Senior Data Scientist – ML, Spark & Analytics

Inherent Technologies; Raritan (NJ); On-site; USD 120,000 - 160,000; Full time

Job summary

Inherent Technologies in Raritan, NJ, is seeking a Senior Data Scientist to design and implement advanced ML algorithms, leveraging Python, Scala, and Apache Spark. The role focuses on extracting insights from large datasets and delivering tailored analytical reports to colleagues and clients.

You will develop data models using Python and SQL, mine large datasets for trends, and collaborate with cross-functional teams to translate insights into strategic business decisions.

Qualifications

• Strong knowledge of ML principles and algorithms using TF & PyTorch.
• Proficient in Python for data analysis and model development.
• Solid understanding of SQL for data manipulation and querying large databases.
• In-depth experience with data analytics techniques and tools for interpreting complex datasets.
• Excellent collaboration and communication skills to work with diverse teams and stakeholders.

Responsibilities

• Design and implement advanced ML algorithms using TensorFlow and PyTorch to extract insights from large datasets, delivering customized analytical reports.
• Leverage Python and SQL to develop and optimize data models addressing organizational challenges and ensuring data integration.
• Analyze and mine large datasets to identify trends and patterns, providing actionable recommendations based on results.
• Collaborate with cross-functional teams to identify opportunities for data insights to formulate strategic business solutions.
• Create comprehensive visualizations and reports using data visualization tools to communicate complex analysis clearly for customers and stakeholders.

Skills

ML Algorithms

Python

SQL

Data Analytics

Collaboration

Tools

TensorFlow

PyTorch

Apache Spark

SQL

Job description

Inherent Technologies in Raritan, NJ, is seeking a Senior Data Scientist to design and implement advanced ML algorithms, leveraging Python, Scala, and Apache Spark. The role focuses on extracting insights from large datasets and delivering tailored analytical reports to colleagues and clients.

You will develop data models using Python and SQL, mine large datasets for trends, and collaborate with cross-functional teams to translate insights into strategic business decisions.