

Akkodis
Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist II on a contract basis in Northborough, MA (Hybrid) with a pay rate of $62-$63/hr. Key skills include Power BI, Python, ETL/ELT, and experience with SaaS platforms and API-based data sources.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
496
-
ποΈ - Date
April 21, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Yes
-
π - Location detailed
Northborough, MA
-
π§ - Skills detailed
#Cloud #Data Ingestion #Data Pipeline #Complex Queries #Python #JSON (JavaScript Object Notation) #Database Performance #Indexing #Data Modeling #Security #"ETL (Extract #Transform #Load)" #Data Warehouse #Databases #Data Architecture #SaaS (Software as a Service) #dbt (data build tool) #Datasets #ML (Machine Learning) #Data Science #AI (Artificial Intelligence) #Data Transformations #API (Application Programming Interface) #Snowflake #Migration #Computer Science #SQL Server #SQL (Structured Query Language) #BI (Business Intelligence) #Automation #Scala #Forecasting #Trend Analysis #Microsoft Power BI
Role description
Akkodis is seeking a Data Scientist II for a Contract with a client located Northborough- MA (Hybrid), strong-hands on experience with SaaS platforms, API based data sources, data architecture principles, Power BI (Mandatory), migration to Snowflake, ETL/ELT, Python, data ingestion, transformation, automation, database definition and manipulation languages (DDL and DML), and JSON.
Rate Range: $62/hr - $63/hr (The rate may be negotiable based on experience, education, geographic location, and other factors)
Client Note:
Power BI is a must
Overview:
Data Science Contractor with a strong data development/engineering and data modeling focus to support the development of a scalable data foundation for reporting, analytics, and future AI initiatives. As part of the transition to a new incident management system, this role will build and maintain the upstream data structures needed to enable reliable, efficient, and scalable analytics while aligning with future enterprise data platform plans.
Key Responsibilities:
β’ Design and implement data pipelines to ingest data from APIs into a centralized database
β’ Develop and maintain structured analytical datasets such as fact and dimension tables
β’ Integrate legacy SQL Server data with new API-based data to support consistent reporting across time
β’ Implement incremental data loading and manage schema changes from evolving API sources
β’ Understanding of data architecture principles, including designing data solutions with future scalability and platform migration (e.g., cloud data warehouses) in mind
β’ Establish data validation and quality checks to ensure accuracy and reliability
β’ Optimize data models for query performance and reporting efficiency
β’ Design transformation logic to reduce complexity within Power BI
β’ Collaborate with analytics and AI teams to support reporting, modeling, and AI use cases
β’ Apply platform-agnostic design patterns to support future migration to Snowflake
β’ Document data models, pipelines, and assumptions for maintainability and knowledge transfer
β’ Implement and manage recurring data refresh processes to ensure analytical datasets are updated on an appropriate cadence for reporting and analytics needs
Required Skills & Experience:
β’ Bachelorβs degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of hands-on experience
β’ Experience supporting Power BI or similar BI tools, including building models optimized for reporting performance
β’ Understanding of predictive analytics concepts and experience designing data structures that support forecasting, trend analysis, and machine learning workloads
β’ Strong proficiency in SQL, including writing complex queries and designing relational schemas
β’ Proven experience designing and maintaining relational databases or analytical data warehouses
β’ Hands-on experience with database definition and manipulation languages (DDL and DML) to create, modify, and maintain tables and structures
β’ Experience building and managing data pipelines using APIs, including incremental data loading
β’ Proficiency in Python or a similar language for data ingestion, transformation, and automation
β’ Solid understanding of ETL/ELT concepts and managing data transformations upstream of reporting tools
β’ Experience handling semi-structured data (e.g., JSON) and managing schema evolution
β’ Understanding of data architecture principles, including designing data solutions with future scalability and platform migration in mind
Preferred Qualifications
β’ Experience working with SaaS platforms and API based data sources
β’ Exposure to modern data transformation or modeling frameworks (e.g., dbt or similar approaches)
β’ Familiarity with database performance optimization concepts such as indexing and query tuning
β’ Experience working in cloud-based data environments or modern data platforms (e.g., Snowflake or equivalent)
If you are interested in this job, you can click APPLY NOW For other opportunities available at Akkodis go to www.akkodis.com. If you have questions about the position, please contact Nitish Kumar at Nitish.Kumar2@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled:
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Β· The California Fair Chance Act
Β· Los Angeles City Fair Chance Ordinance
Β· Los Angeles County Fair Chance Ordinance for Employers
Β· San Francisco Fair Chance Ordinance
Akkodis is seeking a Data Scientist II for a Contract with a client located Northborough- MA (Hybrid), strong-hands on experience with SaaS platforms, API based data sources, data architecture principles, Power BI (Mandatory), migration to Snowflake, ETL/ELT, Python, data ingestion, transformation, automation, database definition and manipulation languages (DDL and DML), and JSON.
