Mazosolutions jobs - Data Scientist - Delivery and New Frontiers Manager

Data Scientist - Delivery and New Frontiers Manager 

Job Description:   

We are seeking highly skilled and motivated data scientist to join our Data Science team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for designing, developing, and deploying data science solutions that drives business values for stakeholders. This role involves mapping business problems to a formal data science solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the data science product with the support from MLOps team and facilitating business workshops. In a nutshell, this person will represent data science and provide expertise in the full project cycle. Expectation of the successful candidate will be above that of a typical data scientist. Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. 

Responsibilities: 

• 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 

Education / Certifications:  

Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics. 

Job specific requirements:  

• Brings 5+ years of deep data science experience 

∙       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.