Senior Data Scientist Engineer

2 months ago


New York, United States New York Technology Partners Full time

Senior Data Scientist Engineer

Greenwich, CT/NY


This is a hybrid role (three days in the office/two days remotely).


About Your Team:

A Telemetry/Data/AI team that works closely with product owners and development teams. As part of this team, you will build or use tools to collect and analyze data that will help understand the business and assist with decision-making.


We are looking for a Data Scientist and engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights.

In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models.

Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytical efforts.

In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions.


Your Responsibilities:

Design, develop, and implement data pipelines to collect, clean, and transform data from various sources

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Assist with data labeling and tagging

Analyze large amounts of information to discover trends and patterns

Present information using data visualization techniques

Propose solutions and strategies to business challenges

Collaborate with engineering and product development teams

Perform feature engineering for AI applications


What Skills Are Required?

BS/MS/PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is preferred

5 + years of experience as a Data Scientist or Data Analyst

Experience in data mining

Understanding of machine learning and operations research

Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus

Experience using ELK Stack (Elasticsearch, Logstash, and Kibana)

Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)

Experience with AI/ML-based solutions for data analysis is a big plus

Analytical mind and business acumen

Strong math skills (e.g. statistics, algebra)


To Be Successful in This Position, You Will Have the Following:

Self-motivated and able to handle tasks with minimal supervision.

Superb analytical and problem-solving skills.

Excellent collaboration and communication (Verbal and written) skills.

An innovative mindset with a drive to improve upon existing systems.

Outstanding organizational and time management skills.



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