Senior Data Scientist

1 semana atrás

Lisboa, Portugal ComplyAdvantage Tempo inteiro

**Senior Data Scientist**

**What you will be doing**

Good data is at the heart of detecting financial crime and our Data Science team is key. As a Senior Data Scientist you are critical to powering ComplyAdvantage's Financial Crime solutions and preventing financial crime globally.

As a Senior Data Scientist, you will:

- Work alongside our Engineering, Data Analytics and Product Teams to process huge amounts of structured and unstructured data to extract information.
- Lead and influence the development of innovative data products from conception to operationalisation.
- Collaborate with different teams to perform cross data source analysis for better data unification.
- Continuously research tools, technologies, frameworks and practices to ensure that we are ahead of the curve.
- Have a deep understanding of existing data sources, related challenges and potential improvements.
- Use exploratory data analysis and data mining techniques to identify actionable items for product improvement.
- Have ownership of data metrics, you will be designing data metrics for each machine learning module using business requirements and customer feedback.
- Provide data insights and visualisations which will act as insight for new ideas that will be part of our product roadmap.

**About you**
- Have 5+ years of experience in data science or related field, with a proven track record of delivering impactful solutions
- Have a passion for data and have previously solved complex real world problems using algorithms
- Possess the ability to translate business requirements into technical solutions
- Have the ability to communicate effectively with a multitude of stakeholders sharing complex messages in an easily understandable way
- Be able to write and test code, ideally in Python
- Have experience with one or more of the following: Natural Language Processing, Entity Resolution, Graph Theory, Graph Machine Learning
- Have hands-on experience with modern machine learning frameworks such as Scikit-Learn, TensorFlow, or Spark
- Eagerness to continually learn and research

Nice to haves:

- Experience delivering machine learning solutions and integrating into data pipelines
- Experience with Big Data platforms such as Spark

**The impact you will have**

As a Data Scientist you will be joining one of the fastest growing teams at ComplyAdvantage. You will have the opportunity to solve some of our biggest challenges. Through your analysis, you will help guide ComplyAdvantage so we can make financial crime a thing of the past. Your work will be key to the success of your team and you can therefore expect everyone around you to be invested in getting models to production and
realising the impact of your work.

**What's in it for you?**
- Equity as we want you to have a part of what we are building
- Unlimited Time Off Policy
- A work-life balance and focus on our well-being are critical to keeping us performing at our best
- We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships
- You will also get a new starter budget to kit out your home office
- Opportunity to work on innovative projects with smart-minded people keen to share their knowledge and continuously improve
- Annual learning budget (prorated based on start date) to drive your performance and career development

**About us**:
ComplyAdvantage is the financial industry's leading source of AI-driven financial crime risk data and detection technology. Our mission is to neutralise the risk of money laundering, terrorist financing, corruption, and other financial crime.

More than 1000 companies rely on us to understand the risk of who they're doing business with through the world's only global, real-time database of people and companies. Our solutions identify thousands of risk events daily from millions of structured and unstructured data points.

We have five global hubs in New York, London, Singapore, Lisbon and Cluj-Napoca and are backed by Goldman Sachs, Ontario Teachers, Index Ventures, and Balderton Capital.

Since 2014, we have raised over $100 million in funding, and in 2022 alone grew by over 40% to over 500 people globally. Over the next 12 months, as our revenue increases, we plan to increase to 600.

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