Data Science ML Engineer 3 year 30k-40k Blockchain

• Release one new data product feature per quarter (including AI statistics LLM or customer satisfactionrelated features) with customer satisfaction over 80%.
• Build and deploy at least three AI models per year (covering price prediction grading systems NLP and portfolio development) that improve current performance by over 5%.
• Ensure all strategies developed:
• Beat the benchmark for at least 85% of the assets.
• Allow for hourly updates with inference times under 15 minutes.
• Are comprehensively documented.
• Stay abreast of the latest developments in the crypto and AI fields by participating in at least two professional development activities per year.

• A higher degree (M.S. or equivalent) in Data Science Operations Research or AI
• Proficiency in Python and Data Science libraries (numpy pandas matplotlib sklearn pytorch...) SQL and Databases including Cloud databases
• 3 years of work experience in a Data Science/ML Engineer position
• Expertise in Machine Learning and Deep Learning including Forecasting models Classification models Regression models Natural Language Processing Price prediction and Clustering Analysis. Knowledge of Statistical Analysis and Data Analysis including Hypothesis testing ANOVA and Visualization.
• Important knowledge of Financial market and if possible digital assets market including Blockchain and Investing.
• Bonus points for experience in Cloud computing AWS GCP Azure Apache Airflow and deployment as well as Big Data and Cloud Data Lake.

operations research,forecasting models,machine learning,regression models,financial market knowledge,big data,cloud databases,hypothesis testing,ml,python,databases,blockchain knowledge,nlp,sql,classification models,data science,investing,predictive analytics,visualization,gcp,financial market,price prediction,anova,natural language processing,aws,forecasting,apache airflow,cloud data lake,blockchain,ai,cloud computing,statistical analysis,crypto,clustering analysis,azure,deep learning,data analysis