Sr. Marketing Data Scientist

Key Skills

Analytical and Problem solving, AWS, Bayesian networks, JavaScript, MLflow, Python Programming, R Programming, Regression Analysis, SQL, Tableau

Job Description

About SimpliSafe

We’re a high-tech home security company that’s passionate about protecting the life you’ve built and our mission of keeping Every Home Secure. And we’ve created a culture here that cares just as deeply about the career you’re building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don’t just want you to work here. We want you to grow and thrive here.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday and Wednesday, working together in person and choose where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we relentlessly pursue our goal of ensuring everyone feels safe in their own home.

Job Description

SimpliSafe’s Marketing Analytics team is looking for a Senior Data Scientist to build models that will advance our forecasting methods and improve marketing effectiveness. In this role, you will have the opportunity to build econometric and propensity models (amongst others), measure channel incrementality and design an advanced attribution model.

This is a unique opportunity to own the full lifecycle of model development from ideation and data exploration, algorithm design and testing, algorithm development and deployment, to monitoring and tuning in production. You will collaborate with analysts, data scientists, engineers, and product managers to expand SimpliSafe’s modeling capabilities.

Your work will have a direct impact on Marketing’s performance and the company’s overall business success. Your responsibilities will include:

What You'll Do

• Forecasting
• Utilize SimpliSafe data sources to help define opportunity areas for forecasting
• Implement and validate predictive and statistical models with a focus on harnessing the power of internal and external data for model tuning
• Carry out model validation and model tuning/optimization as part of the natural model life-cycle
• Partner closely with cross-functional teams to design statistically sound A/B and multivariate tests to validate hypotheses with rigor
• Research and identify relevant machine learning techniques to advance forecasting modeling and drive future business growth
• Attribution
• Help evolve how we attribute sales to marketing channels by leveraging existing models, analyses and test results
• Partner closely with stakeholders to define and build an attribution model tailored to measuring channel incrementality
• Quantify the impact of different attribution models through rigorous testing and experimentation
• Collaborate on data segmentation and optimization strategies to improve audience targeting and advertising effectiveness
• Support internal research into new methodologies for experimentation in the advertising space
• Additional projects will be focused on utilizing causal inference techniques to inform our marketing solutions, optimize strategies and drive efficiency.

What You'll Bring

• MS in a quantitative field (Computer Science, Statistics, Mathematics, etc.) and 3-5 years of working data science experience or BS in a quantitative field and 5-7 years of working data science experience
• Expert in Python, MLflow, SQL, and statistical modeling
• Prior experience in building, deploying and maintaining a Media Mix Model
• Self-starter who can work independently in addition to collaborating with analysts and business stakeholders
• Experience working with attribution and forecasting models - with knowledge of different approaches such as time series, causal, ridge regression, Bayesian
• Strong analytical and creative problem-solving skills
• Extreme attention to detail but with the ability to work collaboratively in a dynamic, cross-functional environment
• Excellent communication skills with the ability to synthesize concepts for non-technical audiences and effectively engage partners across all levels of the company
• Knowledge of the marketing ecosystem (like digital footprint mechanisms) and relevant marketing measurement methods is a plus

What Values You'll Share

• Customer Obsessed - Building deep empathy for customers and developing strong, long-term relationships with them.
• Aim High - Always challenging oneself and others to raise the bar.
• No Ego - “no job too small” attitude, and open, inclusive and humble style.
• One Team - highly collaborative approach to achieving success.
• Lift As We Climb - A track record of investing in developing others and helping others succeed.
• Lean & Nimble - working with agility and efficiency to experiment in an often-ambiguous environment.