Rate Range: $62/hr - $63/hr (The rate may be negotiable based on experience, education, geographic location, and other factors)
Client Note:
Power BI is a must
Overview:
Data Science Contractor with a strong data development/engineering and data modeling focus to support the development of a scalable data foundation for reporting, analytics, and future AI initiatives. As part of the transition to a new incident management system, this role will build and maintain the upstream data structures needed to enable reliable, efficient, and scalable analytics while aligning with future enterprise data platform plans.
Key Responsibilities:
β’ Design and implement data pipelines to ingest data from APIs into a centralized database
β’ Develop and maintain structured analytical datasets such as fact and dimension tables
β’ Integrate legacy SQL Server data with new API-based data to support consistent reporting across time
β’ Implement incremental data loading and manage schema changes from evolving API sources
β’ Understanding of data architecture principles, including designing data solutions with future scalability and platform migration (e.g., cloud data warehouses) in mind
β’ Establish data validation and quality checks to ensure accuracy and reliability
β’ Optimize data models for query performance and reporting efficiency
β’ Design transformation logic to reduce complexity within Power BI
β’ Collaborate with analytics and AI teams to support reporting, modeling, and AI use cases
β’ Apply platform-agnostic design patterns to support future migration to Snowflake
β’ Document data models, pipelines, and assumptions for maintainability and knowledge transfer
β’ Implement and manage recurring data refresh processes to ensure analytical datasets are updated on an appropriate cadence for reporting and analytics needs
Required Skills & Experience:
β’ Bachelorβs degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of hands-on experience
β’ Experience supporting Power BI or similar BI tools, including building models optimized for reporting performance
β’ Understanding of predictive analytics concepts and experience designing data structures that support forecasting, trend analysis, and machine learning workloads
β’ Strong proficiency in SQL, including writing complex queries and designing relational schemas
β’ Proven experience designing and maintaining relational databases or analytical data warehouses
β’ Hands-on experience with database definition and manipulation languages (DDL and DML) to create, modify, and maintain tables and structures
β’ Experience building and managing data pipelines using APIs, including incremental data loading
β’ Proficiency in Python or a similar language for data ingestion, transformation, and automation
β’ Solid understanding of ETL/ELT concepts and managing data transformations upstream of reporting tools
β’ Experience handling semi-structured data (e.g., JSON) and managing schema evolution
β’ Understanding of data architecture principles, including designing data solutions with future scalability and platform migration in mind
Preferred Qualifications
β’ Experience working with SaaS platforms and API based data sources
β’ Exposure to modern data transformation or modeling frameworks (e.g., dbt or similar approaches)
β’ Familiarity with database performance optimization concepts such as indexing and query tuning
β’ Experience working in cloud-based data environments or modern data platforms (e.g., Snowflake or equivalent)
If you are interested in this job, you can click APPLY NOW For other opportunities available at Akkodis go to www.akkodis.com. If you have questions about the position, please contact Nitish Kumar at Nitish.Kumar2@akkodisgroup.com
Equal Opportunity Employer/Veterans/Disabled:
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Β· The California Fair Chance Act
Β· Los Angeles City Fair Chance Ordinance
Β· Los Angeles County Fair Chance Ordinance for Employers
Β· San Francisco Fair Chance Ordinance






