Search for Senior Data Scientist roles in Chicago, focusing on roles that require 3+ years of Machine Learning experience, Python proficiency, and offer full-time employment.

Okay, I've searched for Senior Data Scientist roles in Chicago that require 3+ years of Machine Learning experience, proficiency in Python, and are full-time positions. I have found 56 positions for you to review.

Senior Data Scientist

Chicago, IL

3 years + Experience

Machine Learning

Full-time

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

Sure. Here's the analysis:

Job Analysis:

The Senior Data Scientist role at Strike Social is fundamentally about leveraging advanced analytical techniques to optimize marketing technology solutions. This individual is tasked with collaborating closely with product development teams to design learning systems that enhance the performance of advertising campaigns across various platforms. The main responsibilities include developing algorithms, participating in the architecture of a closed-loop learning system, and engaging in agile software development practices. Success in this position involves not only technical prowess in Python and machine learning but also the ability to analyze complex problems and translate insights into actionable strategies. Candidates will likely face challenges such as navigating the vast array of data from different platforms and ensuring that the models developed remain relevant and effective in a rapidly evolving landscape. Therefore, a proactive approach to staying updated on emerging technologies and an innovative mindset are key to excelling in this role.

Company Analysis:

Strike Social operates in the dynamic marketing technology sector, characterized by rapid growth and innovation. As a leader in this field, the company's stature affords this role a significant degree of influence and visibility, allowing the Senior Data Scientist not only to contribute to but also shape the strategic direction of the company's data initiatives. The culture at Strike Social appears to be fast-paced and collaborative, as indicated by the emphasis on teamwork and the work-hard/play-hard environment. This suggests that individuals in this role will thrive if they can adapt quickly, be resourceful, and communicate effectively across diverse teams. With a focus on cutting-edge technology and a commitment to a flexible work environment, this position aligns well with the company's goals to push the envelope in advertising performance and drive customer success. Long-term potential lies in the opportunity to influence the development of innovative solutions that leverage machine learning for marketing optimization.

Mock up some interview questions based on the job description.

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

Describe a time when you had to analyze a complex dataset to derive insights. What was your approach and what did you discover?
Can you give an example of how you successfully implemented a machine learning model in a marketing context?
Tell me about a time you faced a significant challenge while working in an agile development environment. How did you handle it?
Explain how you ensure the algorithms you develop are effective and relevant in a dynamic market environment.
How do you approach problem-solving when faced with ambiguous data or unclear objectives in a project?
What steps would you take to design a learning system for optimizing campaign performance on a new advertising platform?
Describe your experience with implementing experimental data and modeling. How did it influence your project outcomes?
Imagine you are asked to collaborate with a product team that has differing priorities from your data objectives. How would you navigate this situation?
Why do you want to work at Strike Social specifically, and how do you think your experiences align with our mission?
What do you see as the most exciting emerging technology in data science today, and how do you think it can be applied in marketing technology?
Are there particular methods or frameworks you prefer for developing and deploying algorithms in a microservices environment?
How do you prioritize tasks and manage your workload in a fast-paced, high-pressure environment?
What questions do you have about our team dynamics and how we collaborate on projects?
How does your background prepare you for the specific challenges that come with this role at Strike Social?
What aspects of our company culture resonate with you, and how do you see yourself fitting into that framework?

Job Details

Overview Company

Senior Data Scientist

Lensa

3 days ago

Highlight

RemoteFull-time3+ yearsSenior

Summary

Strike Social is seeking a Senior Data Scientist to join their team in Chicago, IL. The role involves developing and implementing advanced machine learning models and algorithms to optimize marketing campaign performance.

About the Role

As a Senior Data Scientist, you will partner with product development teams to research, design, and implement learning systems that recommend, optimize, and predict marketing campaign performance. You will develop algorithms and models that inform customer activities, participate in the architecture and development of a closed-loop learning system, and provide technical leadership within the technology team.

About You

Required:

Bachelor’s degree or higher in a Quantitative field such as Computing Science, Statistics, Mathematics, Physics, or Engineering.
3+ years of strong mathematical and statistical data analysis experience.
3+ years of experimental data/modeling experience.
3+ years of Machine Learning experience including black box and bespoke solutions.
2+ years of language processing experience.
2+ years of Python development experience.
Experience with agile software development methodology and test-driven development.
Strong ability to analyze problems and formulate effective solutions.
Sharp critical thinking skills, including systems and business analysis, problem analysis and resolution, and sound judgment/decision making ability.
Proven ability to work in a rapid release product environment.

Preferred:

Masters or PhD in a Quantitative field such as Statistics, Mathematics, Physics, or Engineering.
Experience with contextual analysis and language processing.
Experience to develop and deploy Machine Learning and Algorithmic micro services.

Benefits

Flexible working hours.
Remote work is encouraged.
Fun, challenging, and rewarding work environment.

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