Senior Data Analyst and Machine Learning Engineer
3 days ago
**Job Overview**
Bidgely is seeking an experienced Senior Data Scientist to join our team. The ideal candidate will have a strong background in data mining, machine learning, and statistical analysis.
**Job Description**
We are looking for a skilled professional to develop advanced statistical and machine learning models for large-scale, high-dimensional data. The successful candidate will have experience in productizing proven models into production-quality code and collaborating with cross-functional teams to elicit and understand requirements and challenges.
**Key Responsibilities**
- Research and develop advanced statistical and machine learning models for analysis of large-scale, high-dimensional data
- Dig deeper into data, understand characteristics of data, evaluate alternate models, and validate hypothesis through theoretical and empirical approaches
- Productize proven or working models into production-quality code
- Collaborate with product management, marketing, and engineering teams in Business Units to elicit & understand their requirements & challenges and develop potential solutions
- Stay current with latest research and technology ideas; share knowledge by clearly articulating results and ideas to key decision makers
**Requirements**
The ideal candidate will have:
- 4-6 years of strong experience in data mining, machine learning, and statistical analysis
- BS/MS/PhD in Computer Science, Statistics, Applied Math, or related areas from Premier institutes (only IITs / IISc / BITS / Top NITs or top US university)
- Experience in productizing models to code in a fast-paced start-up environment
- Expertise in Python programming language and fluency in analytical tools such as Matlab, R, Weka etc.
- Strong intuition for data and keen aptitude on large-scale data analysis
- Strong communication and collaboration skills
**Estimated Salary:** $120,000 - $180,000 per year
**Benefits:** Bidgely offers a competitive salary, comprehensive health insurance, 401(k) matching, and a dynamic work environment.
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