Senior Data Scientist

Posted on Sep 15, 2024 by OPPO US Research Center
Palo Alto, CA
Research
Immediate Start
Annual Salary
Full-Time
As a technology innovation leadership team in the fast-growing OPPO Research Center, we are looking for talented Data Scientists to join our Research and Development team. In this position, you will play a crucial role in optimizing the user experience of our AI products and addressing significant business challenges in user growth and recommender systems. Improving user experience is a top priority for our company. If you’re passionate about applying your expertise in data science, statistics, and causal inference to improve user experience and growth, and are eager to work in a fast-paced, innovative environment, this role is great for you.

Requirements

Key Responsibilities:

Gathering, analyzing, and interpreting data to deliver data-informed insights and solutions for business problems in a wide range of decision-making situations including AI product design and improvement, user growth, recommender system, and targeted ads.

Working closely with AI product managers and engineers to design and enhance comprehensive solutions for AI product design.

Creating scalable, efficient, and automated workflows for data analysis, feature engineering in machine learning model development, and model monitoring, to address business challenges such as user growth, recommender systems, and ad targeting.

Collaborating with key decision makers to uncover actionable, clear insights into user experiences, revenue changes, and their driving factors.

Qualifications:

Master’s or Ph.D. in a quantitative discipline, such as computer science, machine learning, or math/statistics.

A strong passion for leveraging data science technology to drive data-informed business decisions, combined with deep insights and expertise in user experience and growth.

Expertise in statistical analysis, including A/B testing, causal inference, feature engineering, funnel analysis, etc.

Experience in working with large datasets. Proficiency in SQL, Python, and data visualization tools to create automated data processes and business reports.

Experience in managing enterprise-level databases in distributed systems.

Proven ability to solve complex problems and a strong track record of delivering real-world business problem solution.

Strong communication skills with a proven ability to work effectively in team-oriented environments.

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Reference: 199959899

https://jobs.careeraddict.com/post/95216439

Senior Data Scientist

Posted on Sep 15, 2024 by OPPO US Research Center

Palo Alto, CA
Research
Immediate Start
Annual Salary
Full-Time
As a technology innovation leadership team in the fast-growing OPPO Research Center, we are looking for talented Data Scientists to join our Research and Development team. In this position, you will play a crucial role in optimizing the user experience of our AI products and addressing significant business challenges in user growth and recommender systems. Improving user experience is a top priority for our company. If you’re passionate about applying your expertise in data science, statistics, and causal inference to improve user experience and growth, and are eager to work in a fast-paced, innovative environment, this role is great for you.

Requirements

Key Responsibilities:

Gathering, analyzing, and interpreting data to deliver data-informed insights and solutions for business problems in a wide range of decision-making situations including AI product design and improvement, user growth, recommender system, and targeted ads.

Working closely with AI product managers and engineers to design and enhance comprehensive solutions for AI product design.

Creating scalable, efficient, and automated workflows for data analysis, feature engineering in machine learning model development, and model monitoring, to address business challenges such as user growth, recommender systems, and ad targeting.

Collaborating with key decision makers to uncover actionable, clear insights into user experiences, revenue changes, and their driving factors.

Qualifications:

Master’s or Ph.D. in a quantitative discipline, such as computer science, machine learning, or math/statistics.

A strong passion for leveraging data science technology to drive data-informed business decisions, combined with deep insights and expertise in user experience and growth.

Expertise in statistical analysis, including A/B testing, causal inference, feature engineering, funnel analysis, etc.

Experience in working with large datasets. Proficiency in SQL, Python, and data visualization tools to create automated data processes and business reports.

Experience in managing enterprise-level databases in distributed systems.

Proven ability to solve complex problems and a strong track record of delivering real-world business problem solution.

Strong communication skills with a proven ability to work effectively in team-oriented environments.

Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $100,000-$300,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.

Reference: 199959899

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