Data Scientist in Newark
Energy Jobline
Newark, United States of America
yesterday
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Newark, United States of America
Tech stack
API
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Computer Programming
Data Cleansing
Data Transformation
Data Systems
Data Visualization
Fraud Prevention and Detection
Hadoop
Python
Machine Learning
Recommender Systems
Power BI
Cloud Services
TensorFlow
SQL Databases
Tableau
Unstructured Data
Feature Engineering
PyTorch
Spark
Build Management
Scikit Learn
Data Management
Machine Learning Operations
Software Library
Job description
- Analyze large datasets to identify trends, patterns, and actionable insights
- Build and deploy machine learning models for prediction and classification tasks
- Work with structured and unstructured data from multiple sources
- Perform data cleaning, preprocessing, and feature engineering
- Collaborate with business stakeholders to understand requirements and translate them into data solutions
- Develop dashboards and reports to communicate insights
- Validate and monitor model performance and improve accuracy over time
- Work closely with engineering teams to deploy models into production
Requirements
We are seeking a talented and analytical Data Scientist with 3-5 years of experience to join our team. The ideal candidate will have hands-on experience working with data, building models, and generating insights to support business decision-making across domains such as Retail, Banking, Financial Services, Healthcare, or Insurance., * 3-5 years of experience as a Data Scientist or Data Analyst
- Strong programming skills in Python or R
- Experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
- Strong knowledge of statistics, probability, and data modeling
- Experience with SQL and working with large datasets
- Familiarity with data visualization tools (Tableau, Power BI, or similar)
Skills:
- Experience in one of the following domains:
- Retail (customer analytics, recommendation systems)
- Banking / Finance (fraud detection, risk modeling)
- Healthcare (patient data, predictive analytics)
- Insurance (claims analytics, underwriting models)
- Experience with big data tools (Spark, Hadoop)
- Knowledge of cloud platforms (AWS, Azure, or GCP)
- Experience deploying models using APIs or cloud services, * Strong analytical and problem-solving skills
- Ability to communicate complex findings in a simple way
- Attention to detail and data accuracy
- Ability to work in a collaborative, fast-paced environment
About the company
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers., Company DescriptionWe are a growing staffing and consulting firm specializing in placing skilled professionals across industries such as Banking, Financial Services, Retail, Healthcare, and Insurance. Our focus is on connecting high-quality talent with the right opportunities through a structured and results-driven approach.
We work closely with both clients and candidates to ensure strong alignment, offering support throughout the hiring process-from profile optimization and interview preparation to successful onboarding. Our goal is to build long-term partnerships and deliver consistent value through quality placements and reliable execution.Company DescriptionWe are a growing staffing and consulting firm specializing in placing skilled professionals across industries such as Banking, Financial Services, Retail, Healthcare, and Insurance. Our focus is on connecting high-quality talent with the right opportunities through a structured and results-driven approach.\r\n\r\nWe work closely with both clients and candidates to ensure strong alignment, offering support throughout the hiring process-from profile optimization and interview preparation to successful onboarding. Our goal is to build long-term partnerships and deliver consistent value through quality placements and reliable execution.