Data Scientist — United States

This is a Fully Remote Job

About Our Client:

The organization operates within the technology sector, focusing on artificial intelligence and data science applications. It addresses the challenge of extracting actionable insights from complex datasets to support strategic decision-making and business objectives. The team engages with real-world data science and machine learning projects, fostering innovation and continuous learning.

About the Opportunity:

The DATA SCIENTIST role is designed for an early-career professional tasked with analyzing structured and unstructured data to develop predictive models and generate insights. This position contributes to the organization's success by transforming complex data into evidence-based solutions that inform business strategies and drive technological advancement.

Responsibilities:

• Collect, clean, and analyze large datasets from multiple sources.

• Conduct exploratory data analysis to identify patterns and opportunities.

• Develop and evaluate machine learning models for predictive analytics.

• Apply statistical and mathematical methods to interpret data.

• Write efficient Python code using data science libraries.

• Build models including classification and regression algorithms.

• Extract and manipulate data using SQL.

• Create visualizations and reports to communicate findings.

• Assess model performance and suggest improvements.

• Collaborate with engineers and analysts to meet business needs.

• Support development of data processing and machine learning workflows.

• Document datasets, methodologies, experiments, and results.

• Stay current with emerging data science techniques and technologies.

Requirements:

• Master's degree in Data Science, Computer Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or related field.

• 0 to 1 year of experience in data science or related technical roles.

• Proficiency in Python and familiarity with Pandas, NumPy, Scikit-learn.

• Strong foundation in statistics, probability, linear algebra, and mathematics.

• Understanding of machine learning concepts including supervised and unsupervised learning.

• Skilled in data preprocessing, cleaning, feature engineering, and exploratory analysis.

• Proficient in SQL for data querying and analysis.

• Experience with data visualization tools like Matplotlib or Seaborn.

• Knowledge of machine learning algorithms such as regression, decision trees, random forests, clustering, classification.

• Experience with development environments like Jupyter Notebook or Google Colab.

• Basic understanding of model evaluation and performance metrics.

• Familiarity with version control systems such as Git and GitHub.

• Strong analytical and problem-solving skills.

• Ability to communicate complex data insights clearly.

• Attention to detail and collaborative mindset.

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TpfESa4Yn is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.