Summer Data Science Associate - US Based Remote

Lensa; New York (NY); Remote; USD 30,000 - 50,000; Full time

Job summary

A leading career site is seeking a Summer Data Scientist Associate to join their data science team. In this role, you will gain hands-on experience in data analysis and machine learning, working on real business problems. The position offers the opportunity to develop skills in Python, SQL, and statistical analysis while collaborating with experienced professionals. Ideal candidates are currently pursuing advanced degrees in analytical disciplines and have some programming experience.

Qualifications

• Currently pursuing a Ph.D. (1-2 years) or Master's in relevant fields.
• Some experience in building end-to-end models in Python preferred.
• Basic understanding of statistical knowledge and machine learning algorithms.

Responsibilities

• Assist in exploring and understanding data, taking ownership of data-related questions.
• Perform ETL processes, aggregations, and feature engineering.
• Collaborate with other data scientists on projects.

Skills

Proficiency in SQL

Python programming

Statistical knowledge

Machine learning algorithms

Effective communication

Adaptability

Education

Ph.D. or Master's in Statistics, Data Science, Mathematics, Economics

Tools

pandas

numpy

scipy

scikit-learn

TensorFlow

Job description

Summer Data Science Associate - US Based Remote

3 days ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Anywhere Real Estate, is seeking professionals. Apply via Lensa today!

Job Title: Summer Data Scientist Associate

Summary of Role: As a Summer Data Scientist Associate, you will work closely with our data science team to address business problems through data analysis and machine learning. You will gain hands-on experience in collecting and processing data, performing statistical analysis, and developing machine learning models to support business decisions.

Responsibilities:

• Assist in exploring and understanding data, taking ownership of data-related questions.
• Perform ETL (Extract, Transform, Load) processes, aggregations, and feature engineering.
• Write Python code to create visualizations and implement models.
• Collaborate with other data scientists on projects, sharing knowledge and learning from the team.
• Be open to innovative ideas and alternative problem-solving approaches.
• Communicate and present results to non-technical stakeholders.
• Understand IT infrastructure to ensure models can be implemented in production environments.

Experience:

• Currently pursuing a Ph.D. (1-2 years in the program) or Masters in Statistics, Data Science, Mathematics, Economics, or a related analytical discipline.
• Some experience, including internships, in building end-to-end models in Python (or similar language) is preferred.

Skills:

• Proficiency in SQL and Python programming languages (pandas, numpy, scipy, scikit-learn, etc.).
• Basic understanding of statistical knowledge and machine learning algorithms. Exposure to deep learning is a plus.
• Familiarity with techniques such as Linear Regression, GLM, Random Forest, GBM, XGBoost, SVM, and various segmentation methods. Knowledge of Neural Networks and proficiency in Python packages (TensorFlow, etc.) are nice to have.
• Effective communication skills.
• Ability to learn new skills and adapt to new challenges.