Data Science / ML Engineer (3+ year) | $30k-$40k | Blockchain

Job Title: Data Science / ML Engineer (3+ years)

Location: Africa , Asia (Remote) - ( MUST be comfortable with working in Eastern Time (USA) )

Work Experience (years) : 3+ Years

Annual Compensation : $30 - $40k USD / month

• Qualifications: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.
  
  

Responsibilities

• Product Development:
  
  

Release one new data product feature per quarter, focusing on AI, statistics, LLM, or customer satisfaction, with a satisfaction rate exceeding 80%.

• Model Development and Deployment:
  
  

Build and deploy at least three AI models per year, including those for price prediction, grading systems, NLP, and portfolio development, enhancing current performance by over 5% (target: 85%).

• Strategy Requirements:
  
  

Ensure all developed strategies: Outperform benchmarks for at least 85% of the assets. Support hourly updates with inference times under 15 minutes. Are thoroughly documented.

• Professional Development:
  
  

Stay current with crypto and AI advancements by engaging in at least two professional development activities annually.

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