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Data Scientist

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Advanced skills using SQL, Deep knowledge in Python, Extensive experience in ETL Pipelines, Proficient with Looker, Sigma, Snowflake, AWS, Advanced English proficiency.

Key responsabilities:

  • Understand data/reporting requirements from stakeholders
  • Perform advanced SQL querying and debugging
  • Build, update, and productionize dashboards
  • Implement data quality checks and monitoring routines
  • Document models, solutions, and conduct A/B experiments
VASS LATAM logo
VASS LATAM
1001 - 5000 Employees
See more VASS LATAM offers

Job description

Are you a Data scientist looking for a new great challenge? If you are looking for a great team with a high technical level, where proactivity and the desire to do different things are valued.

THIS IS YOUR PLACE!

We are leaders in digital solutions with 25 locations on 5 continents and a team of more than 4,500 people. We support large companies and public administrations in their end2end digital transformation process, developing and executing the most innovative and scalable projects from strategy to operation.

All this growth is based on talent and passion for innovation and continuous improvement, always in our way: simplifying the complex 🀘

What You’ll Do

  • Work with business partners and stakeholders to understand data/reporting requirements.
  • Day-to-day advanced SQL querying from scratch, debugging
  • Build, update, & productionize dashboards & ETLs
  • Work with engineering, product teams, and 3rd parties to collect required data
  • Develop and implement data quality checks, conduct QA, and implement monitoring routines.
  • Document new and existing models, solutions, and implementations
  • Setup, analyze & evaluate A/B experiments
  • Provide descriptive analysis and sizing


Requirements

What you should know to succeed in this role:

  • Advanced skills using SQL
  • Deep knowledge in Python
  • Extensive experience in ETL & Pipelines
  • Looker, Sigma, Snowflake, AWS
  • Advanced English


A good portion of this work will be helping the Client refresh/modernize their current dashboards. They have many outdated dashboards that aren't being utilized, leveraging the wrong data, etc. This person will work closely with the business and data science teams. Experience working cross-functionally is important.

Do we share the same DNA? We do, if:

  • You are flexible and purpose-oriented
  • You have a creative and innovative mind
  • You feel confident and enjoy what you do
  • You are autonomous and have a self-driven personality


Benefits Of Working Together

πŸ–οΈ Law benefits

πŸ‘©πŸ»β€ Medical insurance

πŸ›« Work in national & international projects

πŸ‘©πŸ»β€πŸ« English classes

πŸ‹πŸ»β€ Gym pass with exclusive prices

πŸ’² Referral bonus

πŸ›« International Mobility

πŸ“š L Language classes, technical certifications, and Access to open webinars and Udemy

πŸ˜€ Great work environment; our teams make it possible!

πŸ’Ό Work from home and flexible hours

🌟Various health and wellness initiatives with our VASS Care program

🧠 Stability and future projection through the professional development plan

πŸ“ˆ You will be part of a dynamic company that is constantly growing

πŸ’» You will participate in projects with cutting-edge technologies

🧩 You will be part of a young, multifunctional, and autonomous team

πŸ₯‡ You will be part of a large team of high-level professionals whose motivation is contributing value to daily work and professional excellence

If you want to join a dynamic company where technological challenges will be found daily, we await you in the great VASS team.

We want you to be the best version of yourself. YOUR TALENT IS OUR DNA 🀘

Welcome to your future!

VASS is proud to be an Equal Opportunity Employer. We do not discriminate based on race, religion, color, sex, gender identity, sexual orientation, age, national origin, marital status, or disability. Our recruitment is decided based on qualifications, merit, and business need.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Collaboration
  • Creativity
  • Proactivity
  • Analytical Thinking

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