Data Science with AI/ML (Role 2)

Highbrow LLC; Austin (TX); On-site; USD 80,000 - 110,000; Full time

Job summary

A data-driven tech company in Austin, Texas is seeking an experienced Data Scientist with expertise in AI/ML. The role involves analyzing datasets to generate actionable insights, collaborating with teams, and utilizing tools like Python, R, and SQL. Ideal candidates must hold a relevant degree and demonstrate strong analytical skills. Experience in supply chain analytics is preferred.

Qualifications

• 2+ years of Data Science experience.
• Strong analytical and problem-solving skills.
• Proficiency in Python, R, or SQL for data analysis.

Responsibilities

• Collaborate with clients to develop data-driven solutions.
• Analyze datasets to uncover trends for decision-making.
• Design dashboards to communicate insights.

Skills

Python

R

SQL

Statistical modeling

Data visualization

Problem-solving

Data-driven decision making

Entrepreneurial mindset

Education

Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science

Tools

Snowflake

Tableau

Job description

Job Title :- Data Science with AI/ML

Role :- 2

Employment Type :- W2

Duration :- Long Term

Visa Type :- US Citizens only

Location :- Austin, Texas (Onsite)

Note :- Data science + AI/ML is must + Supply chain Knowledge would be a plus

Job Description

We are seeking an experienced Data Scientist for data-driven problem-solving. The role involves collaborating with cross-functional teams, utilizing tools such as Python, R, SQL, and Tableau, as well as platforms like Snowflake. The ideal candidate will be responsible for analyzing raw data, translating it into meaningful KPIs and generating actionable insights. The individual will work closely with a data engineer and data scientist to create actionable insights to optimize inventory across the network. Prior experience working on supply chain analytics is a plus.

Job Responsibilities: (2 + years of Data Science Experience)

• Collaborate with clients to understand business challenges and develop data-driven solutions.
• Analyze large datasets to uncover trends, patterns, and actionable insights for strategic decision-making.
• Develop and implement statistical models, machine learning algorithms, and AI-driven solutions.
• Design interactive dashboards and visualizations to effectively communicate insights.
• Work closely with cross-functional teams, including business stakeholders, data engineers, and product managers.
• Utilize Python, R, and SQL for data analysis, modeling, and solution development.
• Continuously explore and apply new analytical techniques to enhance business outcomes.
• Prior experience in Supply Chain Management analytics is a plus

REQUIRED skills and qualifications:

• Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, or a related field.
• Strong problem-solving and analytical skills.
• Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter
• Passion for data-driven decision-making and a desire to learn.
• Proficiency in Python, R, or SQL for data analysis and machine learning.
• Experience with Snowflake, including data extraction, analytics, and reporting.
• Understanding statistical modeling and data visualization.