Search for Summer Data Science Associate roles, preferably remote or US-based, requiring proficiency in Python and SQL, with a focus on statistical analysis and machine learning, and for candidates currently pursuing a Master's or Ph.D. degree.

Okay, I've searched for Summer Data Science Associate roles that are remote or US-based, requiring proficiency in Python and SQL, with a focus on statistical analysis and machine learning, and open to candidates currently pursuing a Master's or Ph.D. degree. I found 42 suitable positions for you.

Summer Data Science Associate

Remote

Python

SQL

Masters

Ph.D

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

Sure. Here's the analysis:

Job Analysis:

The Summer Data Science Associate role at Lensa aims to bridge the gap between data science theory and real-world applications, primarily focusing on solving business problems through data analysis and machine learning. This position involves engaging with data through ETL processes, programming in Python, and collaborating with a team to drive insights that influence strategic decisions. A core aspect of success in this role includes not just technical acumen, but also the capacity to communicate findings effectively to stakeholders who may not have a technical background. Candidates can expect to face challenges such as working with imperfect data sets or needing to adapt to rapidly shifting project priorities. Achieving success within the first year might include demonstrating proficiency in implementing data-driven models that yield actionable insights and contribute to the company’s operational goals, as well as displaying growth in both technical skills and inter-team collaboration.

Company Analysis:

Lensa operates at the forefront of career technology, positioning itself as a leader in matching job seekers with suitable employment opportunities through innovative use of machine learning. The company is in a growing segment that addresses a longstanding pain point in the job search process. As part of Anywhere Real Estate, the role of the Summer Data Science Associate becomes even more significant, as their work will directly support a company that is redefining the real estate landscape on a global scale. Lensa's culture is likely fast-paced and driven by innovation, requiring employees to be adaptable and collaborative. This role is an important part of the data science team, which likely interacts closely with leadership, given the strategic importance of data in guiding decision-making. Candidates should align their ambitions with Lensa's mission of empowering all individuals in their career paths and contributing to the broader goals of enhancing service delivery in the housing market.

Mock up some interview questions based on the job description.

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

Can you describe a project where you had to work with complex data sets? What were the main challenges you faced?
Tell me about a time when you had to explain a technical concept to a non-technical audience. How did you ensure they understood?
Describe a situation where you encountered a significant obstacle during a data analysis project. How did you approach the problem?
What specific experience do you have with Python in data science projects, particularly in building models?
Can you give an example of how you've implemented ETL processes in past work or academic projects?
What statistical methods do you find most compelling, and how have you applied them in your analysis?
Imagine you have collected a data set that appears to show conflicting trends. How would you investigate and resolve this ambiguity?
Suppose your team has a tight deadline for a project, and you encounter a technical issue that may cause delays. How would you handle this scenario?
Why are you interested in the Summer Data Science Associate role at Lensa, and how does it align with your career goals?
How do you think your background in statistics or data science will contribute to Lensa's mission of transforming job searches?
What do you appreciate most about Lensa's approach to matching candidates with employers, based on your understanding?
What questions do you have about the data science team and how it contributes to Lensa's overall business strategy?
How do you envision contributing to a people-first culture in your role?
What specific features of Anywhere Real Estate's approach to integrated services do you find most interesting and why?

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 understand IT infrastructure for model deployment.

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.

Buffalo, NY