1124
- Apraksts
- Pamatinformācija
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Key Responsibilities
- Dive deep into a multitude of data sources. Including data from loan management system, bank transactions, audio recordings, data from mobile app, e-shop and more.
- Perform statistical analysis on customer behaviors, product performance, and operational efficiencies to extract actionable insights.
- Develop predictive models to assist in credit risk assessment, fraud detection, product pricing and customer segmentation for other purposes.
- Work closely with risk, marketing, debt collection and sales teams to understand their challenges and provide data-backed solutions.
- Collaborate with the IT and product development teams to create data-driven tools and applications.
- Maintain full model development, deployment, and maintenance cycle.
- Present findings and recommendations to senior management and other relevant teams in a clear and concise manner.
- Cooperate with the legal and compliance teams to ensure all data activities are in line with privacy regulations and company policies.
- Keep updated with the latest trends in data science, machine learning and AI industry.
- Participate in training sessions, workshops, and conferences to continually refine your expertise.
Qualifications
- Education in Statistics, Mathematics, Computer Science, Data Science, or another numerically heavy field.
- Strong analytical, problem-solving and critical thinking skills.
- Proven track record with full model development and maintenance cycle (including deployment to production).
- Fluent in at least one data science programming language such as Python, R, Scala etc.
- Proficiency in at least one database query language (PostgreSQL, MySQL etc.).
- Expertise in evaluating the performance and impact of machine learning models.
- Familiarity with data warehousing concepts, ETL processes, and data modeling concepts.
- Exceptional communication skills, with the ability to explain complex topics to a varied audience.
- Familiarity with Docker and CI/DC pipelines will be considered as an advantage.
- Familiarity with machine learning frameworks like TensorFlow or PyTorch is a plus.
- Work experience in the financial industry will be considered as an advantage.
Why to join us
- Innovation culture: be part of a forward-thinking company that encourages and rewards innovation;
- Collaborative environment: work with a diverse and talented team in a collaborative and supportive atmosphere;
- Professional growth: access to continuous learning and professional development opportunities;
- Benefit package: enjoy employee benefits package, such as stock options, health insurance, events and other well-being benefits.
€
4000 - 4500
Atrašanās vieta
- Rīga, Latvija
- Attālināta darba iespējas
Skanstes iela 50A, Rīga
Darba veids
- Pilna slodze
Valodas
- Angļu
- Latviešu
Kontaktpersona
Oļesja Gavrilova
+371 25962862
Oļesja Gavrilova
+371 25962862
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