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Data Scientist
Data ScientistCynet Systems • Fremont, CA
Data Scientist

Data Scientist

Cynet Systems • Fremont, CA
30+ days ago
Job type
  • Full-time
Job description

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.
Responsibilities:
  • 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.
Requirement/Must Have:
  • 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.
Experience:
  • Relevant professional experience in data science, analytics, or a related technical role.
Skills:
  • 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.
Qualification And Education:
  • Bachelor’s degree in Computer Science or a related technical field.
Should Have:
  • 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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