Tech Lead Data Scientist

Timestamp Group aggregates several leading Portuguese IT solutions and services companies around the concepts of excellence and knowledge sharing. We are committed to technological leadership, based on the quality of our service and technological solutions, supported by continuous training and certification.

Role: Tech Lead Data Scientist

JOB RESPONSBILITIES 

. Conducting advanced data analysis, using statistical techniques, machine learning algorithms and data mining methods to extract insights from large datasets.
. Developing predictive models, algorithms, and machine learning solutions to solve business problems an optimise processes.
Exploring and visualising data to identify patterns, trends and relationships that can inform decision making and strategy.
. Selecting extracting and engineering relevant features from raw data to improve model performance and accuracy.
. Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques.
Deploying data science solutions into production environments and integrating them with existing systems and processes.
. Interpreting and communicating the results of data analysis and modelling to stakeholders in a clear and actionable manner.
. Collaborating with cross-functional teams, including business analysts, engineers, and domain experts to understand business requirements and develop data driven solitons.
. Staying up to date with the latest developments in data science, machine learning and related fields through continuous learning and professional development.

MANDATORY SKILLS:

. Strong knowledge of programming, algorithms and data structures and industrial experience in languages such as Python and SQL variations (Hive,
Impala, PostgreSQL).
Understanding of Transformer Architecture, Embedding, Gen Al project pipeline, industrial experience with Prompt Engineering
. Knowledge of classic ML techniques with evidence of using them on data across supervised & unsupervised learning business problems.
. Experience of working on models that are productionalised and created tracable business impact is a huge plus.
. Strong proficiency in the following libraries: numpy, scipy, pandas, scikit learn, matplotlib, seaborn. Proficiency in PySpark, data engineering, Kedro framework is a huge plus.

NICE TO HAVE SKILLS
Cloud computing, working knowledge of AWS endpoint, model training and deployment, SageMaker, S3; Salesforce, Snowflake, Pyspark.

N° YEARS OF EXPERIENCE
+ 5 years

Bachelor or Master's degree in Computer Science / Data Science / Al or a related field, or substantial practical experience of Data Science at an advanced level.ogy or a related field