Search for Summer Data Scientist roles in New York, specifically remote, for candidates pursuing a Master's or PhD in Data Science, with skills in Python, SQL, and machine learning algorithms.

Okay, I've searched for Summer Data Scientist roles in New York that are remote, targeting candidates pursuing a Master's or PhD in Data Science, requiring skills in Python and SQL, and focusing on machine learning algorithms. I've found 23 positions for you.

Summer Data Scientist

New York, NY

Remote

Master

Python

SQL

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

Sure. Here's the analysis:

Job Analysis:

The Summer Data Scientist Associate role at Lensa offers an exciting opportunity for aspiring data scientists to apply theoretical knowledge to real-world business challenges. At its core, this position is designed to bridge the gap between raw data and strategic insights through effective analysis and model development. Key responsibilities include performing ETL processes, aggregating data, and creating Python-based visualizations and models—demonstrating the necessity for technical acumen, particularly in Python and SQL, as well as a firm understanding of statistical methodologies. Candidates will likely encounter hurdles such as data quality issues and communication barriers with non-technical stakeholders, emphasizing the value of effective communication and collaboration. Success in this role will be characterized by the ability to deliver actionable insights through accurately developed models and engaging presentations, showing not only technical prowess but also a capacity for innovative thinking and a knack for refining problem-solving strategies within a collaborative team setting.

Company Analysis:

Lensa, as a pioneering company within the career technology space, is focused on transforming how job seekers connect with opportunities, positioning itself as a leader through its machine learning and candidate-focused platform. The company emphasizes a people-first culture, which aligns with its mission to simplify the job search process and enhance the experience for both candidates and employers. Given that Lensa is experiencing continual growth and innovation, particularly with its expanding team of developers and data scientists, this role is integral in driving analytics efforts that support business decision-making. Working alongside the data science team offers the candidate a collaborative environment steeped in a mission-driven culture that values creativity and strategic thinking. Moreover, the role's visibility to leadership, coupled with its engagement in cutting-edge data practices, suggests that it could present significant career development opportunities as Lensa continues to redefine its industry landscape.

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 communicate complex data findings to a non-technical audience. How did you ensure they understood your analysis?
Describe a project where you utilized Python for data analysis or machine learning. What challenges did you face, and how did you overcome them?
Can you provide an example of an ETL process you have worked on? What steps did you take to validate the data?
Have you ever faced a situation where your data-driven recommendation was met with skepticism? How did you handle it?
How would you approach feature engineering for a new dataset that you haven't worked with before?
What steps would you take to ensure that the machine learning models you develop are robust and suitable for deployment?
Imagine you're tasked with improving the accuracy of an existing model that's underperforming. What processes would you use to diagnose the issues?
If tasked with analyzing the trends in a dataset containing real estate transactions, how would you proceed?
Why are you interested in working with Lensa, and how does our mission resonate with your career goals?
How do you stay updated on advancements in data science and machine learning? Can you tell me about a recent trend you've found particularly interesting?
What do you think is the biggest challenge facing the real estate industry today, and how can data science help address it?
What do you think are the essential qualities for a data scientist working in a fast-paced, innovative company like Lensa?
Would you rather prioritize working on your individual projects or collaborating with a team? Why?
What questions do you have about the data science team and the projects you’d be involved in?

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.

New York, NY