Data Scientist
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Job Location:
Fremont, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
11 hours ago
Vacancies:
1 Vacancy
Job Summary
Role: Data Scientist
Location: Fremont CA
Responsibilities
- Data Analysis & Statistical Modeling
- Perform exploratory data analysis (EDA) to uncover trends patterns and insights.
- Apply statistical methods to analyze data validate hypotheses and support business decisions.
- Build evaluate and deploy machine learning models to solve business problems.
- Design and analyze experiments (e.g. A/B tests) to measure the impact of changes and new features.
- Build and Maintain Data Solutions
- Develop robust scalable and automated data pipelines for data ingestion processing and transformation.
- Ensure data integrity consistency and availability for downstream analytics and modeling.
- Oversee the health and performance of existing data solutions and services.
- Design and implement automated monitoring and alerting for data pipelines model performance and service reliability.
- Ensure rapid detection and resolution of data or service anomalies.
- Participate in on-call rotations to ensure the reliability and availability of data solutions and services.
- Data Visualizations and Reports
- Create clear compelling visualizations and dashboards to communicate findings to stakeholders.
- Prepare reports and presentations to summarize analysis model results and recommendations.
- Collaborate with Cross-Functional Teams
- Work closely with stakeholders engineers and product teams to identify business challenges and opportunities.
- Translate business requirements into technical solutions using data science and machine learning.
- Influence Strategy
- Provide data-driven insights and recommendations to inform short- and long-term business strategy.
- Advocate for best practices in data science analytics and model deployment.
Minimum Qualifications
- Bachelors degree in Computer Science or a related technical field.
- Experience in data cleaning preprocessing exploratory data analysis (EDA) and statistical analysis.
- Proficiency in Python for data analysis including experience with libraries such as pandas NumPy and matplotlib/seaborn.
- Strong experience with SQL and data visualization tools (e.g. Tableau Power BI etc.).
- Hands-on experience building deploying and maintaining data pipelines and machine learning models in production environments.
- Proficient with version control systems such as Git including branching committing and pull requests.
- Experience designing and analyzing experiments (e.g. A/B testing) to measure impact and validate hypotheses.
Preferred Qualifications
- Previous experience working in the Meta development environment.
- Experience with service monitoring anomaly detection and automated alerting for data and ML solutions.
- Strong understanding of predictive analytics statistical modeling and machine learning algorithms (e.g. linear regression clustering decision trees etc.).
- Experience with building and automating scalable data pipelines for data ingestion processing and transformation.
- Ability to create compelling data visualizations and dashboards to communicate findings to stakeholders.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
