What does a Data Scientist do?
Data Scientists

Discover the role, main responsibilities, and skill set of our top-notch remote data scientists.

Main Responsibilities of a Data Scientist

Explore the key roles and responsibilities that our Data Scientists undertake to ensure the smooth operation of your data infrastructure.

  • Top Responsibility

    Data Analysis

    Data Scientists analyze large amounts of raw information to find patterns that will help improve our company.

  • Machine Learning

    Data Scientists build predictive models and machine-learning algorithms.

  • Data Visualization

    Data Scientists present information using data visualization techniques.

  • Data Management

    Data Scientists ensure data quality and integrity.

  • Strategy Planning

    Data Scientists use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

Data Scientist's Tech Stack

The typical tech stack managed by a Data Scientist might vary based on the project's requirements.
  • Programming Languages

    • Python
    • R
    • SQL
    • Java
    • Scala
    • Julia
    • TensorFlow
    • PyTorch
    • Pandas
    • NumPy
  • Machine Learning Tools

    • Scikit-Learn
    • Keras
    • XGBoost
    • LightGBM
    • CatBoost
    • ElasticNet
    • Random Forest
    • SVM
    • Naive Bayes
    • Neural Networks
  • Big Data Tools

    • Hadoop
    • Spark
    • Kafka
    • Flink
    • Hive
    • Pig
    • Storm
    • Cassandra
    • MongoDB
    • Neo4j

Referential Pricing for South American Data Scientists

These are referential prices based on the average cost of hiring a Data Scientist at different levels of expertise.
  • Junior Data Scientist

    $35,000
    /year
    $18
    /hour
    Junior Data Scientists are responsible for managing and analyzing data, while also keeping an eye out for trends or inconsistencies that could impact business goals.
  • Semi-Senior Data Scientist

    $58,000
    /year
    $30
    /hour
    Semi-Senior Data Scientists have more experience and can handle more complex data analysis tasks. They play a key role in data infrastructure, ETL processes, and data support.
  • Senior Data Scientist

    $86,000
    /year
    $45
    /hour
    Senior Data Scientists are experts in their field, capable of designing, constructing, installing, testing and maintaining highly scalable data management systems.

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Comparing Roles

Data analyst

.

Data Engineer

.

Data Scientist

.

ML Engineer

.
Data Collection
✓ Collects and processes raw data
✓ Designs, constructs, installs, tests and maintains data management systems
✗ Does not typically collect raw data
✗ Does not typically collect raw data
Data Analysis
✓ Analyzes and interprets complex data sets
✓ Ensures systems meet business requirements and industry practices
✓ Interprets trends and patterns in complex data sets
✓ Interprets trends and patterns in complex data sets
Data Modeling
✗ Does not typically build predictive models
✓ Builds algorithms and prototypes
✓ Builds and optimizes data models
✓ Designs and builds machine learning models
Machine Learning
✗ Does not typically work with machine learning
✗ Does not typically work with machine learning
✓ Builds predictive models and machine-learning algorithms
✓ Builds predictive models and machine-learning algorithms
Data Visualization
✓ Presents data in a visual context
✗ Does not typically present data visually
✓ Presents data in a visual context
✓ Presents data in a visual context
Data Cleaning
✓ Cleans and validates data for analysis
✓ Cleans and validates data for storage
✓ Cleans and validates data for analysis
✓ Cleans and validates data for machine learning models
Data Integration
✗ Does not typically integrate data from different sources
✓ Integrates data from different sources
✓ Cleans and validates data for analysis
✓ Cleans and validates data for machine learning models

Data analyst

.
Data Collection
✓ Collects and processes raw data
Data Analysis
✓ Analyzes and interprets complex data sets
Data Modeling
✗ Does not typically build predictive models
Machine Learning
✗ Does not typically work with machine learning
Data Visualization
✓ Presents data in a visual context
Data Cleaning
✓ Cleans and validates data for analysis
Data Integration
✗ Does not typically integrate data from different sources

Data Engineer

.
Data Collection
✓ Designs, constructs, installs, tests and maintains data management systems
Data Analysis
✓ Ensures systems meet business requirements and industry practices
Data Modeling
✓ Builds algorithms and prototypes
Machine Learning
✗ Does not typically work with machine learning
Data Visualization
✗ Does not typically present data visually
Data Cleaning
✓ Cleans and validates data for storage
Data Integration
✓ Integrates data from different sources

Data Scientist

.
Data Collection
✗ Does not typically collect raw data
Data Analysis
✓ Interprets trends and patterns in complex data sets
Data Modeling
✓ Builds and optimizes data models
Machine Learning
✓ Builds predictive models and machine-learning algorithms
Data Visualization
✓ Presents data in a visual context
Data Cleaning
✓ Cleans and validates data for analysis
Data Integration
✓ Cleans and validates data for analysis

ML Engineer

.
Data Collection
✗ Does not typically collect raw data
Data Analysis
✓ Interprets trends and patterns in complex data sets
Data Modeling
✓ Designs and builds machine learning models
Machine Learning
✓ Builds predictive models and machine-learning algorithms
Data Visualization
✓ Presents data in a visual context
Data Cleaning
✓ Cleans and validates data for machine learning models
Data Integration
✓ Cleans and validates data for machine learning models

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