Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities.
Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform.
Collect, clean, and preprocess large datasets from various internal and external sources.
Streamlining data science process working with Data Engineering, and Technology teams.
Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.
Develop and maintain data pipelines and infrastructure to support the data science projects
Communicate findings and recommendations to stakeholders through data visualizations and presentations.
Stay up to date with the latest data science trends and technologies, specifically for GCP companies
This is an excellent opportunity for a full-stack data scientist to take their career to the next level by working with the latest technologies and driving business value.
If you are a passionate and motivated data scientist who is excited about working with us. Apply today to join our team and make a real impact on the future of data science.
We are open to candidates being based remotely
requirements-expected :
Brings 5+ years of deep data science experience
Education / Certifications: Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics
Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon
Experience with programming languages such as Python, R, Spark
Experience with data visualization tools such as Tableau, Power BI, and D3.js
Strong understanding of data structures, algorithms, and software design principles
Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage
Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub.
Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs.
Strong analytical and problem-solving skills
Excellent verbal and written communication skills
Working knowledge with application architecture, data security and compliance team.
benefits :
sharing the costs of sports activities
private medical care
life insurance
flexible working time
retirement pension plan
parking space for employees
annual bonus
multi-cafeteria MyBenefits
employment awards
contract for an indefinite period without a trial period
