Search for Data Scientist roles in Chicago, focusing on positions requiring 5-10 years of experience, specifically in the banking or financial sectors, and utilizing SQL and Python.

Okay, I've searched for Data Scientist roles in Chicago, targeting positions with 5-10 years of experience in the banking or financial sectors, and require skills in SQL and Python. I have found 75 positions for you.

Data Scientist

Chicago, IL

5-10 years

Financial Services

SQL

Python

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

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Lensa is fundamentally about leveraging data to drive insights and business decisions that align with Lensa's mission of transforming the job search experience. The primary responsibilities include utilizing statistical software tools to analyze large datasets, develop predictive models, and create robust analytical frameworks within the context of Lensa's technology-driven platform. Candidates will face the challenge of turning complex data into understandable narratives that can influence recruitment strategies and improve the matching process for employers and job seekers alike. Success in this role will require a solid understanding of both technical proficiencies, such as SQL and Python, and the ability to communicate findings effectively to non-technical stakeholders. As a data scientist, one will need to operate with a high degree of autonomy, navigating ambiguous situations and identifying trends in data that can enhance Lensa's offerings. Within the first 6-12 months, performance will likely be measured by the ability to produce actionable insights that lead to improved job matching outcomes and increased overall user satisfaction.

Company Analysis:

Lensa operates within the recruitment technology sector and positions itself as an innovative leader, uniquely using machine learning to streamline the job search process. As a rapidly growing company, Lensa's focus on algorithm-driven career solutions places a premium on data analysis roles, making them pivotal in driving strategic initiatives. The company culture appears to be data-centric and innovation-driven, likely emphasizing agility, collaboration, and a commitment to enhancing user experiences. Given the scale of its operations, this position may involve working closely with a diverse team of developers and data scientists, offering significant visibility and opportunity to influence key business outcomes. The strategic alignment of the Data Scientist role is clear; it aims to refine predictive modeling capabilities that feed into Lensa's growth objectives while positioning the company as a talent acquisition innovator. Overall, the environment is likely fast-paced, requiring a proactive approach to problem-solving and adaptability amidst evolving business needs.

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 use data to solve a complex problem. What approach did you take?
Describe your experience with building predictive models using Python. What methodologies have you found to be most effective?
Can you share an example of a project where you had to present your data findings to a non-technical audience? How did you ensure they understood your insights?
How do you prioritize your tasks when working on multiple analytical projects with tight deadlines?
What is your experience with SQL? Can you walk us through how you would write a query to extract specific insights from a large dataset?
How would you approach developing a new model to improve job seeker matching based on existing data?
If you discovered a significant trend in the data that contradicted your initial hypothesis, how would you report this to your team?
Imagine you are facing inconsistencies in a dataset that you are analyzing for a critical project. What steps would you take to address this issue?
Why are you interested in working at Lensa specifically, and how do you see yourself contributing to its mission?
What about our company culture resonates with you, and how do you think it aligns with your personal work style?
What specific achievements in your previous roles do you believe will translate well to the challenges you might face at Lensa?
What technological or analytical advancements are you most excited about that could impact the recruitment industry?
What questions do you have about our team structure and how this role interacts with other departments?
How does the idea of using gaming to assess work styles align with your thoughts on innovative recruitment strategies?
What specific skills or experiences do you think are necessary for a Data Scientist to thrive at Lensa?

Job Details

Overview Company

Data Scientist

Lensa

3 days ago

Highlight

OnsiteFull-time, Contractor5+ yearsMid

Summary

Lensa is seeking a Data Scientist to join their team in Chicago or North NJ (near Newark). The role involves working with large data sets to extract business insights and build predictive models.

About the Role

As a Data Scientist, you will be responsible for using statistical software tools to analyze data, develop analytical models, and provide business insights. You will work with large data sets and use tools like Python, Scala, R, SPSS, or SAS to support business analytics, forecasting, and planning.

About You

Required:

Minimum 5-10 years of hands-on experience with statistical software tools: SQL, R, Python.
3+ years of experience in business analytics, forecasting, or business planning.
Proficiency in one or more statistical tools/languages - Python, Scala, R, SPSS, or SAS.
Experience working with large data sets to extract business insights or build predictive models.
Good data intuition and analysis skills; SQL, PL/SQL knowledge.

Preferred:

Experience in the Banking/Financial Sectors.

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.

Chicago, IL