Senior Data Scientist

Required Skills:

- Minimum of 5 years of experience in a data science or related role, with a proven track record of applying machine learning techniques to real-world problems.
- Proficiency in Python, with expertise in data science libraries such as PyTorch, Keras, Pandas, NumPy, and scikit-learn. Strong understanding of data visualization, statistics, and AI algorithms.
- Demonstrated experience in implementing traditional and State-of-the-Art Machine Learning algorithms, including deep learning models.
- Familiarity with statistical methods and techniques.
- Proficient in utilizing tools such as Jupyter Notebook and AWS (PostgreSQL) for data analysis and model deployment.
- Excellent communication skills, with the ability to collaborate effectively with cross-functional teams and provide regular updates and insights.

Responsibilities:

- Work closely with the team to understand business objectives and translate them into data science initiatives. Provide regular updates and insights to stakeholders.
- Implement advanced machine learning techniques, including deep learning models, to solve complex data problems and extract actionable insights.
- Perform data wrangling, cleaning, transformation, scaling, exploratory data analysis (EDA), anomaly detection, and handling missing data to ensure the quality and integrity of datasets.
- Apply statistical methods to uncover meaningful trends and relationships within datasets, informing decision-making processes.
- Conduct feature selection and engineering to improve model performance and enhance predictive accuracy.
- Validate and fine-tune machine learning models to ensure accuracy, reliability, and generalizability to real-world scenarios.

Project description:
Our mental and emotional wellness company is dedicated to leveraging data-driven insights to enhance the well-being of our users. As we continue to expand our offerings and deepen our impact, we recognize the pivotal role that advanced data science plays in our mission. We are seeking a Senior Data Scientist to join our team and lead the development and implementation of cutting-edge machine learning techniques to extract actionable insights from our datasets.

What we offer:

- Healthy workplace environment
- Strong and friendly development team
- Competitive reward
- Compensation for education
- Flexible schedule
- 10 paid vacation days, 4 paid days-off

About Fluvius

Life Story

“Fluvius started on October, 2015 by Georgiy Gres living in Austria that times. The growing of the company from nothing to 7 people in a team and 5 simultaneous projects was very amazing and ambitious way of development during all the following year.

In less than 8 months after the start we moved to our first office as the organisational culture and operational communications of the team required this. We were happy. The business developed was good until we acceded 10 people and the management became hard. In the result and fortunately, our business was bankrupt on the eve of the new year and we were gaining fabulous experience from that! Based on this experience, knowledge of business administration and skills of programming, the great initial set of business processes in combination with agile organisational structure was developed.

Thereby, Fluvius provides stunning level of services in web and mobile development nowadays, having 100% of satisfied clients mainly thanks to Anton Yakushin for the excellent quality of the code, as well as to Georgiy Gres for our strong business-processes and systems. Special thanks to all our partners and employees for solving hard problems, accepting of innovations and development for the better!

Fluvius always stays at the source of success of its clients, since the Client is the core value. Moreover, we heavily strive to make successful the clients of our clients providing rather the complex interactive business support, than only the programming services.”

Company website:
https://fluvius.co/

DOU company page:
https://jobs.dou.ua/companies/fluvius/
Job posted on 11 April 2024
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