Search for Summer Data Scientist Associate roles remotely, focusing on positions that require Python and SQL proficiency, for candidates with a Master's or Ph.D. in Data Science or Statistics, ideally in the real estate industry.

Okay, I've searched for Summer Data Scientist Associate roles that allow remote work, requiring proficiency in Python and SQL, suitable for candidates with a Master's or Ph.D. in Data Science or Statistics. Additionally, I've narrowed it down to the real estate industry. I found 25 positions that match your criteria.

Summer Data Scientist Associate

Remote

Python

SQL

Master's or Ph.D.

Real Estate

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

As a Summer Data Science Associate, the primary purpose of this role is to leverage data analysis and machine learning to provide actionable insights for business decisions at Lensa and Anywhere Real Estate. The candidate is expected to engage with data at various stages, employing ETL processes, statistical analysis, and model development, indicating that a core responsibility is solving complex data-related problems that may impact client relationships or operational efficiencies. The role necessitates a strong foundation in data manipulation, proficiency in Python and SQL, and the ability to transform data findings into clear narratives for non-technical stakeholders. Success in this role would not only involve technical execution but also effective communication and collaboration with peers, suggesting that the candidate must adapt to dynamic project needs and evolving challenges while contributing to a team environment. Over the first 6–12 months, a successful candidate would be expected to demonstrate growth in technical proficiency, the ability to manage independent projects, and the capacity to communicate insights that drive strategic decisions.

Company Analysis:

Lensa operates within the innovative tech-driven landscape of career services, focused on enhancing the job search process through machine learning. Positioned as a disruptor in talent acquisition, Lensa prioritizes technology and user experiences, fostering a culture centered around empowerment, collaboration, and continuous improvement. This empowers employees to drive change and develop solutions. In terms of the organizational context, the Summer Data Science Associate will work closely with a team of data scientists, which offers the potential for high visibility and mentorship from experienced professionals. The strategic alignment of this role lies in supporting the company’s mission to optimize job placements and reduce recruitment costs—key components that directly relate to Lensa's growth. Overall, candidates who align with a culture of innovation and shared ownership within a fast-paced work environment will thrive, especially as the company consistently seeks to push boundaries within the career platform industry.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to solve a complex problem involving data analysis.
Describe a situation where you had to communicate technical information to non-technical stakeholders. How did you ensure they understood?
Can you share an example of a project where you utilized Python for data analysis? What challenges did you face?
How do you prioritize multiple tasks when working with tight deadlines on data-related projects?
How would you approach the ETL process for a new dataset? What steps would you take?
What methods do you use to validate the results of your machine learning models?
Imagine you discover a significant flaw in your data analysis just before presenting to stakeholders. What steps would you take?
If asked to develop a model to predict customer preferences for real estate based on user behavior data, how would you start?
Why are you interested in working at Lensa, and how do you see your role contributing to our mission?
How does our company's commitment to innovation influence your approach to data science projects?
What strategies do you employ to stay updated on the latest developments in data science and machine learning?
Are there any questions you have about the projects you would be working on or the data science team's goals?
What aspects of our company culture do you find most appealing, and how do they align with your values?

Job Details

Overview Company

Data Science Associate

Lensa

6 months ago

Highlight

RemoteFull-timeEntry

Summary

Anywhere Real Estate is seeking a Summer Data Science Associate to join their team remotely. The role involves working closely with the data science team to address business problems through data analysis and machine learning.

About the Role

As a Summer Data Science Associate, you will assist in exploring and understanding data, perform ETL processes, and write Python code to create visualizations and implement models. You will collaborate with other data scientists, communicate results to non-technical stakeholders, and understand IT infrastructure for model implementation.

About You

Required:

Currently pursuing a PH.D (1-2 years in the program) or Masters in Statistics, Data Science, Mathematics, Economics, or a related analytical discipline.
Proficiency in SQL and Python programming languages.
Basic understanding of statistical knowledge and machine learning algorithms.
Effective communication skills.

Preferred:

Some experience, including internships, in building end-to-end models in Python.
Exposure to deep learning.
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 like TensorFlow.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Baltimore, MD