Data Scientist Jobs

EPAM Anywhere is looking for Data Scientists.

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Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey.

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senior data science engineer

Data Science

Amazon Redshift, Amazon Web Services, Data Mining

40 hrs/week

12+ months

Colombia

We are looking for a talented Senior Data Science Engineer to join our remote team. You will be responsible for developing and implementing machine learning models and working with our data scientists and software engineers to create predictive models.

We are looking for a talented remote Senior Data Science Engineer to help us create predictive models that can be used to improve our understanding of healthcare pricing and help people find affordable services As a Data Scientist, you will develop and implement machine learning models, work with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers, and develop and refine algorithms to identify healthcare trends and predict healthcare costs. Additionally, you will develop personalization and recommendation models, analyze product performance and customer insights, and work to perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements.

responsibilities

Develop and implement machine learning models
Work with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers
Develop and refine algorithms to identify healthcare trends and predict healthcare costs
Develop personalization and recommendation models, analyze product performance and customer insights
Perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements
Price comparison and price recommendations
Demand forecasting/supply shortage
Customer segmentation/analytical atop of web analytics data

requirements

3+ years of experience in Data Science
Must have skills in Amazon Redshift, Amazon Web Services
Experience with Data Mining, Machine Learning Model Development
Knowledge of PostgreSQL
Familiarity with Predictive Analysis
Experience with data management and modeling
Expertise in statistical analysis and modeling
Strong communication skills in English (Upper-Intermediate level)

nice to have

Experience with Amazon EMR and Apache Spark
Experience with recommendation systems
Knowledge of Python

senior data scientist

Data Science

Amazon Redshift, Amazon Web Services, Data Mining

40 hrs/week

12+ months

Colombia

We are looking for a talented Senior Data Scientist to join our remote team.

We are looking for a talented remote Senior Data Scientist to help us create predictive models that can be used to improve our understanding of healthcare pricing and help people find affordable services. The ideal candidate will have experience with a variety of data analysis tools and be able to work independently in a remote environment. As a Senior Data Scientist, you will be responsible for developing and implementing machine learning models and working with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers. Additionally, you will be responsible for developing personalization and recommendation models, analyzing product performance and customer insights, and driving product recommendations within tightly constrained requirements.

responsibilities

Develop and implement machine learning models
Work with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers
Develop and refine algorithms to identify healthcare trends and predict healthcare costs
Develop personalization and recommendation models, analyze product performance and customer insights
Work with MDM and perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements
Perform price comparison and provide price recommendations
Perform demand forecasting and supply shortage analysis
Perform customer segmentation and analytical tasks atop of web analytics data
Prepare comprehensive reports and deliver presentations on test outcomes

requirements

Minimum of 3 years of experience in data science or a related field
Strong skills in Amazon Redshift, Amazon Web Services
Experience with Data Mining, Machine Learning Model Development, PostgreSQL, and Predictive Analysis
Proficiency in statistical analysis and modeling
Ability to work independently in a remote environment
Excellent written and verbal communication skills in English (Upper-Intermediate level)

nice to have

Experience with Amazon EMR and Apache Spark
Proficiency in Python
Experience with recommendation systems

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a talented remote Data Solution Architect to join our team and work on a cutting-edge project in the field of data analytics.

In this role, you will lead a team of engineers in the development of advanced data solutions using Apache Spark, Databricks, Python, and Scala. You will be responsible for designing and implementing scalable and reliable data pipelines, as well as optimizing data processing and storage. If you have a passion for big data and the skills to lead a team to success, we invite you to apply for this exciting opportunity.

