As a Sr. Data Scientist you will leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. You will work closely with cross-functional teams to influence business strategy and drive growth. You will lead efforts in developing models analyzing large datasets and communicating findings to stakeholders.
Who you are:
The ideal candidate is passionate about transforming data into knowledge leveraging data science skills for solving complex business problems to drive business action. You are comfortable confident and energized operating in a rapidly changing environment work well cross-functionally and communicate clearly. And you are passionate about the families and communities we serve.
Key Responsibilities
Data Science/Machine Learning Model Management and Development
- Develop enhance and test new machine learning models to support business growth initiatives.
- Design prototype and productionize LLM-powered solutions (e.g. retrieval-augmented generation summarization information extraction and classification) aligned to business use cases.
- Conduct deep dive analysis and identify variance drivers.
- Evaluate model performance and monitor for drift.
- Implement thorough testing and evaluation to ensure model and code quality.
Data Analysis and Visualization
- Create dashboards and visualizations to communicate insights.
- Provide clear and actionable reporting for stakeholders.
- Handle ad-hoc analytics requests to support business decisions.
- Perform exploratory data analysis to uncover trends and patterns.
- Ensure data quality through rigorous data collection cleaning and preprocessing.
Collaboration and Communication
- Work closely with product engineering and business stakeholders to understand requirements provide data-driven recommendations and influence strategy.
- Collaborate with cross-functional teams to advance data and analytics capabilities.
- Identify opportunities to enhance data modeling and testing platforms.
- Communicate the value of data analytics to non-technical teams and guide them in applying insights.
Qualifications :
- Educational Background: Degree in Computer Science Data Science Statistics or a related quantitative field.
- Experience: 6 years of experience in data science/analytics roles with a minimum of 3 years focused on data science/machine learning modeling.
- Technical Skills:
- Strong proficiency in Python PySpark for machine learning data exploration and analysis.
- Strong SQL skills with expertise in handling complex SQL scripts.
- Familiarity with machine learning libraries and frameworks including pandas NumPy seaborn matplotlib MLFlow scikit-learn TensorFlow and PyTorch.
- Experience with fine-tuning prompt engineering and deploying LLMs in production environments.
- Data Handling: Experience working with large semi-structured datasets.
- Modeling Expertise: Proven experience in predictive modeling machine learning techniques and developing robust data science models.
- Communication: Ability to simplify and communicate complex data and advanced analytics to stakeholders in an actionable manner.
- Statistical Proficiency: Proficiency in A/B testing and strong knowledge of Bayesian and frequentist statistics including concepts such as correlation regression and hypothesis testing.
- Ideally open to working in Eastern or Central time zone.
Preferred Qualifications
- Knowledge of visualization tools such as Tableau/PowerBI.
- Experience working with data lakes and Databricks platform.
- Familiarity with version control systems like Git.
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Compensation
- Base Salary Range - $115000 - $125000
- Bonus - 10% of annual earnings
- Benefits:
- 401(k) plus match
- Dental insurance
- Health insurance
- Vision Insurance
- Paid Time Off
Additional Information :
A Place for Mom has recently become aware of the fraudulent use of our name on job postings and via recruiting emails that are illegitimate and not in any way associated with us. APFM will never ask you to provide sensitive personal information as part of the recruiting process such as your social security number; send you any unsolicited job offers or employment contracts; require any fees payments or access to financial accounts; and/or extend an offer without conducting an interview.
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All your information will be kept confidential according to EEO guidelines.
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Yes
Employment Type :
Full-time