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Data Scientist II

St. Jude Children's Research Hospital

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Data Science

Memphis, TN, USA

Posted on Saturday, May 4, 2024

At ALSAC you do more than make a living; you make a difference.

We like people who are different…because we’re different, too. As one of the world’s most iconic and respected nonprofits, we know what it’s like to stand out. That’s why we’re looking at you. Your background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family. Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission: Finding cures. Saving children.®

Job Description

As a Data Scientist II, you will be at the forefront of solving complex business problems. Your work will involve:

Machine Learning Modeling:

Develop and implement machine learning models to extract valuable insights from large and diverse datasets.
Collaborate with cross-functional teams to identify business opportunities and design ML solutions.

Data Exploration and Preparation:

Dive deep into data to understand patterns, anomalies, and trends.
Clean, preprocess, and transform data for analysis.

Hypothesis Management and Problem Analysis:

Formulate hypotheses and design experiments to test them.
Analyze results and provide actionable recommendations.

Data Collection and Integration:

Work with internal and external data sources to gather relevant information.
Integrate disparate data sets for comprehensive analysis.

Operationalization:

Translate ML models into production-ready solutions.
Collaborate with engineering teams to deploy and monitor models.

Mentorship and Collaboration:

Mentor junior analysts and contribute to knowledge sharing within the data science community.
Collaborate with divisional leads to optimize campaign performance, investments, and organizational strategies.

Qualifications:

Experience: 7+ years of relevant project experience in measurement and analysis, quantitative business problem-solving, solutions implementation, operations analysis, marketing analysis, simulation development, and/or predictive analytics.
Analytical Skills: Demonstrated superior analytical skills with diverse data types and statistical software.
Technical Proficiency:
- Proficient in Python scripting, R, SPSS, Jupyter notebooks, and ETL processes.
- Familiarity with data visualization tools (e.g., Power BI, Tableau).
Statistical Knowledge:
- Clear understanding of statistics, including hypothesis testing, p-values, confidence intervals, regression, classification, and optimization.
Problem-Solving: Strong algorithmic problem-solving skills.
Communication: Outstanding interpersonal, written, and oral communication skills.
Leadership: Proven project leadership skills.
Agile Methodologies and DevOps/MLOps:
- Adept in agile methodologies and well-versed in applying DevOps/MLOps methods to construct ML and data science pipelines.
Business Function Experience:
- Demonstrated project experience in applying ML and data science to business functions.
Strategic Impact and Education:
- Prefer candidates who have been instrumental in launching at least 3 significant data strategies, including the financial and/or strategic impact of these projects.
- Alternatively, candidates with a master’s or Ph.D. in Economics, Statistics, Engineering, Physics, Bioinformatics, Computer Science, or Mathematics.
Project Coordination:
- Demonstrated ability to coordinate large data science projects across diverse teams.

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Benefits & Perks

The following Benefits & Perks apply to Full-Time Roles Only.

We’re dedicated to ensuring children and their families have every opportunity to enjoy life’s special moments. We’re also committed to giving our staff excellent benefits so they can do the same.

Core Medical Coverage: (low cost low deductible Medical, Dental, and Vison Insurance plans)
401K Retirement Plan with 7% Employer Contribution
Exceptional Paid Time Off
Maternity / Paternity Leave
Infertility Treatment Program
Adoption Assistance
Education Assistance
Enterprise Learning and Development
And more

ALSAC is an equal employment opportunity employer.

ALSAC does not discriminate against any individual with regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, transgender status, disability, veteran status, genetic information or other protected status.

No Search Firms:

ALSAC does not accept unsolicited assistance from search firms for employment opportunities. All resumes submitted by search firms to any ALSAC employee or ALSAC representative via email, the internet or in any form and/or method without being contacted and approved by our Employee Experience team and without a valid written search agreement in place will result in no fee being paid if a referred candidate is hired by ALSAC.