What are the responsibilities and job description for the Data Scientist position at Saxon Global?
JOB SUMMARY
As part of this group, the Data Scientist job is responsible for executing the full-scope of advanced analytic techniques with the objectives of improving business processes, enhancing product personalization, and improving customer retention through discovery of causal relationships, predictive analysis, and recommender systems. Additionally, role will also be responsible for developing experiments and metrics to test and monitor system improvements. This position requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
MAJOR DUTIES AND RESPONSIBILITIES
Plan, lead, and execute the complete analytics life-cycle for problem solving, including :
- Requirements gathering
- Problem formulation
- Data grooming
- Data exploration
- Model prototyping
- Model validation
- Algorithm productionalization
Survey varied data sources for analytic relevance, including :
Interpret, synthesize and communicate results of analyses to effect action and changes within the organization
Collaborate across teams to integrate analytic products with existing production architectures, develop execute and evaluate courses of action, and socialize results
Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
Exercise thought leadership and discretion in tailoring the tools, approaches, and data used to meet the needs of the particular problem
Perform other duties as required
REQUIRED QUALIFICATIONS
Skills / Abilities and Knowledge
PREFERRED QUALIFICATIONS
Skills / Abilities and Knowledge
Education
Advanced degree in computer science, mathematics, statistics, physics, operations research or other quantitatively-focus fields
Related Experience Years Work Experience
Phd 3
Masters 6
Bachelors 8
Required Skills : - Professional experience with Machine Learning - Education in STEM, applied mathematics, or statistics o Background in math and programming essentially - Strong SQL and ETL experience - Python, Java, or R o Scala is nice to have - Modeling experience : statistical, predictive, regression, ML, etc. o Binary classification models, continuous target models, etc. - Experience with Big Data tools and / or working with large data sets - Any cloud experience (ideally AWS)- in the process of moving everything over to AWS - Open and willing to do whatever is needed as the needs of the projects will change Will need to do live coding with Python or SQL during the interview
Basic Qualification :
Additional Skills : Long term
Background Check : Yes
Notes :
Selling points for candidate : Long term
Project Verification Info :
Candidate must be your W2 Employee : Yes
Exclusive to Apex : No
Face to face interview required : Yes
Candidate must be local : Yes
Candidate must be authorized to work without sponsorship : : No
Interview times set : : No
Type of project : Assessment / Analysis
Master Job Title : Data Scientist
Branch Code : Denver