responsibilities

Design and develop data pipelines using Apache Spark and Databricks, ensuring data quality and reliability
Collaborate with cross-functional teams to understand business requirements and design efficient data solutions
Implement and maintain data ingestion processes, including data validation and cleansing
Develop and maintain data processing workflows using Python, Scala, and other relevant languages
Monitor and optimize data pipelines to ensure efficient and scalable data processing
Contribute to the development of data architecture and infrastructure, including the selection and implementation of appropriate tools and technologies
Document data pipelines and processes, ensuring clear and concise communication with stakeholders

requirements

Minimum of 7 years of real production experience in Data Software Engineering
Minimum of 2 projects in a technical team lead role with constant hands-on work during the last 3 years
At least 1 year of experience as a Data Solution Architect
Hands-on experience with Apache Spark and Databricks, showcasing your ability to develop and maintain data pipelines
Strong programming skills in Python, Scala, and other relevant languages, enabling you to write efficient and scalable code
Experience working with Microsoft Azure, including Azure Data Factory, Azure Data Lake Storage, and Azure Databricks
Completed Databricks Data Engineering Professional certification, showcasing your knowledge and expertise in Databricks
English at an Upper-Intermediate level or higher, enabling effective communication
Fluent spoken and written Spanish

nice to have

Experience with other Big Data technologies, such as Hadoop, Kafka, or Cassandra
Experience with containerization technologies, such as Docker or Kubernetes
Knowledge of Data Science and Machine Learning concepts
Experience with Agile methodologies and project management tools, such as JIRA or Trello

lead data scientist

Data Science

Amazon Redshift, Amazon Web Services, Data Mining

40 hrs/week

12+ months

Colombia

We are seeking a talented remote Lead Data Scientist to join our team and help us create predictive models that will improve our understanding of healthcare pricing and assist people in finding affordable services.

As a Lead Data Scientist, you will be responsible for developing and implementing machine learning models, refining algorithms to identify healthcare trends and predict healthcare costs, and working with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers. Additionally, you will be responsible for developing personalization and recommendation models, analyzing product performance and customer insights, and driving product recommendations within tightly constrained requirements.

responsibilities

Lead a team of data scientists and software engineers
Develop and implement machine learning models
Create predictive models that can be used by healthcare providers and consumers
Refine algorithms to identify healthcare trends and predict healthcare costs
Drive product recommendations within tightly constrained requirements
Create price comparison and price recommendations
Develop personalization and recommendation models, analyze product performance and customer insights
Perform data alignment and compatibility tasks to drive product recommendations
Conduct customer segmentation/analysis atop of web analytics data
Perform demand forecasting/supply shortage analysis

requirements

Minimum of 5 years experience in Data Science
Experience leading a team of data scientists and software engineers
Proficiency in Amazon Redshift, Amazon Web Services
Experience with Data Mining, Machine Learning Model Development, PostgreSQL, and Predictive Analysis
Strong understanding of data mining and machine learning concepts and techniques
Ability to identify healthcare trends and predict healthcare costs
Excellent communication and presentation skills in English (Upper-Intermediate level)

nice to have

Experience with Amazon EMR and Apache Spark
Experience with recommendation systems
Knowledge of Python

lead data scientist

Data Science

Amazon Redshift, Amazon Web Services, Data Mining

40 hrs/week

12+ months

Colombia

We are seeking a talented Lead Data Scientist to join our remote team and help us create predictive models to enhance our understanding of healthcare pricing and make affordable healthcare services more accessible.

As the Lead Data Scientist, you will be responsible for developing and refining algorithms to identify healthcare trends, predict healthcare costs, and create personalization and recommendation models. You'll work closely with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers.

responsibilities

Lead the team of data scientists and software engineers
Develop and implement machine learning models to enhance our understanding of healthcare pricing and make affordable healthcare services more accessible
Work with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers
Develop and refine algorithms to identify healthcare trends and predict healthcare costs
Develop personalization and recommendation models, analyze product performance, and customer insights
Work with MDM and perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements
Perform price comparison and price recommendations, demand forecasting, and supply shortage analysis
Perform customer segmentation and analytical atop of web analytics data
Prepare comprehensive reports and deliver presentations on test outcomes

requirements

5+ years of experience in Data Science
Excellent leadership skills, with experience leading a team of data scientists and software engineers
Expertise in Amazon Redshift and Amazon Web Services
Experience with Data Mining, Machine Learning Model Development, PostgreSQL, and Predictive Analysis
Experience in developing and implementing machine learning models
Experience in personalization and recommendation models, analyzing product performance, and customer insights
Experience working with MDM and performing other data alignment and compatibility tasks
Strong analytical skills, with the ability to develop and refine algorithms to identify healthcare trends and predict healthcare costs
Strong written and verbal communication skills in English (Upper-Intermediate level)

nice to have

Knowledge of Python
Experience with recommendation systems
Experience with Amazon EMR and Apache Spark

