Data Science Lead

Overview

On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent

Skills

Software Engineering
Optimization
Data Cleansing
Collaboration
DS
DirectShow
Natural Language Processing
Large Language Models (LLMs)
Python
Data Analysis
Management
Unsupervised Learning
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
SQL
Database
Machine Learning Operations (ML Ops)
Algorithms
Evaluation
Machine Learning (ML)
Open Source
scikit-learn
BERT
LangChain
Autogen
Computer Science
Data Science
Agile
Scrum
Software Development Methodology
Technical Writing
Application Development
Software Modernization
Process Outsourcing
IT Service Management

Job Details

Job description:-

Title: Data Science Lead


Location: Dallas, TX & NY/NJ (Initial remote)
W2/fulltime

Additional Job Details:

Data Science Lead
Location: Dallas, TX & NY/NJ

W2/Fulltime

Who are we looking for?
Individuals with 8+ years of experience implementing and managing data science projects. Excellent working knowledge of traditional machine learning and LLM techniques.
The candidate must demonstrate the ability to navigate and advise on complex ML ecosystems from a model building and evaluation perspective. Experience in NLP and chatbots domains is preferred.

We acknowledge the job market is blurring the line between data roles: while software skills are necessary, the emphasis of this position is on data science skills, not on data-, ML- nor software-engineering.

Responsibilities:

  • Lead data science and machine learning projects, contributing to model development, optimization and evaluation.
  • Perform data cleaning, feature engineering, and exploratory data analysis.
  • Translate business requirements into technical solutions, document and communicate project progress, manage non-technical stakeholders.
  • Collaborate with other DS and engineers to deliver projects.

Technical Skills Must have:
  • Experience in and understanding of the natural language processing (NLP) and large language model (LLM) landscape.
  • Proficiency with Python for data analysis, supervised & unsupervised learning ML tasks.
  • Ability to translate complex machine learning problem statements into specific deliverables and requirements.
  • Should have worked with major cloud platforms such as AWS, Azure or Google Cloud Platform.
  • Working knowledge of SQL and no-SQL databases.
  • Ability to create data and ML pipelines for more efficient and repeatable data science projects using MLOps principles.
  • Keep abreast with new tools, algorithms and techniques in machine learning and works to implement them in the organization.
  • Strong understanding of evaluation and monitoring metrics for machine learning projects.

Technical Skills Good to have:
  • Track record of getting ML models into production
  • Experience building chatbots.
  • Experience with closed and open source LLMs.
  • Experience with frameworks and technologies like scikit-learn, BERT, langchain, autogen...
  • Certifications or courses in data science.

Education:
  • Master s/Bachelors/PhD Degree in Computer Science, Engineering, Data Science, or a related field.

Process Skills:
  • Understanding of Agile and Scrum methodologies.
  • Ability to follow SDLC processes and contribute to technical documentation.

About Tanisha Systems, Inc.

Tanisha Systems, founded in 2002 in Massachusetts-*, is a leading provider of Custom Application Development and end-to-end IT Services to clients globally. We use a client-centric engagement model that combines local on-site and off-site resources with the cost, global expertise and quality advantages of off-shore operations. We deliver Custom Application Development, Application Modernization, Business Process Outsourcing and Professional IT Services from office locations in * and *.
Tanisha Systems services clients in Government, Banking & Financial Markets, Insurance, Healthcare, Retail & Consumer Goods, Energy & Utilities, Life Sciences, Telecom, Manufacturing and Transportation Industries around the globe. Our engagement model provides a flexible operational environment that empowers our clients with the right levels of control.

Want to read more about Tanisha Systems? Visit us at

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