Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Algorithms @ 6
Communication @ 3
Data Analysis @ 5
Data Science @ 5
Hadoop @ 3
Machine Learning @ 5
Python @ 6
SQL @ 6
Spark @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Responsibilities
- Design end-to-end machine learning models to answer targeted business questions and drive change
- Perform large-scale data analysis and manipulations to extract insights and influence business decisions
- Organize and analyze data to identify historical patterns to better position workflows
- Partner with other analysts on department-wide initiatives
- Research, develop, and implement new methods of extracting relevant data from a variety of sources
- Collaborate and consult with business colleagues to better understand their domain
- Design, prototype, and implement technical solutions using a combination of proprietary, third-party and open-source technology
Requirements
- 5+ years of data science/machine learning experience
- Strong foundational programming skills with deep expertise in Python and SQL
- Ability to write clean, efficient, and optimized code for data processing, analysis, and model deployment
- Hands-on experience building end-to-end machine learning models with post-deployment best practices
- Ability to assimilate, decipher, and present data analysis from a client impact perspective
- Ability to run multiple projects at a time and shift priorities quickly
- Strong analytical skills, troubleshooting ability, and ability to trace root causes
- Excellent written, verbal, and presentation communication skills
We'd love to see
- Experience with client services within the tech/financial industry
- Strong knowledge of supervised and unsupervised anomaly detection algorithms
- Experience with big data tools and infrastructure (Hadoop, Spark...)
Benefits
- Comprehensive and generous benefits plan (details via Bloomberg)
- May include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) + match, life insurance, and various wellness programs
Salary Range = 190,000 - 220,000 USD Annual + Benefits + Bonus
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