Singular is the next-gen attribution and marketing analytics platform, giving marketers actionable insights from previously siloed data. Collecting, aggregating, normalizing, and combining marketing data from various sources. We have great customers, including leading companies like Lyft, Warner Bros, Airbnb, Yelp, LinkedIn, Microsoft, Zynga, Match, and Twitter.

We are looking for a Data Scientistto build advanced measurement models and extensive data analysis to enrich our product experience and value. We will rely on you to develop intelligent algorithms and models that will be added to our product and used daily by our customer base worldwide. 

In this role, you should be experienced with big-data analysis and machine-learning models and how to use and apply them. Critical-thinking and problem-solving skills are essential, as well as the ability to scrutinize product thoughts and take a significant part in understanding product value. We want to see a passion for research since this role will also take part in high-risk projects in which we’ll want to understand product value early in the process. 

Your goal is to join our R&D and help us improve our product to offer advanced data analysis and measurement techniques to our customers. 

Responsibilities

• Take part in our advanced measurement product offering
• Build media-mix models (MMM) - Continuously research the best approach and how to improve accuracy and value
• Help develop our market benchmarks feature - Analyze large amounts of information to discover trends and patterns
• Build intelligent algorithms to enrich the data
• iOS14 and above presented a lot of privacy-related limitations and changes - working in a changing industry is challenging and exciting. 
• Work on data analysis to estimate and predict users' behavior 
• Build pLTV models (predicted lifetime value)
• Undertake to preprocess structured and unstructured data
• Collaborate with engineering and product development teams

Requirements and skills

• Minimum 2 years of proven experience as a Data Scientist
• Understanding of machine-learning and operations research
• Knowledge of SQL and Python; familiarity with other databases is a great advantage
• Experience using business intelligence tools (i.e. Tableau) is a great advantage
• Analytical mind and business oriented approach 
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Great communication and presentation skills
• BSc/BA in Math / Statistics / Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred