Data Scientist

Baynovation, LLC

San Jose (CA)

On-site

USD 120,000 - 170,000

Full time

14 days+

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Job summary

Baynovation is hiring a Data Scientist to join our team in San Jose, CA. You will build and deploy machine learning models using both analytical algorithms and deep learning approaches, delivering analytic insights that affect hundreds of thousands of customers.

The role requires 2 years in data science/ML, a quantitative degree, and strong Python/R plus SQL skills. You will work on data models, experimentation, and predictive modeling to advance analytic capabilities for the organization.

Qualifications

  • 2 years of experience in data science, statistics, or machine learning.
  • Degree in a quantitative discipline such as Engineering, CS, Economics, Statistics or Mathematics.
  • Basic understanding of experimental design (A/B experiments) and statistical methods.
  • Experience with forecasting, time series, hypothesis testing, classification, clustering or regression analysis.
  • Proficient in Python or R; ability to write SQL queries to extract and analyze data.
  • Data Scientist is a core position involved in executing data analysis and modeling tasks.
  • Overarching mandate to execute analytic delivery and develop new analytics capabilities.
  • Works on data model maintenance, development, optimization, data file preparation, reporting and ad-hoc analyses.
  • Perform predictive modeling and convert analytic findings into customer insights.

Responsibilities

  • Execute data analysis and modeling tasks.
  • Develop and deploy machine learning models.
  • Maintain and optimize data models and data pipelines.
  • Prepare data files for reporting and ad-hoc analyses.
  • Translate analytic results into actionable customer insights.

Skills

Python
SQL
Statistics
Time series
Forecasting
ML
A/B testing
Hypothesis testing
Data profiling
Data analysis

Education

Quantitative degree

Tools

Pandas
scikit-learn
SQL

Job description

Baynovation is hiring a Data Scientist to join our team in San Jose, CA.

Come join our collaborative and creative group of data scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches. We are waiting for you to join us and do the best work of your life.

  • 2 years of experience in roles related to data science, statistics, or machine learning.
  • Data driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics.
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods.
  • Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
  • Good programming skills and knowledge of data science tools and libraries in Python or R, ability to write SQL queries to extract and analyze data.
  • 2 years of experience in roles related to data science, statistics, or machine learning.
  • Data driven mindset with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics.
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods.
  • Experience with statistics methods such as forecasting, time series, hypothesis testing, classification, clustering or regression analysis
  • Good programming skills and knowledge of data science tools and libraries in Python or R, ability to write SQL queries to extract and analyze data.
  • Data Scientist is core position involved in executing data analysis and modeling tasks
  • The overarching mandate for the Data Scientist is to execute on analytic delivery and to develop new analytic capabilities for the organization
  • Works on data model maintenance, development, & optimization, data file preparation, reporting & ad-hoc analyses
  • Perform predictive modeling & convert analytic findings into customer insights
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