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a skilled remote Data Solution Architect with expertise in Databricks, to join our team, working with a leading provider of data-driven solutions for businesses worldwide.

We are seeking a skilled remote Data Solution Architect with expertise in Databricks , to join our team, working with a leading provider of data-driven solutions for businesses worldwide. In this position, you will be responsible for designing and implementing complex data solutions, utilizing your extensive knowledge of data software engineering and Big Data technologies. You will work closely with cross-functional teams to identify and analyze business requirements, providing valuable insights and recommendations to support data-driven decision-making. If you are passionate about data and have experience in designing and implementing scalable data solutions, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement complex data solutions, utilizing your expertise in Big Data technologies and programming languages
Collaborate with cross-functional teams to identify and analyze business requirements, providing valuable insights and recommendations to support data-driven decision-making
Develop and optimize data pipelines, ensuring scalability, reliability, and performance
Implement data security and privacy measures, ensuring compliance with data protection regulations
Monitor and analyze data performance metrics, identifying and addressing potential issues and bottlenecks
Maintain and update data documentation, ensuring accuracy and completeness
Participate in code reviews, offering input on code quality and potential improvements

requirements

Minimum of 7 years of professional experience in Data Software Engineering
Minimum of 2 projects in a technical team lead role with constant hands-on work during the last 3 years
At least 1 year of experience as a Data Solution Architect
Expertise in Apache Spark, Databricks, and other Big Data technologies
Experience in programming languages such as Python and Scala
Practical experience with Microsoft Azure and other cloud-based platforms
Completed Databricks Data Engineering Professional certification
Strong analytical and problem-solving skills, allowing you to identify and analyze complex business requirements
Excellent organizational skills and attention to detail, crucial for meticulous data engineering efforts
Ability to work independently and manage multiple projects simultaneously, maintaining a high level of performance even under pressure
Fluent spoken and written English and Spanish at an Upper-Intermediate level or higher

nice to have

Experience in data modeling, data warehousing, and database design
Knowledge of machine learning and data science concepts and tools
Experience with data visualization tools such as Tableau or Power BI
Experience with containerization technologies such as Docker or Kubernete

senior data scientist

Data Science

Amazon Redshift, Amazon Web Services, Data Mining

40 hrs/week

12+ months

Colombia

We are seeking a talented remote Senior Data Scientist to help us create predictive models to improve the pricing and accessibility.

We are seeking a talented remote Senior Data Scientist to help us create predictive models that can be used to improve our understanding of the pricing and help people find affordable services. As a Senior Data Scientist on our remote project, you will work with a variety of data analysis tools and be able to work independently. You will also develop and implement machine learning models, refine algorithms to identify healthcare trends and predict healthcare costs, develop personalization and recommendation models, and analyze product performance and customer insights.

responsibilities

Develop and implement machine learning models
Work with our data scientists and software engineers to create predictive models that can be used by providers and consumers
Develop personalization and recommendation models, analyze product performance and customer insights
Work with MDM and perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements
Price comparison and price recommendations
Demand forecasting/supply shortage
Customer segmentation/analytical atop of web analytics data

requirements

3+ years of experience in Data Science
Must have skills in Amazon Redshift, Amazon Web Services, Data Mining, Machine Learning Model Development
Experience with PostgreSQL, Predictive Analysis
Ability to work independently and as part of a team
Experience in developing personalization and recommendation models
Experience in statistical analysis and modeling
Upper-intermediate level of English

nice to have

Knowledge of Python
Experience with Amazon EMR and Apache Spark
Experience with recommendation systems

lead data scientist

Data Science

Amazon Redshift, Amazon Web Services, Data Mining

40 hrs/week

12+ months

Colombia

We are seeking a talented Lead Data Scientist to join our remote team.

