Data Scientist

apartmentedrstaffing placeRidgefield calendar_month3/3/25

Description

As a Data Scientist in our team, you will work on data science projects across the company with the purpose of solving complex business problems by applying advanced methods including artificial intelligence, machine learning, causal inference, advanced statistics, computer vision, natural language processing and other related techniques.

Data Scientists are experienced in delivering successful data science projects in a team and working in collaboration with business partners to develop applications utilizing data for smart decision making. You will also design and build computational models, discovering insights and identifying opportunities using statistical and algorithmic methods as well as data visualization techniques.

Turning data into critical information and knowledge, the Data Scientist will manage small projects, potentially including external support and develop and mentor more junior colleagues.

Requirements
Bachelors Degree in a quantitative field (e.g., Physics, Mathematics, Computer Science).
5+ years of relevant data science experience.
Proficiency and 2 years experience in Python, R, C++, and parallel computing.

Experience with big data tools (Hadoop, Spark) and scripting languages (PHP, Perl, Bash).

Unix environment experience

Expertise in relevant methods and skills such as data wrangling, EDA, data visualization, prototyping, feature engineering, dimensionality reduction, classification methods, regression methods, clustering methods, computer vision methods, time-series analysis, causal inference, NLP.

Knowledge of ETL processes and various data formats, types of database operations, concepts, architecture, data hygiene /enrichment.
Knowledge for API usage, web scraping and text processing

Strong analytical and problem-solving skills.

First-hand experience of collaboration in an agile software development team
2 years of deep analytical problem solving in business or quantitative analytical research.
Expertise designing, setting up and executing validation and experimentation of data science outcomes in business environments.
Experience in project management, driving and delivering data science projects, and ability to engage and communicate effectively with business users and effectively communicating.
Entrepreneurial and agile mindset /out-of-the-box thinking.

Excellent English communication skills, both verbal and written.

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