Summer Data Science Associate - US Based Remote

Lensa; Miami (FL); Remote; USD 100,000 - 125,000; Full time

Job summary

A leading company is seeking a Summer Data Science Associate to work remotely. You will collaborate with a data science team, gaining hands-on experience in data analysis and machine learning applications. Ideal candidates are pursuing advanced degrees in analytical disciplines and possess solid programming skills in Python and SQL.

Qualifications

• Currently pursuing a PhD (1-2 years in the program) or a Masters in Statistics, Data Science, Mathematics, Economics.
• Basic understanding of statistical knowledge and machine learning algorithms.
• Exposure to deep learning techniques is a plus.

Responsibilities

• Assist in exploring and understanding data.
• Perform ETL processes, aggregations, and feature engineering.
• Write Python code to create visualizations.

Skills

Proficiency in SQL

Proficiency in Python

Statistical knowledge

Machine learning algorithms

Effective communication skills

Education

Currently pursuing a PH.D or Masters in relevant field

Job description

Summer Data Science Associate - US Based Remote

Summer Data Science Associate - US Based Remote

1 week 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 an 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.
  
  

Anywhere Real Estate Inc. (http://www.anywhere.re/) (NYSE: HOUS) is moving real estate to what's next. Home to some of the most recognized brands in real estateBetter Homes and Gardens Real Estate (https://www.bhgre.com/) ,Century 21 (https://www.century21.com/) ,Coldwell Banker (https://www.coldwellbanker.com/) ,Coldwell Banker Commercial (https://www.cbcworldwide.com/) ,Corcoran (https://www.corcoran.com/) ,ERA (https://www.era.com/) , andSotheby's International Realty (https://www.sothebysrealty.com/eng) , we fulfill our purpose to empower everyone's next move through our leading integrated services, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority owned joint ventures. Anywhere supports nearly 1 million home sale transactions annually and our portfolio of industry-leading brands turns houses into homes in more than 118 countries and territories across the world.

At Anywhere, we are empowering everyone’s next move – your career included. What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. We pursue talent – strategic thinkers who are eager to always find a better way, relentlessly focus on talent, obsess about growth, and achieve exceptional results. We value our people-first culture, which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report (https://anywhere.re/wp-content/uploads/2025/03/2024-Impact-Report.pdf) .

We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:

• Great Place to Work
• Forbes World's Best Employers
• Newsweek World's Most Trustworthy Companies
• Ethisphere World's Most Ethical Companies
  
  

EEO Statement: EOE including disability/veteran.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lensa by 2x

Sign in to set job alerts for “Data Associate” roles.

Analyst Data Analytics - US Based Remote

Data Migrations Specialist - PracticePanther

Coral Gables, FL $120,000.00-$150,000.00 5 days ago

Remote Certified Oncology Data Specialist 2, $6000 Bonus, Miami Cancer Institute, FT, Remote, 8:00A - 4:30P

Fort Lauderdale, FL $40,000.00-$65,000.00 7 months ago

Associate Director, Data Scientist & Data Operations

Outpatient Coder 2 [Remote], Health Information Management, Full Time, Days

Principal Data Scientist, Delivery Technology

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.