The successful candidate will be responsible for leading the team, developing and implementing machine learning models, and working with our data scientists and software engineers to create predictive models that can be used by healthcare providers and consumers. You will be expected to develop and refine algorithms to identify healthcare trends and predict healthcare costs, as well as developing personalization and recommendation models, analyzing product performance, and customer insights.

responsibilities

Lead the team of data scientists
Develop and implement machine learning models
Work with data scientists and software engineers to create predictive models for healthcare providers and consumers
Develop and refine algorithms to identify healthcare trends and predict healthcare costs
Develop personalization and recommendation models, analyze product performance and customer insights
Work with MDM and perform other data alignment and compatibility tasks to drive product recommendations within tightly constrained requirements
Price comparison and price recommendations
Demand forecasting/supply shortage
Customer segmentation/analytical atop of web analytics data

requirements

5+ years experience in Data Science
Extensive experience in Amazon Redshift, Amazon Web Services
Proficiency in Data Mining, Machine Learning Model Development, PostgreSQL, and Predictive Analysis
Strong knowledge of statistical analysis and modeling
Ability to lead and manage a team of data scientists
Ability to work independently in a remote environment
Excellent written and verbal communication skills in English (Upper-Intermediate level)

nice to have

Experience with Amazon EMR and Apache Spark
Experience with recommendation systems
Knowledge of Python

lead big data engineer

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working with a global leader in the technology industry.

In this role, you will be responsible for leading a team of engineers to design and develop data solutions using Databricks and other Big Data technologies. You will work closely with cross-functional teams to ensure the delivery of high-quality solutions that meet business requirements. In this position, you will play a crucial role in driving innovation and growth in our organization. Fluency in Spanish and Databricks Data Engineering Professional certification are required.

responsibilities

Lead the design and development of data solutions using Databricks and other Big Data technologies
Collaborate with cross-functional teams to understand business requirements and provide technical guidance and support
Mentor and lead a team of engineers to ensure the delivery of high-quality solutions
Identify and resolve technical issues, ensuring the timely delivery of projects
Contribute to the development of best practices and standards for data engineering
Stay up-to-date with the latest Big Data technologies and trends, sharing knowledge with the team
Provide technical guidance and support to other teams within the organization

requirements

Minimum of 5 years of experience in Data Software Engineering, with a focus on Big Data technologies
1+ years of relevant leadership experience
Expertise in Apache Spark and Databricks, with a proven track record of designing and developing complex data solutions
Proficiency in programming languages such as Python and Scala, enabling you to write efficient and scalable code
Experience with Microsoft Azure, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics
Excellent leadership skills, including the ability to mentor and lead a team of engineers
Strong problem-solving skills, with the ability to identify and resolve complex technical issues
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must-have

nice to have

Experience with data streaming technologies such as Kafka or Kinesis
Familiarity with machine learning and data science concepts and tools
Experience with cloud-based data solutions such as AWS or Google Cloud Platform
Experience with distributed computing and containerization technologies such as Kubernetes or Docker

data solution architect

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a talented remote Data Solution Architect to join our team and work on a cutting-edge project in the field of data analytics.

