Data Scientist
TradeJobsWorkforce95132 San Jose, CA, USFull-time
Data Scientist Job Duties: Formulates and leads guided, multifaceted analytic studies again... Show more
Data ScientistCynet Systems • Fremont, CA
Data Scientist
Cynet Systems • Fremont, CA
30+ days ago
Job type
- Full-time
Job description
Job Description:
Pay Range: $65hr - $70hr
Job Description:
Pay Range: $65hr - $70hr
- The Data Scientist will be responsible for analyzing complex datasets, building statistical and machine learning models, and delivering data-driven insights to support business decision-making.
- This role involves developing scalable data solutions, collaborating with cross-functional teams, and influencing strategic initiatives through advanced analytics.
- Perform exploratory data analysis to identify trends, patterns, and actionable insights.
- Apply statistical techniques to analyze datasets, validate hypotheses, and support business decisions.
- Build, evaluate, deploy, and maintain machine learning models to address business problems.
- Design, execute, and analyze experiments such as A/B testing to measure the impact of product or feature changes.
- Develop robust, scalable, and automated data pipelines for data ingestion, processing, and transformation.
- Ensure data integrity, consistency, and availability for analytics and modeling workflows.
- Monitor the health and performance of existing data solutions, pipelines, and services.
- Design and implement automated monitoring and alerting for data pipelines, model performance, and system reliability.
- Identify, troubleshoot, and resolve data or service anomalies in a timely manner.
- Participate in on-call rotations to support the reliability and availability of data solutions.
- Create clear and effective data visualizations, dashboards, reports, and presentations for stakeholders.
- Collaborate with engineers, product teams, and business stakeholders to translate requirements into data-driven solutions.
- Provide insights and recommendations to guide short-term and long-term business strategy.
- Promote best practices in data science, analytics, experimentation, and model deployment.
- Hands-on experience with data cleaning, preprocessing, exploratory data analysis, and statistical analysis.
- Proficiency in Python for data analysis, including experience with libraries such as pandas, NumPy, and visualization tools.
- Strong experience using SQL for data querying and analysis.
- Experience building, deploying, and maintaining data pipelines and machine learning models in production environments.
- Proficiency with version control systems, including Git and collaborative development workflows.
- Experience designing and analyzing experiments such as A/B testing.
- Relevant professional experience in data science, analytics, or a related technical role.
- Statistical analysis and predictive modeling.
- Machine learning model development and evaluation.
- Data pipeline design and automation.
- Data visualization and dashboard creation using industry-standard tools.
- Strong problem-solving, analytical, and critical thinking abilities.
- Effective communication and collaboration skills for cross-functional environments.
- Bachelor’s degree in Computer Science or a related technical field.
- Experience working in large-scale development or enterprise data environments.
- Experience with service monitoring, anomaly detection, and automated alerting for data and machine learning solutions.
- Strong understanding of machine learning algorithms such as regression, clustering, and decision trees.
- Experience building scalable and automated data pipelines.
- Ability to communicate complex data findings clearly to technical and non-technical stakeholders.
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Data Scientist • Fremont, CA
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