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SENIOR DATA SCIENTIST

Descripción de la oferta de empleo

Description It’s you who can make an impact! Join our dynamic team as a Senior Data Scientist  and shape tomorrow’s innovations! It is the dream job for those passionate about Data Science and crave a vibrant team atmosphere.
Apply yourself or drop us a line if you know someone who fits the role.
Let’s enjoy the engineering and vibrant international environment together! We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges.
With a global team of over highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role.
As a Senior Data Scientist, you’ll become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities Proactively generating innovative ideas, crafting compelling business cases, and skillfully pitching them to key stakeholders.
Dive deep into data to unearth valuable insights and translate them into actionable recommendations.
You’ll excel in communicating these insights to diverse audiences through both verbal presentations and visualizations.
You will also collaborate closely with cross-functional teams to define and implement success metrics, ensuring alignment with product objectives and stakeholder needs Then you will take charge of developing and implementing machine learning models, ensuring they are not only accurate but also scalable and reliable for generating predictions efficiently You’ll collaborate closely with our Machine Learning Engineers to deploy, maintain, and enhance these models, ensuring they meet our high standards for performance.
Your role will involve working with real-time data, seamlessly integrating it into our machine learning frameworks.
Additionally, you’ll collaborate with Developers and Operations Research Scientists, empowering them to utilize our predictions effectively to drive maximum impact in our operations Finally, you will play a pivotal role in our team by fostering collaboration among peers.
You’ll work closely with fellow data scientists to establish and implement best practices, share insights, and provide constructive feedback on each other’s projects.
Your expertise and leadership skills will be instrumental as you mentor junior team members, guiding them through their projects and helping them develop their skills Requirements Advanced proficiency in data science and machine learning methodologies, with extensive experience applying these techniques in production environments Proven experience in getting models to production, scaling, and maintaining them for long-term success Python (scikit-learn, pandas, seaborn, etc.) in notebooks and pure Python code for production, and strong proficiency in SQL Strong understanding of software development best practices, including testing, git, code reviews, and model lifecycle management Working with Docker containers to support reproducible and scalable environments Experience with real-time data integration and machine learning frameworks Basic understanding of mathematical optimization is required Experience with real time inference and stream processing is required Desirable Leadership and mentorship skills, with the ability to guide and develop junior data scientists and foster team collaboration A holistic project approach, from generating business cases to managing the full lifecycle of models Ability to generate innovative ideas, test hypotheses rigorously, and pitch business cases to stakeholders Critical analysis of approaches, assumptions, and business impact, with the ability to challenge and refine strategies for optimal results Preference for simple, scalable, and effective solutions, particularly in complex projects Expertise in agile environments with strong collaborative skills, particularly in cross-functional teams Excellent communication skills, including the ability to present complex data insights and machine learning concepts to a wide range of stakeholders, both technical and non-technical What's in it for you Care.
your mental and physical health is our priority.
We ensure comprehensive company-paid medical insurance and 4 additional undocumented sick leave days Tailored education path.
boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications Growth environment.
share your experience and level up your expertise with a community of skilled professionals, locally and globally Flexibility.
Own your schedule – you are the one to decide when to start your working day.
Just dont miss your regular team stand-up.
We are there to support your work-life balance and provide 23 vacation days & short Fridays Opportunities.
we value our specialists and always find the best options for them.
Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential Global impact.
work on large-scale projects that redefine industries with international and fast-growing clients Welcoming environment.
feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events About us.
Join a well-established company and a friendly team of professionals.
Our Delivery Center in Malaga is one of the leading IT hubs in Andalusia – it provides an exceptional mix of vibrant tech talent community, wide-open access to expertise advancement opportunities, hybrid/remote work setup & endless Mediterranean seashore summer.
Seize the perks of global opportunities, local atmosphere and industry-leading clients.
Be bold, not bored! Experiences of tomorrow.
Engineered together Interested already? We would love to get to know you! Submit your application.
Can’t wait to see you at Ciklum.
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
  • En toda España
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 21/11/2024
Fecha de expiración
  • 19/02/2025
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