Senior Data Scientist

YOUR MISSION: Provide the best roadside assistance experience to stranded drivers in need and dispatch experience to our service providers. You will build systems to forecast market dynamics, vet and test business ideas using A/B testing framework and improve machine learning algorithms. Working at the intersection of Product, Data Engineering, and Platform Engineering, you will develop data products and shape product strategy for our business units, stakeholders and partners. 

YOUR LEGACY: Throughout your journey at Urgently, you have contributed to foundational machine learning systems in our data pipeline. As an expert in our proprietary data, you have developed product enhancements, strategy and support leadership in pursuing new opportunities and identifying risks. Your work accelerated the company's growth, reduced costs and innovated in the mobility space.  The result?  You helped Urgently become the world’s leading mobility assistance company.   
 

Interview Process you can expect: 

• Initial Interview 
• SQL assessment 
• Machine Learning assessment 
• Interview with Principal Product Manager 
• Interview with Sr. Director of Product 
• Final Interview with Chief Data Officer 

WHAT YOU’LL BE RESPONSIBLE FOR:  

1) First 3 months: 

• Understand the roadside assistance business and the company’s software 
• Understand the goals and responsibilities of Product Management 
• Understand how the applications interact with the data 
• Understand existing data science models and any caveats on those models.  

2) Next 2-6 Months: 

• Build best-in-class predictive models and decision tools 
• Research & Development in transportation or roadside industries to improve cost and performance 
• Prioritize and balance data science research and speed of its implementation  

3) Ongoing:  

• Develop Proof-of-Concept ideas using data, data science and human behavior to improve our business processes 
• Identify issues and recommend testable improvements to different aspects of the business 
• Work with data engineering and infrastructure to get the data you need 
• Build and improve algorithms, ML pipelines and deploy them into production. 
• Scale production ML code 
• Measure the impact of your work Use effective project and product planning technique to distill user requirements into its manageable components 
• Be a self-starter 
• Able to work independently and know when to reach out to stakeholders and teams for clarification 
• Work closely with manager and team to align work with business expectations 
• Communicate findings and quantify the improvements 
• Success metric = Everyone in the business should see what the development pipeline looks like and how it solves their issues. 

WHO YOU ARE: 

• You have a Bachelor’s Degree (Masters preferred) in a STEM or related quantitative field (economics, social sciences, finance).  
• You have proven 4+ years of experience in using statistical and predictive modeling to algorithmically nudge human behavior in a desired direction. You are obsessed with data and want to know how things work under the hood. 
• You have proven experience in working with large datasets in a cloud environment. You worked with data in many forms in structured and unstructured formats (Redshift/Postgres/MySQL or DynamoDB databases). You have worked with large datasets in streaming format, large tables or flat files and have used big data tools (i.e. SageMaker, EMR, Spark) in AWS (Amazon Web Service). 
• You are adept at coding and developing prototypes. You have built machine learning models in Python, Jupyter Notebooks, AWS Sagemaker or related technology. 
• You are an expert at SQL. You can move data from csv file into the data warehouse using AWS and write queries to answer product and business questions. 
• You have previous experience developing and maintaining data pipelines. You have implemented ML Systems from automated training, modeling, serving, and modeling, and have experience building a market place to find the market clearing events. 
• You have previous experience applying modeling techniques such as classification/regression, spatial analysis, and time series analysis. You have used location-based data to solve the optimization of complex customized networks in the mobility space. An understanding on how to use Uber H3 hexagons is a plus. 
• You have designed A/B experiments and can evaluate its effectiveness with statistical hypothesis testing and analysis. You have guided business stakeholders to design improvements to the business, quantify the impact, and provide counterfactual analysis. 
• You have outstanding written and verbal communication skills. You can effectively communicate a complex data science concept simply in writing and in meetings. Your writing can move an audience to a clear decision. You work well in a fast-paced changing environment and can work with both technical and non- technical stakeholders. 
• You are well-rounded. You are a technical expert in data science and programming. You can express your ideas by building models, data analyses and visualization. You are self-directed, can identify areas of improvements and ask the right questions. 

THE NITTY GRITTY: 

• Location = Great news!  This position is remote and you have the option of working from anywhere in the U.S.!  
• Manager = You’ll report to Chief Data Officer 
• Compensation = The base salary range for this position is $125,000 - $140,000. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by job-related skills, experience, and relevant education or training. 
• Benefits = At Urgently, we have awesome benefits!  We provide short term disability, long term disability, and life insurance to you - all free of charge! We also offer three different medical plans to choose from, two dental plans , a vision plan, and other valuable benefits. You’ll have 12 holidays off and unlimited paid time off.  We match 100% on the first 3% you contribute to our 401(k)and then 50% of the next 2% you contribute. So, if you contribute 5% of your paycheck, we’ll match 4% of that.  Free money!