Data Science Manager

Smoothstack; United States; On-site; USD 250,000 - 350,000; Full time

Job summary

An innovative firm specializing in AI automation is seeking a skilled Data Scientist. In this role, you will develop advanced data science models to tackle complex business challenges and collaborate with cross-functional teams to integrate AI solutions. Your expertise in Python, R, and machine learning frameworks will be crucial as you analyze large datasets to derive actionable insights. This contract position offers the potential for extension and conversion to a permanent role, allowing you to contribute to building an AI platform for a leading bank in Texas. Join this forward-thinking company and make a significant impact in the fintech industry!

Qualifications

• 3-4 years of experience in data science and machine learning.
• Strong analytical and problem-solving skills with a willingness to learn.

Responsibilities

• Develop and implement advanced data science models for business solutions.
• Analyze large datasets to extract actionable insights.

Skills

Python

R

SQL

Machine Learning

Data Analysis

Statistical Analysis

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

TensorFlow

PyTorch

Job description

Direct message the job poster from Smoothstack

Company Overview: We are a forward-thinking company specializing in AI automation and analytics. Our mission is to drive innovation and deliver exceptional client outcomes through the integration of human ingenuity, aesthetic design, and scalable software engineering.

Key Responsibilities:

• Develop and implement advanced data science models to solve complex business problems.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Analyze large datasets to extract actionable insights and support decision-making processes.
• Design and conduct experiments to validate the effectiveness of AI models.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
• Experience: 3-4 years of experience in data science, data engineering, and machine learning.
• Technical Skills: Proficiency in Python, R, SQL, and experience with machine learning frameworks such as TensorFlow or PyTorch.
• Industry Knowledge: Experience in banking and financial services, particularly in collections and fraud detection.
• Attributes: Strong analytical and problem-solving skills, curiosity, and a willingness to learn about LLMs and generative AI.
• Duration: 3 to 6 months contract with potential for extension and conversion to permanent roles.
• Objective: Build an AI platform for a bank's analytical products and services.
• Client: A midsize, innovative bank in Texas focused on fintech and payments.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Design

• Industries

  IT Services and IT Consulting

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