Data Engineer - Senior

LS Solutions; Philadelphia (Philadelphia County); On-site; USD 125,000 - 180,000; Full time

Job summary

LS Solutions seeks a Senior Data Science Engineer in a consulting environment to translate complex analytics problems into technical solutions and communicate results to diverse stakeholders. You will plan engagements, retrieve and process data from multiple sources, and lead data analysis and ML development to deliver business impact.

You will collaborate with internal teams and AI technology providers, apply structured problem-solving, manage risks, and ensure code quality in Linux and cloud

Qualifications

• 3+ years of requirements gathering, quality management, and analytics, esp. NLP & ML on unstructured data.
• Bachelor's degree in CS/Stats/Data Science/Engineering or related field preferred.
• Proven end-to-end analytics experience using Python, PySpark, SQL, Databricks, Snowflake.
• Strong AI technique application to business goals; excellent problem-solving & communication.

Responsibilities

• Translate complex analytics problems into technical solutions and communicate results to stakeholders.
• Plan and execute engagement objectives; retrieve, prepare, and process data from various sources.
• Collaborate with internal teams and AI providers to build innovative solutions.
• Apply structured problem-solving, manage risks, and communicate findings to executives.
• Lead data analysis, hypothesis testing, and development of ML algorithms & DS solutions.
• Ensure code quality, data extraction/enrichment, and provide technical oversight.

Skills

Requirements gathering

Quality management

Analytics

NLP

Machine learning

Communication

Problem solving

Education

Bachelor’s degree in Computer Science, Statistics, Data Science, Engineering, or related fields

Tools

Python

PySpark

SQL

Databricks

Snowflake

Job description

Role: Senior Data Science Engineer in a consulting environment.
Responsibilities

• Translate complex analytics problems into technical solutions, communicating results to diverse stakeholders.
• Plan and execute engagement objectives, retrieving, preparing, and processing data from various sources.
• Collaborate with internal teams and AI technology providers to develop innovative solutions for business challenges.
• Utilize structured problem-solving approaches, manage risks, and communicate findings to executive audiences.
• Lead data analysis, hypothesis testing, and oversee the development of machine learning algorithms and data science solutions.
• Ensure code quality, perform data extraction and enrichment, and provide technical oversight.
• Uphold professional integrity and a respectful work environment.

Qualifications & Skills

• Minimum of three years' experience in requirements gathering, quality management, and analytics, especially in natural language processing and machine learning on unstructured data.
• Bachelor's degree in Computer Science, Statistics, Data Science, Engineering, or related fields preferred.
• Proven expertise in end-to-end analytics, data engineering, using Python, PySpark, SQL, Databricks, and Snowflake.
• Strong ability to apply AI techniques to achieve business goals, with excellent problem-solving and communication skills.
• Proficiency with diverse technologies, cloud platforms, scripting, and production-level coding.
• Ability to work in Linux and cloud environments; authorized to work in the U.S. without sponsorship.