Data Scientist - Chicago, United States - William Blair

Description

Company Description:
Solutions for Today's Challenges. Vision for Tomorrow's Opportunities.


Join the Premier Global Boutique:
William Blair.

At William Blair, serving our clients starts with the capabilities and collaboration of our team—making our employees our most important asset.

Unlike others, we're an independent partnership that is personally committed to our people and clients. What sets us apart is the way we do it—our culture, our values, and our commitment to local communities.

We strive to attract the most qualified, passionate candidates who specialize in investment banking, investment management, private wealth management, and a variety of other business functions.

Currently, our firm has more than 1,900 employees throughout North America, Europe, Asia and Australia.

A top priority of ours is talent development, fostering professional and personal growth of our employees.

We take pride in empowering our people to bring their best thinking each day so we can deliver the tailored, thoughtful work and problem-solving abilities that our clients have come to expect.

We work tirelessly to create an inclusive culture.

Our employees have unique experiences, perspectives and backgrounds to thoughtfully meet the evolving challenges and opportunities facing our global client base amid dynamic market conditions and varying industries, whether technological, economic or geopolitical.

We are equally proud of our long-term partnerships with the communities in which we live and work, a legacy we inherited from our founder more than 85 years ago.

For more information about our firm, log onto


About the Team:

The Information Technology team has the mission of becoming a true business partner and we are searching for a Data Scientist to help execute on this mission.

The Data Scientist will use data analysis to understand customer profiles, produce reports to track our business, build models to provide insight into our business and customer base, identify opportunities, and impact the strategy of business to drive growth and achieve productivity gains.

Ideal candidates love breaking down problems, building solutions, delivering actionable and data-driven insights, and working in a fast-paced, dynamic environment.

Job Summary & Responsibilities:
Analyze structured and unstructured data to understand how our customers interact with our product and service offerings
Proactively identify opportunities to improve the experience of businesses users and end clients that can become a value driver
Perform the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendations
Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
Design and execute experiments (e.g., A/B testing)
Effectively communicate insights and recommendations to business leads and influence strategic decision-making
Frequently switch between on-the-ground tactical execution and high-level strategy view


Qualifications:
Masters in a quantitative discipline like Data Science, Analytics, Math, Statistics, Economics, Computer Science, Physics, Engineering, Operations Research, or equivalent training (GitHub Portfolio)
3-5 years of experience in a data science capacity in a business strategy, marketing, finance, engineering, or analytics organization
Experience with data querying and manipulation using SQL and Python
Ability to execute on tasks with little overhead
Experience with data analysis and statistical modeling using the Python ecosystem, with packages such as numpy, pandas, statsmodels, scikit-learn, etc
Experience working with various machine learning / deep learning algorithms and frameworks
Experience with data discovery and visualization tools
Communication and presentation skills
Self-starter, comfortable with ambiguity, ability to initiate and drive projects with minimal oversight and guidance
Proven track record of leveraging data to deliver business value and present data-driven insights to business audiences
Experience building cross functional relationships across a variety of functions to launch projects to drive business value
Experience communicating with and influencing technical and non-technical audiences (engineers, data scientists, program managers, bankers, financial advisors)
Experience developing data pipelines via SQL and Python-based ETL framework
Experience with LLMs and OpenAI apis
Experience shipping code into production
Experience writing testable code
Comfortable using version control tools such as git or mercurial
Experience with cloud technology stack like Azure, AWS

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