Data Scientist

at  Neotalent Conclusion

Lisboa, Área Metropolitana de Lisboa, Portugal -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate04 Dec, 2024Not Specified04 Sep, 20243 year(s) or aboveNumpy,Scipy,Scripting,Java,Scikit Learn,Scala,Pandas,English,Python,SparkNoNo
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Description:

WHO ARE WE:

Neotalent Conclusion is one of the leading Iberian specialists providing services in Information Technology and Engineering services. As part of the Netherlands-based organization Conclusion, which has an ecosystem of over 25 companies and 3,600 employees, we are focused on increasing the technological capacity of our clients and the digital transformation of their application ecosystems.
We are talent specialists, attracting the best people and combining them with the needs of the most ambitious projects, at the right time. Our success comes from our investments in innovation, our focus on results, and, above all, the guarantee that our people will have happy and rewarding careers.
With over 25 years of solid experience, Neotalent Conclusion has established its presence in key locations, including Lisbon, Porto, and Madrid. The company currently has more than 950 professionals in the different areas in which it operates.
Neotalent, the responsive people.
Find out more about us at .

Responsibilities:

ROLE OVERVIEW:

We are looking for a Help Desk to integrate one of our largest international partners in the telecommunications sector. It is one of the biggest references in the area, with a significant presence in more than 6 countries.

WHAT YOU WILL DO:

You will join one of our international projects (full remote or hybrid – in Lisbon or Porto) as a Data Scientist.

THE MAIN TASKS FOR THIS POSITION ARE:

  • Leverage data and domain knowledge to solve business problems and create quantifiable value;
  • Work cross-functionally to define problem statements, collect data, build analytical models, and design suitable solutions;
  • Build and maintain (or lead the development of) data-driven optimization models, experiments, forecasting algorithms, and capacity constraint models;
  • Lead teams into delivering models using best MLOps practices;
  • Communicate final recommendations and support decision-making.


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Lisboa, Portugal