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Director, Data Science Engineering

Santa Ana, CA, USA | Leading Real Estate Company

  • Industry:
    Real Estate
  • Position Type:
    Full-Time
  • Functions:
    General Management
    IT / Information Technology
  • Experience:
    5-7 years
Job Description:
56 people have viewed this job

The Director, Data Science Engineering will be responsible for identifying business trends and problems through complex data analysis and interpreting results from multiple sources using a variety of techniques ranging from simple data aggregation via statistical analysis to Machine Learning & Deep Learning. This individual should have extensive knowledge in data science, software development and be adept at using large data sets to find opportunities for business and reducing cost through models to test the effectiveness of different courses of action. You will design, develop and implement the most valuable business solutions for the Organization and should have experience running and integrating models in a production environment.


Responsibilities


Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Responsible for standardizing and extending data science practices and building a team

Leverages skills in handling very large datasets to perform exploratory analysis, construct relevant variables, and perform sample design

Builds complex predictive models to substantially improve business operations.

Develops models using Machine Learning & Deep learning

Assesses the effectiveness and accuracy of new data sources and data gathering techniques.

Develops custom data models and algorithms to apply to data sets.

Coordinates with different functional teams to implement models and monitor outcomes.

Acts as technical expert to recommend and develop innovative analytic solutions


Qualifications


Strong problem solving skills

Experience with state-of-the-art techniques in machine learning algorithms, including deep neural networks, NLP, kernel methods, dimensionality reduction in supervised and unsupervised contexts, ensemble methods, and network analysis.

Experience programing with CNTK is a plus

Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

Experience working with and creating data architectures.

Experience in developing and tuning neural networks is a plus

Experience in Text processing is a plus

Experience with Big Data (Hadoop) is a plus.

Excellent written and verbal communication skills for coordinating across teams.

Coding experience with several languages like C, C#, C++, Java Script, Python, R, etc.,

Very good experience of querying databases

Experience in Building & Leading a team is plus.


Typical Education


BS or equivalent in Mathematics, Statistics, or Computer Science

MS or PhD degree preferred


Typical Range of Experience


5-7 years’ experience building predictive and descriptive statistical models

3+ Years of Machine Learning & Deep Learning

5+ Years Software development experience.


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