AI Data Scientist

hace 4 semanas


Montevideo, Uruguay Blend360 A tiempo completo
Job Description

  • Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons  
  • Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps 
  • You will work as part of our global Data Science team to provide data driven AI solutions for our customers using state-of-the-art Machine Learning methods and tools. 
  • Create and maintain efficient data pipelines, often within clients’ architecture. Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies 
  • Assemble large, complex data sets from client and external sources that meet functional business requirements. 
  • Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.  
  • Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues  
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making 
  • Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools 
  • Document predictive models/machine learning results that can be incorporated into client-deliverable documentation 
  • Assist client to deploy models and algorithms within their own architecture 

Qualifications

  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field 
  • 3+ years Professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization 
  • Experience with LLMs and the ability to manipulate model parameters to achieve desired outcomes of text generation.
  • Solid Knowledge of and Experience with RAG models
  • Experience with one or more Advanced Data Science software languages (Python, R, SAS)  
  • Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches 
  • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive 
  • Experience with spark and data-frames in PySpark or Scala 
  • Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing. 
  • Comfortable with cloud-based platforms (AWS, Azure, Google) 
  • Experience with Google Analytics, Adobe Analytics, Optimizely a plus 
  • Demonstrated Experience with AI is a MUST

What about languages?

Excellent written and verbal English for clear and effective communication is a must



Additional Information

Our perks and benefits: 

Every day lunches (headquarters) 

  • Vegetarian, vegan, gluten and sugar-free options. 
  • Gourmet meals every Friday with our on-site chef 

⚖️ Flexible working options to help you strike the right balance. 

‍ All the equipment you need to harness your talent (Macbook and accessories). 

☕Snacks and beverages available everyday (headquarters). 

After office events, football, tennis and game nights (headquarters). 

  • Everyone is welcome to join our football league every Wednesday’s and Friday’s. 
  • Challenge your teammates to a pool game and win the office’s trophy 
  • Tennis courts available for friendly matches. 
  • You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join 

Learning opportunities: 

  • AWS Certifications (we are AWS Partners). 
  • Study plans, courses and other certifications. 
  • English Lessons. 
  • Learn from your teammates on our Tech Tuesdays 

‍ Mentoring and Development opportunities to shape your career path. 

Anniversary and birthday gifts. 

Great location and even greater teammates 


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