Job Summary
As a Data Scientist, you will be working with our cross-functional team to model complex problems, use SotA approaches and identify high-impact opportunities. You will be part of a high-energy, fast-paced team responsible for supporting initiatives and operations across the company. The ultimate goal is to solve real business problems. Our team works on problems that profoundly affect the operation of our business. We address these problems by using predictive models, automating decision-making, and other very open-ended questions. For example, our stake-holders may ask if it is feasible to predict the outcome of a particular process in order to improve our approach or to help them leverage the massive amount of feedback our users provide.
- Minimum Qualification:Degree
- Experience Level:Mid level
- Experience Length:4 years
Job Description/Requirements
Responsibilities:
- Build advanced and explainable models to classify objects, predict outcomes or make recommendations.
- Deploy the models that you build to production by building APIs or leveraging our ETL pipelines.
- Use statistical, algorithmic, data mining, and visualization techniques to model complex problems, find opportunities, discover solutions, and deliver actionable business insights.
- Own your projects and use this autonomy to find creative and innovative ways of solving problems and delivering solutions.
- Handle both parts of the Research & Development process, including clean, rigorous implementations of devised models inside our production environment.
- Be persistent, focused, and well-adapted when it comes to finishing your work. At Toptal, we always drive research from start to finish - we don’t get distracted; we don’t leave anything unfinished.
- Communicate data-driven insights and recommendations to key stakeholders.
- Be in constant communication with team members and other meaningful parties and convey results efficiently and clearly via Slack.
Requirements:
- A strong background in advanced mathematics, in particular in probability theory and statistics, data mining, and machine learning.
- You must be able to think critically, to look at the big picture and spot what is missing, taking advantage of it to propose improvements and deliver business insights.
- 4+ years of professional experience in data science, doing exploratory data analysis, testing hypotheses, and building predictive models. Ability to quickly and accurately understand complex new concepts.
- Proficiency in Python and proven experience using popular ML packages (sklearn, keras, word2vec, etc), and previous experience efficiently conducting research and creating ad hoc reports.
- Deliver your work to production as a stand-alone microservice.
- Be enthusiastic about DS and stay up to date with SotA Machine Learning algorithms and developments.
- Be passionate about collaborating daily with your team and other groups while working via a distributed model.
- Be eager to help your teammates, share your knowledge with them, and learn from them.
- Be open to receiving constructive feedback.
- You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.
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