Data Science Visionary
Há 1 mês
Job Overview
We're seeking an accomplished Data Scientist to spearhead our data-driven initiatives at Alter Solutions. Based in Lisbon, Portugal, this is a pivotal opportunity to leverage your expertise and contribute to our company's vision.
The Role's Mission
As a Senior Data Scientist, you will develop and oversee the development of cutting-edge machine learning models, collaborating with our engineering team to deploy innovative algorithms and maintain production-level code. Your role will also involve implementing data engineering for automated solutions and exploring new machine learning methods for efficient data analysis.
Key Responsibilities
- Foster a culture of innovation and excellence within the data science team, promoting best practices and driving project success.
- Develop and supervise sophisticated deep/machine learning models and statistical algorithms, deploying novel solutions and efficiently retrieving data for robust model building.
- Work collaboratively with the Data Engineering team, seamlessly deploying and integrating machine learning algorithms to enhance overall functionality.
- Exhibit coding prowess by developing, commenting, maintaining, and sharing legible and production-level programming code, ensuring transparency and reliability.
- Explore new machine learning methods for the streamlined analysis of large datasets.
- Create compelling data visualizations, meticulously documenting and communicating findings to internal stakeholders in a structured and impactful manner.
- Drive the delivery of effective solutions by consulting with internal stakeholders, solving critical business questions, and providing business recommendations from a data science perspective.
- Take full responsibility for key projects, consistently raising the performance bar and ensuring the highest standards of excellence.
- Identify and harness opportunities for applying data science to improve, optimize, and expand existing solutions.
Your Background Will Ideally Include:
- An academic background (Bachelor's, Master's, or PhD Degree) in Computer Science, Data Science, Machine Learning Engineering, Statistics, or equivalent fields.
- Business proficiency in English (B2 Level Minimum Required).
- A minimum of 5 years of demonstrable experience in ML Engineering or Data Science roles.
- Experience with the end-to-end data science cycle: from data collection to model deployment and monitoring.
- Proven experience with Deep Learning and NLP models.
- Strong data exploratory skills – understanding how to break down the data, extract insights, and determine utility within a broad range of business questions.
- Strong knowledge of commonly used ML/Optimization techniques (Classification, Regression, Clustering, Outlier identification) and statistical methodologies (Distributions, Hypothesis testing, Bayesian framework).
- Consolidated professional programming experience in Python, as well as with Spark and SQL, coupled with adeptness in utilizing prevalent data science and machine learning libraries.
- Experience working within Agile Frameworks (SCRUM/KABAN).
You Will Be The Ideal Candidate If You Possess:
- Inquisitive, with critical thinking, and demonstrate a genuine passion for consumer behavior.
- Enjoy actively looking for new and more efficient ways of improving processes, raising standards, reducing errors, and overcoming omissions.
- Are proactive, optimistic, and willing to get involved to achieve the team's goals and objectives.
- Are highly collaborative and adaptable with the ability to work effectively within different cultural and technical environments.
- Possess outstanding communication and interpersonal skills in order to comfortably connect with partners at all levels across the organization and facilitate discussions in a constructive manner.
Preferred Qualifications:
- Experience with Cloud Computing and storage, ETL, and experience with Big Data handling in Azure Databricks.
Estimated Salary Range: €80,000 - €110,000 per year, depending on experience.
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