Data Scientist

Job Title: Data Scientist

Location: Newark, NJ 07101

Position
Type: Full-Time

Primary
Skills: Python,
ETL Development, Power BI

Client:
Our client
is a US-based investment management business of an American Fortune Global 500
and Fortune 500 company whose subsidiaries provide insurance, investment
management, and other financial products and services to both retail and
institutional customers throughout the United States and in over 40 other
countries.

Position
overview

We
are looking for a strong Data Scientist with a heavy Python and analytical
background to join our team. This role is focused on deep data analysis,
exploration, and enrichment rather than traditional ETL development.

You will work extensively with Python data frames to uncover insights, detect
anomalies, and transform raw data into meaningful, decision ready outputs. The
results of your analysis will be visualized in our BI platform (Power BI) and
used directly by stakeholders for data driven decision making.

This position is ideal for someone who enjoys working with complex datasets,
solving open ended analytical problems, and clearly communicating insights
through data and storytelling.

Responsibilities

Perform
deep data analysis and exploratory data analysis (EDA) using Python

Transform,
enrich, and analyse large datasets using pandas and polars

Identify
trends, patterns, and anomalies in complex datasets

Design
analytical approaches to solve ambiguous and open ended problems

Prepare
high quality, analysis ready datasets for reporting and decision making

Visualize
insights and analytical results using Power BI

Collaborate
with stakeholders to translate business questions into analytical solutions

Validate
data quality and ensure accuracy of analytical outputs

Communicate
findings clearly through dashboards, reports, and written insights

Requirements

Strong
Python skills with a focus on data analysis

Solid
data science background with hands on analytical experience

Proven
experience with pandas and polars (both required)

Strong
experience in: Data exploration, Statistical analysis, Anomaly and outlier
detection

Experience
working with BI tools, preferably Power BI

Ability
to think analytically and creatively when solving complex problems

High
attention to detail and data quality

Ability
to work independently in an analytical role

Nice
to have

Experience
with AI / LLM based analysis or data enrichment

Familiarity
with machine learning models for anomaly detection or pattern discovery

Experience
translating analytical outputs into executive level insights

Experience
working with large or complex datasets

Knowledge
of SQL for analytical purposes