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 SolutionsDevelop 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 ReportsCreate 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 TeamsWork 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 StrategyProvide 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.Excellent communication and collaboration skills with experience working in cross-functional teams.
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Experience : years
Vacancy : 1