Data Scientist

At Expa we're committed to being the prime spot for entrepreneurs to cultivate and develop businesses. Expa was launched in 2013 by the co-founder of Uber, Garrett Camp, with a mission to help turn great concepts into reality. We, ourselves, are builders, founders, and operators, well-aware of the challenges encountered when starting a new business, and the essential requirements to prevail. Our support for entrepreneurs goes beyond funding - we provide a beneficial network, office space, as well as our counsel and proficiency. Expa Studio combines technical and design skills, operational aid, and capital to transform daring ideas into category-leading companies.

Your role

We are seeking a Data Scientist for a novel studio company tasked with research and financial tasks concerning enterprise businesses. They will support our product, sales, and management teams with insights gained, and associating them directly to a specific product idea (e.g., understanding business basics of various market sectors across an array of investment and operational criteria). The key to excel in this role is conducting outstanding analysis, modeling data, transforming the analysis into informed decisions, and then scrutinizing those decisions in real-world situations.

The ideal candidate will be proficient at utilizing large data sets to discover opportunities for product and process optimization and using models to test the effectiveness of different approaches. They must have robust experience using several data mining and data analysis methods. The potential candidate should be skilled in using a variety of data tools, building and implementing models, creating executable algorithms, and setting up/running simulations. They must have a robust track record of driving business results with their data-driven insights. They should be comfortable collaborating with a broad range of stakeholders and functional teams. The correct candidate will have a passion for uncovering solutions buried in large data sets and collaborating with stakeholders to enhance business outcomes.

Your recommendations, rooted in robust analytics and quantitative modeling, will help discern how we enhance our products. You'll be collaborating with a top-notch team who have created and dispatched products valued over $8B till date.

Responsibilities

• Collaborate with stakeholders across the organization to identify opportunities and utilize data to drive business solutions.
• Extract and analyze data from databases to drive optimization and improvement in product development, marketing techniques, and business strategies.
• Evaluate the effectiveness and precision of new data sources and data gathering methods.
• Create custom data models and algorithms to apply to data sets.
• Utilize predictive modeling to enhance and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop procedures and tools to oversee and analyze model performance and data accuracy.
• Conduct research, compile data about industry and customer trends.
• Assist in identifying workflows and processes.
• Apply your expertise in analysis, data mining, and data presentation to see beyond numerical data and comprehend how potential users will interact with our products.
• Provide analytical support to stakeholders across various fields (Product, Engineering, Design, UX, and others).
• Create financial and business models, matrices, and other basic tools to help team members analyze business needs.

Qualifications

• Strong problem-solving skills with an emphasis on product development.
• Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Familiarity with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/disadvantages.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with their applications.
• Excellent written and verbal communication skills for coordinating among teams.
• An eagerness to learn and master new technologies and techniques.

Your Experience

• You are a motivated professional with a degree in Statistics, Mathematics, Computer Science, or another quantitative field.
• 2-3 years of experience manipulating data sets and creating statistical models.
• Programming knowledge and experience with several languages including: C, C++, Java, JavaScript, etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience in querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Experience in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Experience in analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience in visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
• Excellent written and verbal communication skills.
• A keen focus on details.

This is a full-time position with a in the range of $100,000 - $120,000, which will be determined by various factors like work experience, skills, location, and the degree of maturity of our project. We're a small team, keen on spending as much time iterating in these early stages of the idea. Therefore, the expectation for the Data Scientist role is that you will report to our West Hollywood office on a daily basis (Monday-Friday).