Data Scientist I

• Build an end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign
• Look for opportunities to build solutions that would differentiate MiQ from competitors by researching cutting edge AI techniques and technologies
• Focus on ML/AI solutions that scale - from tech as well as functional point of view
• Bring innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc.

• Account Managers / Traders / Sales / Analysts: The Data Scientist builds solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and The data scientist usually does not directly collaborate with these customers and the market requirements and solution feedback is through Product Management team
• Product Management: The Data Scientist builds solutions prioritized as part of the Product roadmap

• Experience in applying machine learning, statistical pattern recognition, and data mining algorithms to predict
• Strong Experience with at-least one programming language - g. Java, Python, R
• Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark
• Write optimized and advanced SQL queries to extract, transform, and analyze large datasets
• Translate mathematical concepts (linear algebra, probability, optimization) into practical model implementations
• Extreme attention to detail, ability to meet deadlines and priorities
• Strong written and verbal communication skills
• A can-do attitude, with a dream to grow alongside

Benefits

• A hybrid work environment
• New hire orientation with job specific onboarding and training
• Internal and global mobility opportunities
• Competitive healthcare benefits
• Bonus and performance incentives
• Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion