Senior Data Scientist Engineer (#2446)

3 Weeks ago โ€ข 5 Years + โ€ข Data Analyst

About the job

Job Description

N-iX seeks a Senior Data Scientist Engineer to develop and implement machine learning models using Python and TensorFlow. Responsibilities include designing and executing data analysis projects, partnering with data engineers, applying statistical techniques, documenting models and processes, and presenting findings to stakeholders. The ideal candidate will have 5+ years' experience in data science, expertise in machine learning libraries (Scikit-Learn, TensorFlow), proficiency in Python, R, and SQL, and experience with large datasets and data warehousing solutions. Collaboration with the ETL team to optimize data pipelines using Apache Airflow and dbt is also required.
Must have:
  • 5+ years Data Science experience
  • Expertise in ML libraries (Scikit-Learn, TensorFlow)
  • Proficiency in Python, R, SQL
  • Experience with large datasets and data warehousing
  • Develop and implement ML models
  • Data analysis and manipulation
Good to have:
  • Cloud-based ML platforms
  • Data visualization tools (QlikView, Tableau)
  • CI/CD (Docker, Kubernetes, GitLab)
  • Algorithm development for consumer/enterprise apps
Perks:
  • Flexible working format
  • Competitive salary and benefits
  • Personalized career growth
  • Professional development tools
  • Active tech communities
  • Education reimbursement
  • Corporate events
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N-iX is a software development service company that helps businesses across the globe develop successful software products.

Client Overview:
Our client is a leading provider of technical services, delivering both standard and custom intranet and internet-based software and applications systems. Due to increasing demand for in-house digital projects, the client is seeking to outsource certain development tasks to strategic partners.

Project Objectives:
The client is looking to build strategic long-term relationships with leading development partners to accelerate business growth through high-quality and cost-efficient software development. The selected partner(s) will support the development of robust and scalable Consumer and Enterprise applications.

Responsibilities:

  • Develop and implement machine learning models using Python and TensorFlow.
  • Design and execute data analysis projects to derive actionable insights from large datasets.
  • Partner with data engineers to ensure data quality and availability for machine learning models.
  • Apply statistical techniques to validate model performance and reliability.
  • Develop clear and comprehensive documentation of models, algorithms, and data processes.
  • Present findings and insights to stakeholders using visualization tools like Matplotlib, Seaborn, and Plotly.
  • Stay current with the latest advancements in AI/ML technologies and apply them to improve existing processes.
  • Collaborate with the ETL team to optimize data pipelines using tools like Apache Airflow and dbt.

 

Requirements:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience (5+ years) as a Data Scientist working on complex projects.
  • Strong expertise in machine learning and data science libraries: Scikit-Learn, TensorFlow, and various ML models.
  • Proficiency in programming languages and tools such as Python, R, and SQL.
  • Experience with data analysis and manipulation libraries like Pandas and NumPy.
  • Demonstrated ability to work with large datasets and data warehousing solutions like Clickhouse, PostgreSQL, and Oracle.
  • Excellent problem-solving skills and ability to translate business requirements into technical solutions.
  • Upper-Intermediate level of English.

 

Nice to Have:

  • Experience with cloud-based machine learning platforms.
  • Familiarity with data visualization tools like QlikView, Tableau, and Apache Superset.
  • Understanding of CI/CD practices and tools like Docker, Kubernetes, and GitLab.
  • Previous experience in developing algorithms for consumer and enterprise applications.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
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