Senior Data Scientist - Python (US Remote)

Remote positions open to the US only.

The Senior Data Scientist will work closely with the VP of Data & Analytics to implement advanced analytical models and other data-driven solutions.

Responsibilities:

• Work with stakeholders in marketing to identify opportunities to use available data to develop business solutions
• Enhance existing data collection procedures to ensure that all data relevant for analyses is captured
• Cleanse, consolidate, and verify the integrity of data used in analyses
• Build and validate predictive models to increase customer retention, revenue generation, and other business outcomes
• Assist in the design and data modeling of the data warehouse
• Visualize data, especially in reports and dashboards, to communicate analysis results to stakeholders
• Extend data collection to unstructured data within the company and external sources
• Develop machine learning driven products for internal use
• Perform ad-hoc analysis, presentations and other projects as required

 Required Skills: 

• Master’s degree in Statistics, Computer Science, Mathematics or other quantitative discipline. 
• Master’s degree – 3+ yrs in similar role: PhD – 2+ yrs
• Experience with statistical computer languages (Python, R etc.) to manipulate and analyze large datasets.
• Experience with databases, query languages, and associated data architecture.
• Experience with data visualization tools like Looker, Tableau, PowerBI, or Plotly
• Experience in professional application of machine learning algorithms such as Random Forest, SVM, k-NN, Naïve Bayes, Gradient Boosting. Deep learning frameworks (Keras/Tensorflow, PyTorch, etc.) is a plus
• Experience applying data science to marketing including attribution modeling, media mix modeling, and ROI analysis.
• Ability to communicate effectively with both technical and non-technical colleagues
• Experience with marketing automation platforms and/or CRM software is a plus (Hubspot, Salesforce, Marketo, etc.)
• Experience with AWS is a plus
• Professional experience with Python, including Python data libraries (numpy, pandas, matplotlib, scikit-learn, etc) 
• Build machine learning models (training, validation, and testing) with appropriate solutions for data reduction, sampling, feature selection, and feature engineering
• Design and evaluate experiments (including hypothesis testing) by creating key data sets
• Help grow the Data Science function by defining and socializing best practices, particularly within a DataOps and MLOps data ecosystem
• Document every action in either issue/MR templates or READMEs so your learnings turn into repeatable actions and then into automation
• Familiarity with the CRISP-DM analytics development model
• Experience working with a variety of statistical and machine learning methods (time series analysis, regression, classification, clustering, survival analysis, etc)
• Deep understanding of SQL in data warehouses (Snowflake and dbt) and in business intelligence tools (Looker)
• Extensive knowledge, application, and experience in creating and implementing recommendation systems, machine learning, NLP, statistics, and deep learning
• Ability to quantify improvements from business efficiency or customer experience based on research outcomes
• Expert understanding of statistics and the math behind data science algorithms
• Identify and spearhead new data science initiatives, projects, and collaborations that improve results
• Willingness to experiment and confront the hardest or most complex problems

The base pay for this position ranges from $135,000 - $150,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above.