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Hi! We are DATA Group and we are searching for the best talent! Our goal is to simplify our clients' lives with innovative IT solutions. We operate at global scale and we are expanding to Portugal!
If you are passionate and have the desire to make the difference, we want to get to know you! Join us to be part of this incredible adventure!
Who are we looking for? YOU!
Description:
Job Description: Data Scientist
We are looking for an experienced and results-driven Data Scientist with a strong understanding of advanced data analysis, capable of extracting valuable insights to support business strategy. This professional will be responsible for exploring large data volumes and transforming this information into actionable recommendations using statistical models, machine learning, and other data analysis techniques.
Responsibilities:
Analyze large data volumes from various sources and generate actionable insights for different business areas (marketing, product, operations, etc.).
Develop and implement predictive models, machine learning algorithms, and statistical analysis techniques to solve business problems.
Explore data of varying types and complexities, using analytical and visualization tools to identify trends and hidden patterns.
Collaborate with teams from different areas, such as data engineering and business, to define requirements and analysis goals.
Create clear, effective, and intuitive dashboards and reports to communicate findings and recommendations to stakeholders.
Ensure the validation, interpretation, and alignment of models with business needs, proposing continuous optimizations and adjustments.
Stay updated on the latest data analysis and machine learning methodologies, applying them to improve processes and outcomes.
Work with different types of data (structured, semi-structured, and unstructured) across various analysis platforms (cloud and on-premise).
Apply techniques such as data mining, time series analysis, clustering, regressions, and other statistical methods to extract value from data.
Requirements:
Proven experience as a Data Scientist, with at least 4 years in advanced data analysis and modeling.
Strong skills in applied statistics and machine learning, with knowledge in areas such as regression, classification, clustering, decision trees, neural networks, among other techniques.
Proficiency in Python and R, with experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Experience in data analysis and visualization using tools like Tableau, Power BI, or equivalents.
Ability to work with relational databases (e.g., SQL) and NoSQL databases (e.g., MongoDB).
Familiarity with Big Data platforms (Hadoop, Spark) and experience in cloud environments (e.g., AWS, Azure, Google Cloud).
Ability to interpret complex data and provide clear, actionable business recommendations.
Experience in creating prototypes and proofs of concept (PoC) for new models or analytical techniques.
Capability to work independently and in teams, with strong communication skills to translate technical terms into accessible language for different stakeholders.
Desired Competencies:
Solid understanding of statistics and model validation methods, such as A/B testing, cross-validation, etc.
Ability to solve complex problems using critical thinking and deep data analysis.
Attention to detail, with a focus on quality, accuracy, and business impact.
Knowledge of artificial intelligence and natural language processing (NLP) will be an advantage.
Work Location : Lisbon
Work Model: Hybrid (70% home 30% office)
Languages required: Portuguese and English B2/C1
Client's sector: Manufacturing
If you are passionate and have the desire to make the difference, we want to get to know you! Join us to be part of this incredible adventure!
Who are we looking for? YOU!
Description:
Job Description: Data Scientist
We are looking for an experienced and results-driven Data Scientist with a strong understanding of advanced data analysis, capable of extracting valuable insights to support business strategy. This professional will be responsible for exploring large data volumes and transforming this information into actionable recommendations using statistical models, machine learning, and other data analysis techniques.
Responsibilities:
Analyze large data volumes from various sources and generate actionable insights for different business areas (marketing, product, operations, etc.).
Develop and implement predictive models, machine learning algorithms, and statistical analysis techniques to solve business problems.
Explore data of varying types and complexities, using analytical and visualization tools to identify trends and hidden patterns.
Collaborate with teams from different areas, such as data engineering and business, to define requirements and analysis goals.
Create clear, effective, and intuitive dashboards and reports to communicate findings and recommendations to stakeholders.
Ensure the validation, interpretation, and alignment of models with business needs, proposing continuous optimizations and adjustments.
Stay updated on the latest data analysis and machine learning methodologies, applying them to improve processes and outcomes.
Work with different types of data (structured, semi-structured, and unstructured) across various analysis platforms (cloud and on-premise).
Apply techniques such as data mining, time series analysis, clustering, regressions, and other statistical methods to extract value from data.
Requirements:
Proven experience as a Data Scientist, with at least 4 years in advanced data analysis and modeling.
Strong skills in applied statistics and machine learning, with knowledge in areas such as regression, classification, clustering, decision trees, neural networks, among other techniques.
Proficiency in Python and R, with experience using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
Experience in data analysis and visualization using tools like Tableau, Power BI, or equivalents.
Ability to work with relational databases (e.g., SQL) and NoSQL databases (e.g., MongoDB).
Familiarity with Big Data platforms (Hadoop, Spark) and experience in cloud environments (e.g., AWS, Azure, Google Cloud).
Ability to interpret complex data and provide clear, actionable business recommendations.
Experience in creating prototypes and proofs of concept (PoC) for new models or analytical techniques.
Capability to work independently and in teams, with strong communication skills to translate technical terms into accessible language for different stakeholders.
Desired Competencies:
Solid understanding of statistics and model validation methods, such as A/B testing, cross-validation, etc.
Ability to solve complex problems using critical thinking and deep data analysis.
Attention to detail, with a focus on quality, accuracy, and business impact.
Knowledge of artificial intelligence and natural language processing (NLP) will be an advantage.
Work Location : Lisbon
Work Model: Hybrid (70% home 30% office)
Languages required: Portuguese and English B2/C1
Client's sector: Manufacturing
Key Skills
Ranked by relevance
c
data analysis
ui
machine learning
cloud
lan
sql
esp
das
nat
pan
ha
natural language processing
artificial intelligence
neural networks
data mining
prototypes
tensorflow
power bi
big data
tableau
pytorch
python
pandas
hadoop
nosql
numpy
spark
aws
lua
wan
sla
oop
cis
ai
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- Posted
- Nov 22, 2024
- Type
- Full-time
- Level
- Not Applicable
- Location
- Lisbon
- Company
- Grupo Data Portugal
Industries
IT System Data Services
Categories
Engineering
Information Technology
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