Data Science Associate Job at Metyis (Barcelona)

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

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

At Applied Network Solutions (ANS), we bring together some of the most curious m...

Location

United States , Aurora

Salary:

100000.00 - 165000.00 USD / Year

Applied Network Solutions

Expiration Date

Until further notice

Requirements

Active TS/SCI clearance with Polygraph
A bachelor’s degree and 10 years of relevant experience. An associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
A 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 one 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. Experience in more than one area is strongly preferred.
Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
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.
Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)

Job Responsibility

plan, analyze, design, develop, test, secure, integrate, implement, operate, and maintain the custom solutions that ANS delivers

What we offer

Family Medical, Dental (w/ adult orthodontia) and Vision coverage
Pet Discount Program
PTO (Paid Time Off)
Maternity/ Paternity Leave
Supplemental Military Leave Pay
11 Paid Holidays
401(k) plan with 6% Company Contribution
Generous Professional Development Program
100% Employer paid Short- and Long-Term Disability
100% Employer paid Life Insurance

Forward Deployed Engineer - Data-as-a-Service

Snorkel AI is hiring data scientists and engineers who will work directly on Sno...

Location

United States , New York City; Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

2+ years of experience in data science and engineering roles
Strong practical experience with Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash)
Familiarity with LLM-based workflows and applying ML techniques in production contexts
Experience leveraging Backend APIs and interpreting associated technical documentation

Job Responsibility

Partner with the Sales Team on client discovery calls to provide technical depth, assess solution fit, and scope Data-as-a-Service opportunities
Develop and present tailored technical assets including specifications, data dictionaries, sample datasets, and client-specific demonstrations to illustrate feasibility and value
Define project scope and success criteria in collaboration with customer stakeholders and internal delivery teams, ensuring alignment on technical requirements and capacity
Design and execute calibration processes including baseline batches, benchmark reports, and evaluation frameworks that establish measurable project success metrics
Build and deploy evaluators, design and implement quality measurement systems to validate project outputs and ensure deliverables meet client expectations
Generate synthetic datasets by developing or adapting existing pipelines to accelerate client engagements and augment training data
Package and deliver production-grade datasets with standardized formatting, comprehensive documentation, and quality assurance
Configure and build custom applications and off-platform solutions for non-standard or specialized client requirements
Define production specifications and workflows, securing technical alignment with client teams to enable seamless go-live transitions
Provide ongoing technical support to Delivery Managers, addressing complex questions, resolving technical blockers, and supporting customer rebuttals

What we offer

Equity in the form of employee stock options

Fulltime

Associate Director, OutcomesAI

The Associate Director, OutcomesAI (OAI) will work closely with other team membe...

Location

United States , Boston

Salary:

100000.00 USD / Year

Project Evident

Expiration Date

Until further notice

Requirements

Bachelor’s degree required. Master’s preferred.
Experience working with diverse communities in strategic planning, data and evaluation, and a deep commitment to equitable outcomes.
8+ Years of experience working in the nonprofit or education sectors and in a consulting or technical assistance context.
5+ Years of experience in data science/technology adoption, leading high-performing teams, and delivering project and client engagements in education or workforce settings.
Experience using ML/AI to drive higher business performance or program outcomes.
Excellent oral and written communication skills, with a proven ability to write and copyedit clear and concise narratives and presentations.
Comfort with ambiguity and ability to respond adeptly to rapidly changing priorities, comfortable in an entrepreneurial environment with fast deadlines.
Demonstrated problem solver and active listener who seeks clarification, asks questions, and surfaces solutions.
Demonstrated experience managing clients and client projects.
Experience managing projects, processes, and teams, and proven ability to work under tight timelines, accurately assess problems, and develop solutions.

Job Responsibility

Engagement Management & Delivery (60%): Serve as project lead to deliver 1:1, 1:some, and 1:Many (i.e., cohort-style) engagements, responsible for projects that are on time, on budget, and high quality
Manage additional critical aspects of engagements, including creating and managing project plans
defining work streams
structuring and executing analyses
delegating responsibilities
deploying existing tools, resources, and frameworks
and providing actionable feedback.
Facilitate and support meetings, small cohorts, and larger communities of practice as needed (both in-person and virtual formats).
Incorporate program best practices and process improvements to strengthen the overall OAI program and support internal learning.
Work with the team and consultants to develop digital and non-digital content such as white papers and case studies, and create tools and resources.

What we offer

Comprehensive Benefits – Generous medical, dental, and vision plans, a 403(b) retirement plan with employer match, and life and disability insurance.
Flexible Time Off – Unlimited vacation days, Summer Fridays between Memorial Day and Labor Day, and organizational-wide closure from December 25 to January 1.

Fulltime

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Data Science Associate

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