Data Scientist (E-Commerce, JavaScript, Python) | Hybrid- Sunnyvale, CA

Vinsys Information Technology Inc; Sunnyvale (CA); On-site; USD 141,000 - 202,000; Full time

Job summary

A leading company in technology seeks a passionate Senior Data Scientist to join their innovative data science team. This role will focus on leveraging machine learning and data mining techniques to develop predictive models using extensive datasets from both online and offline commerce. Candidates should possess a strong background in statistical analysis, proficiency in programming languages like Python, and experience with tools such as BigQuery and GCP. Join a collaborative effort to deliver actionable insights and optimize business success.

Qualifications

• Expertise in machine learning and statistical analysis required.
• Proficiency in Python and experience with large datasets.
• Programming skills in Java or JavaScript on UNIX/Linux platforms.

Responsibilities

• Design and implement predictive models and analytics solutions.
• Communicate insights effectively to product teams.
• Build data visualizations and monitor business metrics.

Skills

Data Analysis

Data Mining

Machine Learning

Statistical Analysis

Education

Master or Ph.D. in a STEM field

Tools

BigQuery

GCP

Python

Job description

Get AI-powered advice on this job and more exclusive features.

• We are looking for a passionate, creative Senior Data Scientist to join Inkiru Data Science team at Client Global Tech.
• You will have the unique opportunity to work with massive business and social data generated by Client Inc.'s unparalleled online and offline commerce.
• You will be responsible to use cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions.
• You will be a part of a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals that sit at the intersection of Data Science, Big data, IT infrastructure, and business operations.
  
  

Description

Position Description

• We are looking for a passionate, creative Senior Data Scientist to join Inkiru Data Science team at Client Global Tech.
• You will have the unique opportunity to work with massive business and social data generated by Client Inc.'s unparalleled online and offline commerce.
• You will be responsible to use cutting-edge machine learning, data mining, and optimization techniques to design and prototype robust, scalable predictive models and analytics solutions.
• You will be a part of a cross-functional team of Data Scientists, Engineers, Product managers, and Business professionals that sit at the intersection of Data Science, Big data, IT infrastructure, and business operations.
  
  

Responsibilities

• Be a strategic partner to product development teams, sharing insights and providing recommendations through effective communication and storytelling with data.
• Design, build and implement predictive models with high-dimensional, fast-moving real-time datasets.
• Use machine learning, deep learning and data mining techniques to develop robust predictive models for anomaly detection such as E-Commerce payment risk, membership abuse risk and identity risk assessment
• Design, analyze, and run both simulated and live experiments (A/B and multivariate tests) to drive KPI improvements.
• Build data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
• Interested in researching about new methods, tools, and techniques to address complex business problems.
  
  

Minimum Qualifications

• Technical expertise in data mining, machine learning, and statistical analysis.
• Proficient in machine learning and data mining packages in Python.
• Programming skills in one of the following languages: Java, or JavaScript on a UNIX or Linux platform.
• Experience working with large data sets and distributed computing tools (BigQuery and GCP experiences preferred).
• Advanced degree (Master or Ph.D.) in any STEM field plus three years of related experience.
  
  

Additional Preferred Qualifications

• Experiences building and deploying deep learning models in production
• Experiences in the fraud detection and abuse detection domain
  
  

Required Skills : Data Analysis,Data Warehouse

Basic Qualification

Additional Skills : Data Scientist

Background Check : No

Drug Screen : No

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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