Senior Data Scientist

4 weeks ago

Lahore, Punjab, Pakistan Mavericks United Full time

The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities

Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design, develop, and implement robust data pipelines using ETL (Extract, Transform, Load) processes
Write and optimize high-performance SQL queries to support data transformations and reporting
Lead the management and optimization of our Snowflake data warehouse; strong expertise in columnar data stores is a must
Define and maintain data quality checks and monitoring frameworks
Partner closely with data scientists and analysts to ensure data accessibility and usability
(Bonus) Develop interactive visualizations and dashboards using Power BI or Tableau
(Bonus) Automate infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements

Qualifications

Bachelor's degree in Computer Science, Information Systems, or related field—or equivalent work experience
4-5+ years of experience as a Data Engineer or in a similar role with increasing leadership responsibilities
Strong command of SQL and deep understanding of relational and columnar databases
Solid experience building ETLs with Python or similar high-level programming languages
Expertise in Snowflake is highly preferred
Good grasp of cloud-based platforms, preferably AWS, but GCP or Azure is also relevant
Hands-on experience with data visualization tools like Power BI, Tableau, or equivalent (preferred)
Familiarity with Terraform or other IaC tools is a plus
Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
Fluency in a programming language (Python, C,C++, Java, SQL)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)

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