Data Scientist
Soho Square Solutions
Responsibilities:
- Develop a deep understanding of business data-sets through a combination of database queries, and exploratory statistical analysis and visualization
- Formulate business needs as data science problems where applicable and effectively communicate them to peers, managers and key stakeholders, including the benefits and limitations of models.
- Design and develop Machine Learning models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest to the company
- Partner closely with Infrastructure and Application teams to help develop architecture and implementation of modeling efforts to ensure performance and scalability
- Experience working with data sets; processing, analyzing, and communicating results.
- Ability to clearly explain findings from complex analyses in case studies and through visualizations
- A passion for empirical research and for answering hard questions with data in a clear and precise way
- Ability to take high level, loosely-defined business problems and identify precise, quantitative solutions
- Familiarity with relational databases and SQL, data transformation (ETL), data mining, ad-hoc analysis
- Experience conducting methods using any of the following: machine learning, predictive modeling, statistical inference, experimental design, data mining, and optimization
- Solid understanding of a broad range of Regression techniques
- Experience coding with at least two of the following: R, Python (including scientific libraries SciPy, Scikit, Pandas, and NumPy preferred), Scala, and SQL languages for interactions with relational databases
- [Desired] Experience in Linux/Unix environment and shell scripting
- [Desired] Familiarity with Big Data platforms such as Hadoop, Spark, building data warehouses and data lakes in Amazon Web Services and/or Microsoft Azure
- Ability to communicate results and progress internally and externally in meetings, presentations, and tech talks
- Minimum of a Bachelor's Degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, etc.); research experience or relevant graduate studies a plus.
Vacancy posted 1 day ago
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