Data Scientist

We are seeking a talented and analytical Data Scientist to turn data into actionable insights that drive business decisions. The ideal candidate will have a strong foundation in statistics machine learning and data analysis with the ability to work across large datasets to uncover trends and build predictive models. This role requires both technical expertise and business acumen in a fully remote environment.

Key Responsibilities

Analyze structured and unstructured data to identify trends patterns and insights

Develop train and deploy machine learning models

Perform data cleaning preprocessing and feature engineering

Build predictive and prescriptive models to support business objectives

Collaborate with cross-functional teams to define data-driven solutions

Visualize data and present findings to stakeholders

Evaluate model performance and continuously optimize algorithms

Work with large datasets using tools such as SQL Python or R

Maintain documentation for models datasets and processes

Stay updated on emerging trends in data science and AI

Required Qualifications

Must be currently residing in the United States

Valid U.S. work authorization (citizen permanent resident or authorized work permit holder)

Proven experience as a Data Scientist or similar role

Strong proficiency in Python or R

Experience with machine learning frameworks (e.g. Scikit-learn TensorFlow PyTorch)

Solid understanding of statistics probability and data modeling

Experience with SQL and data manipulation

Strong analytical and problem-solving skills

Excellent communication and presentation abilities

Preferred Qualifications

Degree in Data Science Computer Science Statistics or a related field

Experience with big data technologies (e.g. Spark Hadoop)

Familiarity with cloud platforms (AWS Azure or Google Cloud)

Experience with data visualization tools (Tableau Power BI)

Knowledge of MLOps practices and model deployment

Work Environment

Fully remote role with flexible scheduling options

Must be available to work within U.S. business hours

Collaboration with distributed teams and stakeholders

Compensation & Benefits

Opportunity for long-term engagement or full-time conversion (if applicable)

Professional development and certification support