Machine Learning Engineer Big 4

• 5 years of industry experience and an advanced degree in Business Analytics or other (Masters or PhD is a plus) in a quantitative field (e.g. Statistics Econometrics Computer Science Engineering Mathematics Data Science Operations Research).
• Good communication and collaboration skills with the ability to work effectively with internal teams in a crosscultural and crossfunctional environment. Ability to perform rigorous analysis and communicate conclusions to both technical and nontechnical audiences.
• Knowledge on SEO tools and best practices
• Proven track record of delivering full stack data projects from inception to business impact.
• Advanced level proficiency in SQL/NoSQL programming languages such as Python R SAS and Intermediate level knowledge of data foundations and databases like Presto Hive Teradata Spark.
• Familiarity with EDA hypothesis testing significance testing linear regression logistic regression SVM ridge regression lasso regression random forest NLP KNN KMeans A/B testing multivariate testing and digital funnel testing.
• Knowledge of BI tools like Tableau or superset to develop reports and dashboards.
• Have a positive and solutionoriented mindset with an ability to maintain confidentiality and objectivity.
• Exceptional problemsolving abilities selfmotivation and ability to work autonomously strong organizational and time management skills with the ability to manage multiple priorities and meet deadlines.
• Exposure to travel industry digital or an eCommerce domain is a plus.

python,machine learning,analytics,r,sas,presto,hive,teradata,spark