Data Science Associate Job at Metyis (Barcelona)

Associate Digital Innovation Engineer - Data Science

We are looking for experienced data science professionals to be part of the data...

Location

India , Chennai

Salary:

Not provided

Buckman overview

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Data Science/Data Analytics, Applied Mathematics, Statistics, Computer Science or related science and technical field
Experience in developing predictive and deep data analytics solutions and optimization scenarios involving expertise in data extraction, analysis, and visualization
Hands-on work experience with open-source data analytics toolsets such as R, Python, etc.
Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.), machine learning (text mining, neural network, NLP, etc.), optimization (linear optimization, nonlinear optimization, stochastic optimization, etc.) methodologies
Exposure to data analytics and visualization platforms such as SAS, Rapidminer, MATLAB, Minitab, PowerBI, KNIME, PowerApps, etc.
Experience in cloud computing (Azure, AWS, etc.), data analytics architecture (Azure Machine Learning, Datalake analytics, Workbench, Stream Analytics, etc.) and data engineering technologies (Datalake, CosmosDB, Hadoop, SQL and No-SQL databases, etc.)
A demonstrated record of success with a verifiable portfolio of data science problems tackled in different domains
Strong communications skills in English and ability to work with global stakeholders effectively

Job Responsibility

Work closely with Buckman stakeholders to derive deep industry knowledge across leather, paper, water, and performance chemical industries
Help develop a data strategy for the company including collection of the right data, creation of the data science project portfolio, partnering with external providers and augmenting capabilities with additional internal hires
Communicating and developing relationship with key stakeholders and subject matter experts to tee up proofs of concept projects to demonstrate how data science can be used to solve problems in unique and novel ways
Working closely with a multi-disciplinary team consisting of sensor scientists, software engineers, network engineers, mechanical/electrical engineers, and chemical engineers in the development, and deployment of IoT solutions

Fulltime

Associate Data Engineer

At CVS Health, we’re building a world of health around every consumer and surrou...

Location

United States , Irving, TX

Salary:

122949.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Data Science, Statistics, Mathematics, Analytics, or a related field
completion of a university-level course, research project, internship, or thesis in each of the following: GIT
Java, Python, or R
XML, JSON, HTML, CSS, or JavaScript
Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
SAS or SQL
Spark, PySpark, or Scala
Machine learning and NLP
Extract/Transform/Load (ETL)
Data warehousing

Job Responsibility

Develop and build large-scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business applications
develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing that improve existing systems and expand capabilities
collaborate with Data Science team to transform data and integrate algorithms and models into automated processes
test and maintain systems and troubleshoot malfunctions
leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines
utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems
build data marts and data models to support Data Science and other internal customers
integrate data from a variety of sources and ensure adherence to data quality and accessibility standards
analyze current information technology environments to identify and assess critical capabilities and recommend solutions to complex business problems

What we offer

Full range of medical, dental, and vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
fully-paid term life insurance plan
short-term and long term disability benefits
well-being programs
education assistance
free development courses
CVS store discount
discount programs with participating partners

Fulltime

Associate Data Engineer

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s degree (or equivalent work experience) in a STEM field
Proficiency in Python or other modern programming language development experience
Proficiency in SQL and relational databases experience

Job Responsibility

influence product teams
collaborate with Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Senior Associate Medical Data Analyst

The Senior Associate Medical Data Analyst will play a pivotal role in supporting...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Engineering, Mathematics, Healthcare or a related field and 1+ year(s) of Medical Data Analytics, Commercial Data Analytics, Primary Market Research, Performance Reporting or related experience
Master’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 3+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience
Bachelor’s degree in Computer Science, Engineering, Mathematics, Healthcare or a related field and 5+ years of Medical Data Analytics, Commercial Data Analytics, Market Research, Performance Reporting or related experience

Job Responsibility

Translate complex analytical findings into clear, data-driven recommendations that enhance MSL engagement strategies and contribute to improved patient outcomes
Conduct data analysis across structured and unstructured datasets including but not limited to HCP sentiment, scientific engagement data, and publications
Design, develop, and maintain dashboards, reports, and visualizations to track performance, measure outcomes, and identify actionable trends using Python, R, SQL, Tableau, Power BI, or similar platforms
Understand pharmaceutical ecosystem and data sets including prescription (ex. IQVIA NPA), outlet (ex. IQVIA DDD), Lab as well as medical and pharmacy claims (ex. Symphony Claims.)
Establish and track KPIs to assess analytics impact and ensure alignment with business goals
Develop and deliver ad hoc data analyses that distill complex medical data into clear, actionable insights for stakeholders
Develop reusable code components, templates, and frameworks to support analytics scalability and lifecycle management
Collaborate with data science, IT, engineering, and external partners to ensure data access, integrity, governance, and seamless integration across platforms and systems
Contribute to Agile development workflows by collaborating in sprint planning, refining user stories, and delivering iterative analytics solutions aligned with business priorities
Continuously evaluate and introduce advanced techniques in visualization, predictive analytics, and automation

Sr. Associate, Data Analyst – Internal Audit

This role supports the Head of Internal Audit, and the Sr. Associate will be ins...

