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Data Scientist
Data ScientistCynet Systems • San Ramon, CA
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Data Scientist

Data Scientist

Cynet Systems • San Ramon, CA
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  • [job_card.full_time]
[job_card.job_description]

Job Description :

Pay Range : $137hr - $142hr

  • The Data Scientist leads the development and implementation of complex data science models to drive business insights and operational impact.
  • This role translates business needs into well-defined data science problems, selects appropriate models and algorithms, and communicates results and implications to stakeholders.
  • The Data Scientist partners closely with business leaders, mentors junior team members, and applies advanced analytics, machine learning, and statistical techniques to support strategic decision-making.

Requirement / Must Have :

  • Ability to lead development of high-complexity data science models and training datasets.
  • Hands-on experience executing and implementing data science and machine learning models.
  • Strong ability to translate business problems into analytical and modeling solutions.
  • Capability to prioritize work for maximum business and operational impact.
  • Ability to balance analytics value, model design, and technology choices with a bias toward action.
  • Strong collaboration skills and ability to mentor junior data scientists.
  • Ability to assess business implications of modeling assumptions, methodologies, and results.

    • Experience :

  • Job-related experience of eight years, or six years with a Master’s degree, or three years with a Doctorate degree.
  • Minimum of five years of experience in data modeling.
  • Experience collaborating across multiple lines of business and with senior leadership.
  • Experience managing or overseeing complex analytics projects and programs.

    • Responsibilities :

  • Lead development and maintenance of advanced quantitative models and analytical tools.
  • Translate business analysis needs into clearly defined data science problems and solutions.
  • Select appropriate algorithms, evaluate models, and communicate outcomes to stakeholders.
  • Develop and revise models to predict business demand trends, forecasts, capacity analysis, and other key metrics.
  • Perform advanced analysis on complex datasets and deliver customized reports and recommendations.
  • Create and maintain process models, documentation, and business artifacts supporting technical architecture.
  • Collaborate with leaders and partners on cross-functional initiatives and analytics projects.
  • Develop deep understanding of business drivers and financial levers to support strategic decisions.
  • Maintain detailed project schedules and work plans for analytics initiatives.

    • Skills :

  • Machine learning and algorithm development.
  • Strong foundation in mathematics and statistics, including probability, linear algebra, calculus, and statistical inference.
  • Programming proficiency in Python, R, and SQL.
  • Experience with model evaluation, optimization, and feature engineering.
  • Strong presentation and communication skills for executive-level audiences.
  • Ability to present insights through visualizations, dashboards, and presentations.
  • Understanding of domain-specific data and analytics applications preferred.

    • Qualification And Education :

  • Bachelor’s degree in Econometrics, Economics, Engineering, Mathematics, Applied Sciences, Statistics, or a related field, or equivalent experience.
  • Advanced degree preferred in engineering, computer science, mathematics, or a related discipline.
  • Experience with data science tools and technologies such as Pandas, machine learning frameworks, big data platforms, and cloud computing environments preferred.
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