Aipplify
JobsCompaniesBlogFor Recruiters
Sign InCreate Account
Btse

(Sr.) Data Scientist

8.0/10

Btse

$105,000 – $175,000 USD
Office / on-site
senior
9 days ago
aianalyticscryptofintechweb3PythonSQLDatabricksPySparkDelta tablesMedallion architectureData modeling

AI Summary

The vacancy is well-structured with clear responsibilities and compensation, but lacks some details on company presence online.

Check Match — Just drop your CV

See your fit for (Sr.) Data Scientist in seconds.

Description

What you'll do

  • •Own the underlying data
  • •Develop a deep understanding of the source data.
  • •Identify gaps, inconsistencies, and quality issues; partner with Data Engineering to resolve them at source
  • •Design and build the silver and gold-layer tables that downstream dashboards and analyses rely on
  • •Engineer the features that matter
  • •Translate business concepts into well-defined data features: user segments, lifecycle stages, behavioural scores, profitability metrics
  • •Build the shared dimensions and metric definitions that get reused across the BI portfolio
  • •Ensure features are reproducible, documented, and trusted — so the rest of the team and the business can rely on them
  • •Partner with the business
  • •Work directly with stakeholders across domains to understand the decisions they need to make
  • •Occasionally build dashboards end-to-end — particularly for the more complex, cross-domain, or analytically heavy ones

Conditions

  • •Competitive salary and benefits package.
  • •Opportunity to work in a fast-paced and innovative environment.
  • •Be part of a growing and dynamic team.
  • •Make a real impact on the company's success.
  • •Various team building programs and company events.
  • •Comprehensive healthcare schemes for employees and dependants.

Requirements

  • •Proficient in Python and SQL
  • •Strong, production-grade SQL — including window functions, complex joins, and performance tuning on large datasets
  • •Proficient Python for data work — pandas, PySpark, and the broader analytics ecosystem
  • •Comfortable working in a modern lakehouse environment (Databricks preferred); familiar with Delta tables, medallion architecture, and notebook-driven workflows
  • •Track record of working with messy, real-world transactional data and turning it into something the business can use
  • •Experience building reusable data models, semantic layers, or metric definitions
  • •Good instincts for data quality — you spot when a number looks wrong before anyone else does
Loading similar jobs...