Location

United States , San Rafael

Salary:

89600.00 - 123200.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
One of more of Certified Internal Auditor, Certified Information Systems Auditor, or Certified Fraud Examiner designation preferred
3-5 years in internal audit, Compliance, Legal, advisory or global corporation, or a combination hereof
Biotech/Pharmaceutical/Life Science experience preferred
Proficiency or working knowledge of MS Copilot, Analyst, Researcher Agents
Proficiency in data analytics tools (e.g., SQL, Python, R, Alteryx) and visualization platforms (e.g., Tableau, Power BI)
Experience working with ERP systems (e.g., SAP, Oracle) and audit management tools
Excellent analytical, problem-solving, and communication skills
Ability to work with ambiguity, and respond to a rapidly changing, highly innovative environment
Candidate must be skilled and exhibit professional savvy and ability to interact with various levels of management

Job Responsibility

Participate in audit scoping discussions with cross-functional teams
Design and implement data analytics procedures that support audit scoping activities
Coordinate with external subject matter experts
Identifies and collects applicable data to support audit testing
Performs analytics testing
Creates the initial audit testing workbook
Collects relevant data / system reports
Analyzes large datasets to identify patterns, outliers, and potential issues
Documents conclusions from testing
Communicates results of audit testing

What we offer

Discretionary annual bonus
Discretionary stock-based long-term incentives
Paid time off
Company-sponsored medical, dental, vision, and life insurance plans

Fulltime

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

6+ years experience working in digital media and marketing environment
6+ years experience working with media data
Strong client-facing experience at a digital media or performance marketing agency or similar environment
Experience or familiarity with statistical concepts
Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
Strong proficiency in Excel, Google Sheets, and Google Slides
Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
Experience with Customer Data Platforms such as Tealium or Segment

Job Responsibility

Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Global Category Associate Director- Data Analytics and AI Platforms

We are seeking an individual who thrives in ambiguity, capable of driving catego...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Familiarity with procurement platforms such as Ariba, as well as ERP systems and advanced analytics tools to support decision-making and process automation
Excellent problem solving and organizational skills
Experience leading large, cross-functional teams and managing complex global projects in a matrixed environment
Experience managing analytics and AI/ML software procurement
Understanding of cloud data ecosystems (e.g., Snowflake, Databricks, AWS/Azure/Google AI)
Strong analytical skills with ability to assess large data sets and supplier performance
Doctorate degree and 14 years of Global Strategic Sourcing, Procurement or Commercial experience OR Master’s degree and 15 to 17 years & above experience of Global Strategic Sourcing, Procurement or Commercial experience OR Bachelor’s degree and 17-18 years of Global Strategic Sourcing, Procurement or Commercial experience
And 2 years of managerial experience directly managing people and/or leading teams, projects, or programs.

Job Responsibility

Lead and evolve the category strategy for Data Analytics and AI Platforms, enabling Amgen to leverage data-driven insights across R&D, Commercial, Operations and G&A functions
Partner with Digital, Data Science, and IT leaders to standardize platforms such as data lakes, analytics, and AI/ML environments
Evaluate emerging suppliers in data, AI, and predictive analytics to incorporate innovation responsibly
Design contracts balancing access to innovation with compliance, governance, and cost efficiency
Develop multi-year sourcing roadmaps to ensure data and AI platforms meet enterprise growth and compliance needs
Provide strategic oversight as the global lead for Software category and sourcing, ensuring alignment between category strategies and Amgen’s evolving business needs
Act as a trusted advisor to ensure that procurement initiatives are aligned with broader organizational objectives
Guide and facilitate collaboration across cross-functional teams and regional stakeholders
Ensure that all Software procurement activities are managed in compliance with regulatory, contractual, and operational risk requirements
Partner with Legal, Compliance, Data Privacy, and Cybersecurity teams to maintain oversight of risk mitigation strategies

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Data Science Associate

Metyis

Location:
Spain , Barcelona

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 24, 2026

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