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Data Scientist @Intellectsoft

[Hiring] Data Scientist @Intellectsoft

Apr 01, 2025 - Intellectsoft is hiring a remote Data Scientist. 💸 Salary: unspecified. 📍Location: Northern America, Latin America (LATAM), Europe.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

You'll be part of a dynamic team developing a cutting-edge Analytical Platform for one of the largest resorts and casino companies in Southeast Asia. This mission-critical application is designed to empower client stakeholders with deep insights into customer behavior, enabling data-driven decision-making and strategic business development.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field
  • ML/Analytics Experience: 3+ years in data science, machine learning, or advanced analytics roles, building models and delivering data-driven insights
  • Programming Skills: Proficiency in Python (NumPy, pandas, scikit-learn), strong SQL knowledge, and familiarity with PySpark or other distributed computing frameworks
  • Big Data & Streaming: Experience with Apache Spark, Kafka, or similar technologies for large-scale data processing and real-time analytics
  • MLOps & Model Deployment: Familiarity with MLflow, containerization (Docker), and orchestrators (Airflow, Kubernetes) for automated model lifecycle management
  • Data Warehousing / Lakehouse: Understanding of data lake architectures (Delta Lake, Iceberg, Hudi), partitioning, ACID transactions, and schema evolution
  • Analytical Mindset: Strong understanding of statistical methods, hypothesis testing, data visualization, and feature engineering best practices
  • Upper-Intermediate level of English

Requirements

  • Cloud Services: AWS (EMR, S3, Glue, SageMaker), Azure, or GCP for analytics and ML at scale
  • Deep Learning: Hands-on experience with PyTorch, TensorFlow, or advanced NLP frameworks (Hugging Face)
  • Data Catalog & Governance: Experience with DataHub, Apache Atlas, Collibra, or similar metadata management solutions
  • Real-time Analytics: Exposure to Apache Flink, Spark Structured Streaming, or AWS Kinesis for event-driven pipelines
  • Domain Knowledge: Prior exposure to gaming, loyalty/rewards analytics is a plus

Responsibilities

  • Model Development & Experimentation
    • Design, prototype, and validate predictive/statistical models using Python (NumPy, pandas, scikit-learn), PySpark, MLlib, or deep learning frameworks (PyTorch/TensorFlow)
    • Continuously iterate on feature engineering strategies with data from streaming (Kafka) and batch (NiFi + Airflow) pipelines
  • Data Pipeline Integration
    • Collaborate with Data Engineers to ensure models consume and output data seamlessly into/from Delta Lake / Iceberg (in S3 or HDFS) and can handle both real-time and batch feeds
    • Contribute to the design of scalable, fault-tolerant data flows that handle high-volume, low-latency data from operational gaming systems
  • MLOps & Model Lifecycle Management
    • Track model experiments using MLflow (or similar) for reproducibility, versioning, and performance monitoring
    • Work with Airflow (or similar orchestrator) to schedule training, re-training, and automated model evaluation
    • Deploy and monitor models via Models as a Service solutions (e.g., FastAPI, TorchServe, SageMaker) ensuring robust logging, alerting, and rollback procedures
  • Advanced Analytics & Domain Insight
    • Perform exploratory data analysis and statistical tests to uncover insights for dynamic pricing, customer segmentation, fraud detection, or game optimization
    • Partner with business stakeholders (marketing, operations, finance) to translate analytical findings into tangible action items or product features
  • Data Governance & Quality
    • Adhere to data lineage and cataloging practices using tools like DataHub, Apache Atlas, or AWS Glue to ensure compliance, traceability, and data quality
    • Collaborate with governance teams to define and enforce security, privacy, and compliance measures (e.g., handling PII, region-specific regulatory requirements)
  • Continuous Improvement & Innovation
    • Stay up-to-date on emerging ML trends (e.g., reinforcement learning, large language models, real-time analytics)
    • Evaluate open-source and cloud-native ML solutions (e.g., Kubeflow, SageMaker) to optimize cost, performance, and operational overhead

Benefits

  • 35 paid absence days per year for work-life balance
  • Up to 15 unused absence days can be added to income after 12 months of cooperation
  • Health insurance
  • Depreciation coverage for personal laptop usage for project needs
  • Udemy courses of your choice
  • English courses with native-speaker
  • Regular soft-skills trainings
  • Excellence Centers meetups
  • Online/offline team-buildings

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Before You Apply
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📍 Be aware of the location restriction for this remote position: Northern America, Latin America (LATAM), Europe
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Back to Remote jobs  >   Software Development
Data Scientist @Intellectsoft
Software Development
Salary 💸 unspecified
Remote Location
Northern America, Latin America (LATAM), Europe
Job Type full-time
Posted Apr 01, 2025
Apply for this position Unlock 54,610 Remote Jobs
️
📍 Be aware of the location restriction for this remote position: Northern America, Latin America (LATAM), Europe
‼ Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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