Data Scientist II
TrueMLSalary not specified
- Full Time
- Junior (1 to 2 years)
$120,000 – $180,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Data Science, BiotechnologyIndustries
Requirements
Candidates should possess a PhD or MS degree in Computer Science, with a preference for experience in machine learning, statistics, and optimization principles. A minimum of two years of experience as a Data Scientist is required, along with hands-on experience building Google Cloud Platform highly scalable data processing pipelines for volatile live data streams. Knowledge of geospatial data formats, libraries, and spatial database query syntax is also essential.
Responsibilities
The Data Scientist at SynMax will collaborate with analysts and domain experts to understand business requirements and translate them into technical product solutions, design and implement probabilistic and deterministic algorithms for information extraction and fusion, perform exploratory data analysis, develop and test candidate algorithms, assemble and clean training and test datasets, perform model training, iterate to meet model performance requirements, develop and maintain Python-based applications for processing live data streams on Google Cloud Platform, work closely with relational databases to extract actionable insights, optimize application performance and scalability, implement best practices for code quality and deployment automation, and stay updated on emerging technologies and industry trends.
Skills
Python
Google Cloud Platform
Machine Learning
Statistics
Optimization
Data Processing
Data Pipelines
Geospatial Data
Spatial Databases
SQL
Probabilistic Algorithms
Deterministic Algorithms
Data Cleaning
Model Training
Data Analysis
Syntax
Investment analytics and portfolio management tools
About Syntax
Syntax provides financial technology solutions that focus on investment analytics and portfolio management. Their platform allows users to access detailed profiles of companies and Exchange-Traded Funds (ETFs), helping investors understand risks and opportunities. They also create proprietary benchmark indices for accurate performance metrics and employ algorithms for tax-efficient strategies. Syntax aims to enhance decision-making for individual and institutional investors through subscription-based access to their tools and data.
Key Metrics
New York City, New YorkHeadquarters
N/AYear Founded
VENTURE_UNKNOWNCompany Stage
Fintech, Financial ServicesIndustries
51-200Employees