Key Responsibilities:

Collaborate with cross-functional teams to identify business needs and develop data-driven solutions on the GCP platform.
Design and implement data pipelines, data warehouses, and data lakes on GCP to support data analytics and machine learning initiatives.
Develop and deploy predictive models and algorithms to uncover insights and drive business growth.
Utilize GCP tools and technologies such as BigQuery, Dataflow, and Cloud ML to develop scalable and efficient data solutions.
Monitor and maintain data quality, accuracy, and integrity across all data sources and systems.
Communicate complex data and analytical insights to both technical and non-technical stakeholders in a clear and concise manner.
Stay updated on the latest trends and advancements in data science, machine learning, and GCP technologies to continuously improve and innovate our data solutions.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
Minimum of 5 years of experience as a Data Scientist, with a focus on GCP and cloud computing.
Strong knowledge and experience in data extraction, transformation, and loading (ETL) processes.
Proficiency in programming languages such as Python, R, or Java, and experience with SQL and NoSQL databases.
Hands-on experience with GCP tools and technologies, specifically BigQuery, Dataflow, and Cloud ML.
Proven track record of developing and deploying machine learning models in a production environment.
Excellent communication, problem-solving, and critical thinking skills.
Ability to work independently and in a team environment, with a strong sense of ownership and accountability.

Apply now and take the next step in your career as a GCP Data Scientist!.

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