responsibilities

Lead a team of engineers in the development of advanced data solutions using Apache Spark, Databricks, Python, and Scala
Design and implement scalable and reliable data pipelines, optimizing data processing and storage
Collaborate with cross-functional teams to understand business and data requirements, and develop solutions that meet those needs
Troubleshoot and optimize data pipelines and processing, ensuring high performance and reliability
Mentor and train junior engineers, providing guidance and support in their professional development
Stay up-to-date with the latest trends and technologies in big data processing and analytics, and share knowledge with the team
Ensure the quality and accuracy of data solutions, and maintain high standards of code quality and documentation

requirements

Minimum of 7 years of practical hands-on experience in Data Software Engineering
At least 2+ projects in a technical team lead role with constant hands-on work during the last 3 years
1+ years of experience as a Data Solution Architect
Expertise in Apache Spark and Databricks, with experience in developing and optimizing Spark jobs and clusters
Proficiency in Python and Scala, with experience in developing data pipelines and ETL processes
Experience in designing and implementing scalable and reliable data solutions, including data processing, storage, and retrieval
Strong leadership skills, with experience in leading and mentoring a team of engineers
Excellent communication skills and the ability to work collaboratively with cross-functional teams
Ability to troubleshoot and optimize data pipelines and processing, ensuring high performance and reliability
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must

nice to have

Completed Databricks Data Engineering Professional certification
Experience with cloud-based data solutions, such as AWS or Azure
Experience with data visualization tools, such as Tableau or Power BI

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Reviews from Anywhere People
“I value remote work for the opportunity to maintain a work-life balance. EPAM Anywhere is a perfect match for me due to the remote possibilities and its substantial organizational background, so I accepted an offer without hesitation. EPAM has accumulated one of the most enormous, well-structured knowledge bases I have ever come across, and it is a real plus to have access to it. I also chose Anywhere for: stability; the transparency of expectations for both sides; its respect for each person who invests their time and energy in the company; and for the training opportunities that EPAM offers, which are qualitatively different from many other companies.”
YuliiaSenior Software Testing Engineer, Ukraine, Kyiv

Inspiring opportunities for freelance Data scientists

It is said that data is the new oil. As AI disrupts the world of technology, Data Science becomes a featured star of the show. It is no longer an enigmatic toy for geeks only but a commonplace essential for every successful business.

A reliable Data Scientist is in the spotlight. If you are such a pro, we at EPAM Anywhere are excited to make you an offer. We partner with leading IT brands worldwide helping them meet the best industry talents, just like you are. We’ll find you the Data Science job of your dream, design an individual growth plan for you, and help you with your fantastic career at every step.

Ready to apply for one of the Data Science jobs at EPAM Anywhere? Great! You’re just one step away. Take a minute and check on everything you need to apply.

The skill set required for freelance Data Science job

Hard skills you will need to take on Data Science freelance:

Proficiency in math, especially in statistics and algebra
Knowledge of Python, R, and SQL
Firm grip on machine-learning techniques
Comfortable with a data scientist’s toolkit (Hadoop, Hive, Spark, Gurobi, etc.)
Familiarity with Scala, Java, or C++ is an asset
Strong practical understanding of data architectures
Hands-on experience with advanced statistics, like regression, statistical tests, properties of distributions, etc

Soft skills necessary for Lead Data Scientist:

Excellency in written and verbal communications
The ability to coordinate across teams is a must for a Senior Data Scientist
Problem-solving attitude, an urge to master new technologies and techniques
At least B2 (upper-intermediate) level of written and spoken English

Freelance Data scientist responsibilities

Among underlying duties for every Lead Data Scientist are:

Collection of the data and automating the mining process
Preprocessing of data
Studying data, uncovering trends and patterns
Building predictive models using ML algorithms
Developing A/B testing frameworks and testing model quality
Auditing data integrity and improving its quality
Collaborating with developers, helping with business solutions, providing technical expertise, and mentoring

Open vacancies for Data scientists at EPAM Anywhere

Every ambitious data business is a Data Science business now. And they are dreaming about taking you aboard. If you’re ready to start your new Data Science freelance career, hesitate no more. Check out available jobs at EPAM Anywhere, find a Data Scientist vacancy of your dreams, and hit Apply!

Data Scientist Jobs

Inspiring opportunities for freelance Data scientists

The skill set required for freelance Data Science job

Freelance Data scientist responsibilities

Open vacancies for Data scientists at EPAM Anywhere

Related skills