Search for Data Scientist positions in North Atlanta focusing on corporate finance, requiring at least 3 years of experience, with a preference for roles involving machine learning and Python proficiency.

Okay, I've searched for Data Scientist positions in North Atlanta within the corporate finance sector, requiring a minimum of 3 years of experience, and focusing on roles that involve machine learning and Python skills. I found 42 relevant job openings for you.

Data Scientist

North Atlanta, GA

Finance

3 years + Experience

Machine Learning

Python

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

Sure. Here's the analysis:

Job Analysis:

The role of Data Scientist - Strategy & Corporate Finance at McKinsey & Company is fundamentally centered around transforming complex data into actionable insights that drive strategic decision-making for clients in finance and related sectors. This entails close collaboration with multi-disciplinary teams, integrating deep statistical knowledge with business acumen to formulate innovative solutions. Main responsibilities include conducting domain research, performing advanced analytics, and leveraging generative AI techniques to enhance data products within the McKinsey Value Intelligence Platform. Candidates are expected to possess not only strong technical insights but also an entrepreneurial mindset and effective communication skills to liaise between various stakeholders, emphasizing the need for clarity in relaying complex analytical concepts. The inherent challenges in this role will likely include navigating ambiguity in data interpretation and aligning various teams toward a common strategic goal, making adaptability and problem-solving key components of success. Within the first 6-12 months, success might look like the delivery of impactful analytics solutions, the successful execution of prototypes, and a demonstrated ability to contribute to product development initiatives using cutting-edge AI methodologies.

Company Analysis:

McKinsey & Company stands as a preeminent global management consulting firm, where the confluence of strategy, data, and expertise strongly positions it as a leader in the consulting space. The firm embraces a culture of high-performance, emphasizing resilience and a commitment to growth both for staff and clients. This environment fosters innovation—central to the role of a Data Scientist, where driving impact through analytics is paramount. The organization's collective dedication to diversity and collaboration indicates a dynamic workplace that values diverse perspectives, vital for developing comprehensive, AI-driven insights. Within this context, the Data Scientist role will not only contribute to client projects but also interface with product and engineering teams, highlighting its integral position in creating innovative solutions. The strategic alignment with McKinsey's broader objectives—harnessing advanced analytics to enhance client engagement and deliver outstanding results—ensures that succeeding in this role leads to substantive contributions to the firm's progression and reinforces its status in the marketplace.

Mock up some interview questions based on the job description.

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

Behavioral Questions:
1. Tell me about a time when you had to analyze large data sets to inform a significant business decision. What was your approach and what were the outcomes?
1. Describe a situation where you faced ambiguity in a project. How did you manage it to achieve your objectives?
1. Can you provide an example of how you communicated complex analytical concepts to a non-technical audience? What strategies did you use?
1. Share an experience where you collaborated with cross-functional teams to deliver a project. How did you ensure everyone's contributions were integrated effectively?
Technical/Role-Specific Questions:
1. How would you apply machine learning techniques to address a specific challenge in corporate finance? Please walk us through your thought process.
1. Describe your experience with Python and relevant libraries in data analytics projects. Can you highlight a specific project?
1. How do you typically approach proof of concepts with experimental models, particularly in a fast-paced work environment?
1. Explain your experience with AI frameworks like TensorFlow or PyTorch. How have you used them in past projects?
Situational Questions:
1. Imagine you are tasked with developing an AI solution for a client facing challenges in data interpretation. What initial steps would you take?
1. If given incomplete data for a project, how would you proceed with the analysis while minimizing risks?
Company Fit/Motivation Questions:
1. Why are you interested in working at McKinsey & Company specifically, and how does this align with your career goals?
1. How do your personal values reflect the mission and culture of McKinsey, particularly in a consulting environment?
Questions for the Candidate to Ask the Interviewer:
1. What does success look like for someone in this Data Scientist role within the first 6–12 months?
1. How does McKinsey foster innovation within its teams, especially in relation to leveraging cutting-edge data science and AI methodologies?
1. Can you describe the mentorship and professional development opportunities available for data scientists at McKinsey?

Job Details

Overview Company

Data Scientist

McKinsey & Company

3 days ago

Highlight

OnsiteFull-time3+ yearsMid

Summary

McKinsey & Company is seeking a Data Scientist - Strategy & Corporate Finance to join their team in North Atlanta, GA. The role involves working with the Strategy and Corporate Finance practice to support client delivery teams with expert insights on companies and industries.

About the Role

As a Data Scientist, you will perform domain research, data extraction, transformation, and analytics to advance product offerings with new AI capabilities. You will support longer-term projects and shorter-term data analysis needs, including experimental testing with large language models, proof of concepts, and designing end-to-end solutions. Collaboration with cross-functional teams and effective communication of findings are key aspects of the role.

About You

Required:

Bachelor’s or advanced professional degree in data science, statistics, computer science or related field.
3+ years of professional work experience in a data science role; preference for experience in finance or related field.
Hands-on experience applying data science methods to business problems.
Exceptional problem-solving and analytical skills.
Strong sense of ownership and entrepreneurial mindset.
Good communication skills with proven ability to communicate analytical and technical concepts effectively.
Proficiency in Python and relevant libraries.
Proficiency in querying language like SQL.

Preferred:

Experience with AI and machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).

Benefits

Competitive salary based on location, experience, and skills.
Comprehensive benefits package including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

McKinsey & Company

McKinsey & Company is a global management consulting firm. We are the trusted advisor to the world's leading businesses, governments, and institutions.

We work with leading organizations across the private, public and social sectors. Our scale, scope, and knowledge allow us to address problems that no one else can. We have deep functional and industry expertise as well as breadth of geographical reach. We are passionate about taking on immense challenges that matter to our clients and, often, to the world.

We work with our clients as we do with our colleagues. We build their capabilities and leadership skills at every level and every opportunity. We do this to help build internal support, get to real issues, and reach practical recommendations. We bring out the capabilities of clients to fully participate in the process and lead the ongoing work.

Atlanta, GA