Data Scientist

KTPM Inc.; Atlanta (GA); Hybrid; USD 90,000 - 150,000; Full time

Job summary

KTPM Inc. is seeking a Data Scientist and Computer Engineer to turn data into actionable insights. You will analyze large datasets, build predictive models, and design scalable data pipelines from collection through preprocessing and feature generation.

You will collaborate with UI/UX designers, product managers, and software engineers around the world, applying cutting‑edge ML methods to real problems and delivering results with speed and quality.

Qualifications

• Bachelor's/Master's/PhD in a quantitative discipline (CS/Math/Stats/OR).
• Experience with Python scripting.
• Experience with data analysis libraries (NumPy, Pandas).
• Familiar with ML libraries (scikit-learn).
• Experience with deep learning frameworks (TensorFlow, PyTorch, MXNet, Keras).
• Applied ML on large datasets.
• Experience collecting, preprocessing, and feature generation.
• Ability to select appropriate statistical tools.
• Full-stack development is a plus.
• Self-motivated and able to work independently or in teams.

Responsibilities

• Analyze large, complex data sets and develop predictive models and insights.
• Research ML methods, forecasting techniques, and optimization methods and apply them in practice.
• Create data pipelines ranging from data collection to preprocessing to feature generation.
• Be a highly motivated, self-starter who is passionate about technology and solving problems in a creative manner.
• Work with multidisciplinary teams ranging from UI/UX designers to product managers to software engineers all over the world.

Skills

Python

NumPy

Pandas

Scikit-learn

TensorFlow

PyTorch

Feature Engineering

Data Pipelines

ML & DL Research

Full-stack development

Team collaboration

Independent work

Fast failure

Education

Bachelor's/Master's/PhD in quantitative field

Job description

As a Data Scientist and Computer Engineer, your deliverables will include, but not limited to the following:

• Analyze large, complex data sets and develop predictive models and analytical insights
• Research the latest machine learning methods, forecasting techniques, and optimization methods and apply them in practice
• Create data pipelines ranging from data collection to preprocessing to feature generation
• Be a highly motivated, self-starter who is passionate about technology and solving problems in a creative manner
• Work with multidisciplinary teams ranging from UI/UX designers to product managers to software engineers all over the world

Required Experience:

• Bachelors/Masters/PHD in a quantitative discipline such as Computer Science, Mathematics, Statistics, or Operations Research
• Experience with a scripting language such as python
• Development experience with data analysis libraries such as numpy and pandas
• Understanding of Machine Learning principles and familiarity with libraries such as sklearn
• Experience using deep learning frameworks such as tensorflow, pytorch, MXnet, or keras
• Applied experience with machine learning on large datasets
• Experience collecting, preprocessing, and generating features for machine learning models
• Demonstrated skill in selecting the right statistical tools for a data analysis problem
• Full-stack development is a plus
• Go getter who can take ideas and bring them to life
• Ability to fail fast and obtain quick wins
• Passion to succeed and takes pride in their work
• Ability to work independently as well as work effectively with a team