Job Details

Lead Data Scientist

San Diego, CA | Full time

Job ID:

00012-02LDS

Duration:

Long Term

Experience:

2-3 years

Career Level:

Associate

Compensation:

DOE

Industry:

Information Technology and Services

Job Description

Responsibilities

  • Research, customization, and development of statistical and machine learning algorithms to meet distinctive and complex project requirements that have broad business impacts; tasks include defining hypotheses, undertaking important tests and experiments, evaluating, adjusting and enhancing algorithms and methods to particular scenarios.
  • Analysis of big data for data-driven solution, validation, evaluation and technology innovative remedies.
  • Optimize data to analyze processes and systems for better efficiency and tracking.
  • Coordinate with various functional groups to implement models and monitor results.
  • Leading project teams to achieve targets and objectives.
  • forseeing challenges and issues and suggesting process, product, and service improvements.
  • Work with stakeholders throughout the firm to point out opportunities for leveraging company data to drive business solutions.
  • cooperate with management, stakeholders, and teams to define technological roadmaps.
  • Mentoring and training subordinate team members and serving as a practical role-model for statistics, artificial intelligence, and machine learning.
  • composing documents that clearly proves to be a guidance on how algorithms should be implemented, verified, and validated.
  • Composing Articles for use in the preparation of intellectual property and technical publications.
  • Monitoring the literature (for Article purposes) of interest and industrial development trends broadly in the areas of data analysis and machine learning.

Qualifications And Experience

  • Expert in statistical analysis methods, including analysis of variance, regression, time series analysis, survival analysis, etc.
  • Thorough knowledge in artificial intelligence and basic machine learning theoretical know-how and data mining technologies.
  • Broad knowledge of data engineering or informatics systems.
  • Leadership and hands-on experience with the development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models.
  • hands-on experience in R- programming and Languages like Python.
  • Hands on experience of using Hadoop, Spark, Hive, Pig or Storm, etc.
  • Strong database skills and experience, including experience with SQL programming.
  • Knowledge in big data technologies, cloud computing/distributed computing, data fusion, and data visualization.
  • Satisfactory technical report writing and presentation skills.
  • Optimization of algorithm complexity vs. accuracy vs. implementation cost.
  • Implementing robust software for use in research programs with a minimum of review and other formal processes.
  • A degree in Computer Science, Engineering, Statistics, Applied Mathematics, or related fields. Minimal 8 years' industry or academic experience in data science.