Senior Data Analyst

3 days ago

Atlanta, Georgia, United States A Place For Mom Full time
About A Place for Mom

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions. As the nation's largest senior care advisory service, A Place for Mom helps hundreds of thousands of families every year navigate the complexities of finding the right senior care solution for their loved ones across home care, independent living, memory care, assisted living, and more.

Our employees live the company values every day:

  • Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
  • Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
  • Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
  • Win The Right Way: We see organizational integrity as the foundation for how we operate.
  • Embrace Change: We innovate and constantly evolve.
Job Summary

We are seeking a highly skilled Sr. Data Scientist to leverage advanced analytics and machine learning techniques to solve complex problems and provide actionable insights. As a key member of our team, you will work closely with cross-functional teams to influence business strategy and drive growth.

Key Responsibilities
  • Data Science/Machine Learning Model Management and Development
    • Maintain and manage legacy machine learning models.
    • Develop, enhance, and test new machine learning models to support business growth initiatives.
    • 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, and SQL for machine learning, data exploration, and analysis.
      • Basic understanding of R.
      • Familiarity with machine learning libraries and frameworks, including pandas, NumPy, seaborn, matplotlib, MLFlow, scikit-learn, TensorFlow, and PyTorch.
    • 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.
    Preferred Qualifications
    • Experience building models and developing solutions for Lead Scoring, Multi-Touch Attribution (MTA), and Marketing Media Mix Modeling (MMM).
    • Knowledge of visualization tools such as Tableau/PowerBI.
    • Experience working with data lakes and Databricks platform.
    • Familiarity with version control systems like Git.
    Compensation
    • Base Salary Range - $100,000 - $130,000
    • Bonus - 10% of annual earnings
    • Benefits
      • 401(k) plus match
      • Dental insurance
      • Health insurance
      • Vision Insurance
      • Paid Time Off

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