Data Scientist, Analytics/Remote

Apetan Consulting
yesterday

Role details

Contract type
Permanent contract
Employment type
Part-time (≤ 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Databases
Data Visualization
Hadoop
Python
Machine Learning
NumPy
Power BI
TensorFlow
SQL Databases
Tableau
Unstructured Data
Data Processing
PyTorch
Spark
Deep Learning
Pandas
Information Technology
Data Analytics
Data Pipelines

Job description

We are looking for a Data Scientist to analyze complex data and generate actionable insights to support business decision-making. The role involves working with large datasets, building predictive models, and collaborating with cross-functional teams to solve business problems using data-driven approaches., * Collect, clean, and analyze structured and unstructured data from multiple sources

  • Develop statistical models, machine learning algorithms, and predictive analytics solutions
  • Interpret data trends and provide actionable insights to stakeholders
  • Create dashboards, reports, and visualizations to communicate findings
  • Collaborate with business, product, and engineering teams to define data-driven solutions
  • Validate and optimize models for performance and accuracy
  • Work with data pipelines and ensure data quality and integrity
  • Stay updated with the latest tools, technologies, and industry trends in data science

Requirements

  • Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
  • Strong knowledge of Python or R for data analysis and modeling
  • Experience with data manipulation libraries (Pandas, NumPy)
  • Understanding of machine learning techniques and statistical methods
  • Experience with SQL and database systems
  • Proficiency in data visualization tools (Tableau, Power BI, or similar)
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications:

  • Experience with big data technologies (Hadoop, Spark)
  • Knowledge of cloud platforms (AWS, Azure, or GCP)
  • Familiarity with deep learning frameworks (TensorFlow, PyTorch)
  • Experience with NLP or time-series analysis

Experience Level:

  • 2 5 years (adjustable based on requirement)

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