised and unsupervised), Bayesian Methods, Neural Networks, etc.
  • Minimum 2 years of experience in performing data analysis and modeling using Python (numpy, pandas, etc)

Preferred Qualifications:

  • PhD degree in Statistics or Biostatistics, with 2+ years of experience in life sciences
  • Experience with cloud services: AWS, Azure
  • Proficiency in bringing structure to ambiguous problems and deriving insights from multiple data and information sources
  • Strong presentation and communication skills
  • Strong inter-personal skills and team player
  • Strong project management skills
  • Experience with large scale database applications (Oracle, SAP HANA)
  • Experience in automating analysis and authoring pipelines based on ETL framework
Information Technology
Reports To

Senior Director, Data Science & Analytics

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