Search for Summer Data Scientist Associate roles that are remote, require proficiency in Python and SQL, have 1-2 years of experience, and offer opportunities in machine learning.

Okay, I’ve searched for Summer Data Scientist Associate roles that focus on remote positions, require proficiency in Python and SQL, needing 1-2 years of experience, and offering opportunities in machine learning. I’ve found 75 positions that match these criteria.

Summer Data Scientist Associate

Remote

Python

SQL

1-2 years

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

Sure. Here's the analysis:

Job Analysis:

In the role of Summer Data Science Associate, the primary focus is on leveraging data analysis and machine learning to address business challenges within the real estate sector. The successful candidate will not only assist in data exploration and ETL processes but will also be pivotal in developing models that translate raw data into actionable insights. This position requires a proactive approach to understanding data-related questions and a collaborative spirit, as the candidate will work closely with seasoned data scientists. Key responsibilities such as writing Python code for visualizations and model implementation are indicative of the hands-on nature of this role, suggesting candidates must be adept with practical applications of their academic knowledge. Success in this role is intimately tied to the ability to communicate findings effectively to non-technical stakeholders, reflecting a balance of technical prowess and interpersonal skills. Given the emphasis on innovative problem-solving and adaptability, candidates will likely face the challenge of navigating ambiguous data scenarios while also keeping abreast of emerging trends in machine learning.

Company Analysis:

Lensa operates in the innovative space of technology-enhanced recruitment, emphasizing a people-first approach in job searching. As a relatively young and dynamic company, Lensa's mission to streamline talent acquisition through machine learning positions it strategically in a competitive market. The collaboration with Anywhere Real Estate puts this role at the confluence of cutting-edge data science and the evolving real estate industry, suggesting significant opportunities for impact. The company's culture, highlighted by its commitment to innovation and empowerment, aligns with the collaborative nature of the Data Science Associate role. Being part of a cross-functional team means the new hire will enjoy substantial visibility, allowing for professional growth and direct contributions to the company's mission. Additionally, the organization values strategic thinkers eager to improve processes—traits essential for someone aiming to thrive here. This indicates that the Summer Data Science Associate role is not just about data analysis; it is about aligning data science efforts with broader organizational goals to drive impactful outcomes.

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 explain complex data findings to a non-technical audience. What approach did you take?
Can you describe an experience where you successfully completed an end-to-end data analysis project? What challenges did you face?
How do you handle conflicting data or results that do not align with your initial expectations during a project?
Tell me about a time you had to collaborate with others on a data project. How did you ensure effective communication and teamwork?
What approach would you take to perform ETL on a large dataset? Can you outline the specific steps you'd follow?
Describe how you would implement a machine learning model using Python. Which libraries would you prioritize and why?
Can you give an example of a statistical method or machine learning algorithm you've used and the context in which you applied it?
Imagine you are faced with a dataset that includes missing values. What strategies would you employ to address this issue?
If tasked with identifying trends in real estate transactions, how would you approach analyzing the data for meaningful insights?
Why are you interested in working at Lensa and specifically with the Anywhere Real Estate team?
How do you see your academic background in statistics and data science contributing to the goals of Lensa's data science initiatives?
What aspects of our company’s culture resonate most with you, and how do you see them influencing your work here?
What questions do you have about the current data projects the team is working on?
How does Lensa's mission align with your personal values and career goals?
What growth opportunities do you foresee within the Data Science team at Lensa during your stint as an intern?

Job Details

Overview Company

Data Science Associate

Lensa

3 days 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 for visualizations and model implementation. You will collaborate with other data scientists, communicate results to non-technical stakeholders, and ensure models can be implemented in production environments.

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.

Minneapolis, MN