Offer summary

Qualifications:

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related field; Master's degree or PhD preferred., Proficiency in programming languages such as Python, R, or Scala., Strong knowledge of SQL and experience with big data technologies like Hadoop or Spark., Excellent problem-solving skills and ability to communicate complex data findings to non-technical stakeholders..

Key responsibilities:

Lead projects utilizing machine learning and advanced data analytics to transform the analytics landscape.

Conduct rigorous analysis to identify key business patterns and guide strategic decisions.

Architect and develop applications that aggregate, process, and analyze data from various sources.

Collaborate with the Business Intelligence team to provide advanced analytical tools for informed decision-making.

Job description

Inter Cars Group S.A. is a market leader in the sale of spare parts. We are operating in 20 countries, and we are still expanding. In order to build advantages over our competitors, we connect our future with IT solutions.

Responsibilitie

s:We rely on data-driven insights to drive our business decisions. Our Business Intelligence team is dedicated to providing the advanced analytical tools necessary to support informed decision-making. Through rigorous analysis and machine learning applied to large data sets, we identify key business patterns and draw meaningful inferences to guide our strateg
y.As a Data Scientist, you are responsible for leading projects that utilize machine learning and advanced data analytics to transform our analytics landscape and drive innovatio
n.To be successful in this role, you should have a strong background in data science, machine learning, and experience working with large data sets. You should be proficient in ETL processes and BI technologies, both cloud-based and on-premise
s.Additionally, you should be able to architect and develop applications that aggregate, process, and analyze data from various sources using machine learning techniques. If you are passionate about leveraging data science and machine learning to generate impactful insights and drive our business forward, we encourage you to apply for this exciting opportunit

y.

Requireme

nts:Education: Bachelor"s degree in Computer Science, Statistics, Mathematics, Data Science, or related field. A Master"s degree or PhD is prefer
red.Technical Ski
lls:Proficiency in programming languages such as Python, R, or Sc
ala.Strong knowledge of SQL and experience with relational databa
ses.Experience with big data technologies like Hadoop, Spark, or simi
lar.Proficiency in machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-lea
rn).Experience with cloud platforms (e.g., Azure, Databricks, Google Clo
ud).Understanding of ETL processes and to
ols.Analytical Ski
lls:Strong statistical analysis and modeling ski
lls.Ability to design and implement machine learning algorit
hms.Experience in data mining and predictive analyt
ics.Knowledge of A/B testing and experimental des
ign.Soft Ski
lls:Excellent problem-solving and critical-thinking abilit
ies.Strong communication skills to explain complex data findings to non-technical stakehold
ers.Ability to work collaboratively in a team environm
ent.Attention to detail and a strong sense of owners

hip.

What do we

offer?An exciting and challenging opportunity to work with massive volumes of data in one of the largest automotive companies in E
urope.Ability to work with large streams of behavioural data and massive data
bases.Attractive non-financial benefits (WokrsSmile, training , language learning, sports card, L

uxMed)

Required profile