Lead I - Data Science

TekWissen LLC

Overland Park, KS

JOB DETAILS
SALARY
$57.91–$57.91
SKILLS
Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automation, Best Practices, Business Intelligence, Business Support, Cloud Computing, Communication Skills, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Cost Analysis, Data Analysis, Data Management, Data Modeling, Data Quality, Data Science, Data Warehousing, Database Extract Transform and Load (ETL), Decision Support, Deep Learning, DevOps, Diversity, Enterprise Applications, GCP (Good Clinical Practices), Identify Issues, Information Technology & Information Systems, Machine Learning, Maintain Compliance, Microsoft Windows Azure, Modeling Languages, Natural Language Processing (NLP), Operations Planning, Power BI, Problem Solving Skills, Process Improvement, Prototyping, Python Programming/Scripting Language, Reporting Dashboards, Scalable System Development, Short Messaging Service (SMS), Snowflake Schema, Software Engineering, Tableau, Use Cases, Workforce Management
LOCATION
Overland Park, KS
POSTED
2 days ago
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Lead I - Data Science
Location: Bellevue WA / Kansas
Duration: 17 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
  • Data Engineer / Data Scientist (Cloud, AI & Analytics) with strong hands-on experience across cloud data engineering, advanced analytics, and artificial intelligence.
  • This role requires deep technical expertise in building scalable data pipelines, developing enterprise data solutions, and implementing production-grade AI systems "including LLMs and generative AI "to drive business insight and automation.
Key Responsibilities:
  • Build, maintain, and optimize scalable data pipelines and data models to support analytics, AI, and business intelligence use cases.
  • Develop and enhance ETL/ELT pipelines using Azure Data Factory (ADF) and cloud-native data integration patterns.
  • Develop and manage cloud data solutions using Snowflake for high-performance, cost-efficient analytics workloads.
  • Build and deploy AI and machine learning solutions, including deep learning, NLP, large language models (LLMs), and generative AI applications.
  • Perform AI experimentation, model development, and prototyping to solve business problems and identify automation opportunities.
  • Develop and operationalize end-to-end ML pipelines, from data preparation and feature engineering to deployment and monitoring.
  • Create dashboards and analytical applications that deliver actionable insights and support business decision-making.
  • Implement and maintain CI/CD pipelines to automate data and AI workflows, ensuring reliability, reproducibility, and faster releases.
  • Collaborate with engineering, analytics, product, and business teams to integrate data and AI solutions into enterprise applications.
  • Ensure adherence to data engineering, analytics, and AI best practices, including governance, quality, security, and observability.
  • Stay current with emerging data, AI, and LLM technologies to drive continuous improvement and innovation.
Required Skills:
  • Strong proficiency in Python for data engineering, analytics, and machine learning development.
  • Hands-on experience with Snowflake for cloud data warehousing and analytics. Experience developing and implementing data pipelines using Azure Data Factory (ADF) or equivalent ETL/ELT tools.
  • Solid experience with AI/ML techniques, including deep learning, NLP, and LLMs / Generative AI.
  • Experience building analytical models, experiments, and AI-driven solutions for real-world business problems.
  • Strong understanding of data modeling, data quality, and scalable data pipeline development.
  • Experience implementing CI/CD pipelines for data and ML workflows using modern DevOps practices.
  • Experience building dashboards and analytical applications using modern BI or visualization tools (Tableau/Power BI).
  • Familiarity with cloud platforms (Azure preferred; AWS/GCP acceptable).
  • Strong communication skills to translate complex technical concepts into business insights.
Preferred / Nice-to-Have Skills:
  • Experience with MLOps practices, model deployment, monitoring, and observability.
  • Experience with telecom network data (5G, LTE, VoLTE, SMS, data usage, roaming).
  • Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns.
  • Experience integrating LLMs with enterprise data and applications.
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About the Company

T

TekWissen LLC

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/