Sr. Data Scientist, Product Insights Job at Catawiki (Lisbon)

Sr. Product Manager - AI

In this role, you will be joining the Product Management team reporting to the S...

Location

India , Hyderabad

Salary:

Not provided

Highspot

Expiration Date

Until further notice

Requirements

5–8 years of PM experience in B2B SaaS, ideally in sales enablement or learning tech, with a proven ability to ship products in agile environments
2+ years working with AI/ML teams, including experience in NLP, NLU, or Generative AI applications
Skilled at leading cross-functional teams to deliver high-quality, end-to-end product experiences across complex user scenarios with multiple personas
Strong problem-solver with a track record of turning ambiguous inputs into structured roadmaps and impactful outcomes
Comfortable working with technical teams—able to discuss trade-offs with engineers and collaborate with data scientists on AI strategy
Exceptional communication and stakeholder management skills, with the ability to align executives, sales teams, and designers
Highly detail-oriented and user-obsessed, with a passion for crafting polished, intuitive experiences that drive adoption
Resilient in fast-paced, ambiguous environments, with the ability to prioritize, multitask, and go beyond role boundaries when needed

Job Responsibility

You will work with customers and stakeholders to create a strategic roadmap, prioritize problems, and define requirements, then manage the backlog through the product development process from discovery to general availability
You will become an expert on our software, customer, and our market, as well as be able to identify, prioritize and execute on both tactical and strategic projects
You will collect and analyze feedback from customers, stakeholders and other teams to shape requirements, features and end products
You will dig deep into customer and usage data to identify opportunities and evaluate the success of our efforts
Own the roadmap for AI features related to coaching insights, rep scoring, skill reinforcement, and conversation intelligence
Drive discovery with customers, internal SMEs, and sales leaders to uncover pain points and surface areas where AI can improve productivity, engagement, or skill growth
Work across systems—analytics, content, LMS, and CRM—to unify data into actionable insights
Validate new capabilities with customers using prototypes, mockups, and early betas
measure adoption and iterate quickly
Define and measure key success metrics (e.g., coaching engagement, learning retention, time-to-proficiency)

Fulltime

Senior Data Engineer

Our Data Engineering Team is comprised of data experts. We build world-class dat...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience with 5+ years of professional experience as a Sr. Data Engineer or in a similar role
Strong programming skills using Python
Working knowledge of relational databases and query authoring (SQL)
Experience designing data models for optimal storage and retrieval to meet product and business requirements
Experience building scalable data pipelines using Spark (SparkSQL) with Airflow scheduler/executor framework or similar scheduling tools
Experience working with AWS data services or similar Apache projects (Spark, Flink, Hive, and Kafka)
Understanding of Data Engineering tools/frameworks and standards to improve the productivity and quality of output for Data Engineers across the team
Well versed in modern software development practices (Agile, TDD, CICD)

Job Responsibility

You'll partner with the product analytics and data scientist team to build the data solutions that allow them to obtain more insights from our data and use that to support important business decisions
You'll work with different stakeholders to understand their needs and architect/build the data models, data acquisition/ingestion processes and data applications to address those requirements
You'll add new sources, code business rules, and produce new metrics that support the product analysts and data scientists
You'll be the data domain expert who understand all the nitty-gritty of our products
You'll own a problem end-to-end
You'll improve data quality by using & improving internal tools/frameworks to automatically detect DQ issues

What we offer

health and wellbeing resources
paid volunteer days

Data Scientist

The Core Analytics & Science Team (CAS) is Uber's primary science organisation, ...

Location

India , Bangalore

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields
6+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions
Excellent understanding of statistical principles backed by an academic foundation
Advanced SQL expertise
Experience with either Python for data analysis
Significant experience in setting up and evaluation of complex experiments
Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways
Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar)

Job Responsibility

Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
Design experiments and interpret the results to draw detailed and impactful conclusions
Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines
Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives

Sr. Data Scientist

We are currently seeking a Sr. Data Scientist (REMOTE) to join our team in Mexic...

Location

Mexico

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

PHD
2 yrs of work experience
Manufacturing experience (machine data, IOT data)
Computer vision/Gen AI
Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively
Proficient in analyzing and modeling big data utilizing statistical, machine learning, deep learning, and computer vision techniques
Expertise in transforming ambiguous questions into impactful experiments, analysis, or models
Familiarity with modeling requirements for Customer 360 and Customer Journey
Experience with Machine Learning platforms (AWS SageMaker, Databricks), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau)
Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable

Job Responsibility

Collaborate closely with business teams to ideate and align on Data Science solutions for addressing diverse business challenges
Perform exploratory data analysis (EDA) on source data from the Big Data Platform data lake, Data Science Platform, and other relevant Battery Manufacturing datasets to address specific use cases
Develop, maintain, and enhance Machine Learning (ML), Deep Learning (DL) and Computer Vision (CV) (Must have) models using transformed data, primarily leveraging Python and Spark-ML algorithms
Apply optimization techniques, including hyperparameter tuning, to improve the performance of ML and DL models
Provide decision-support analytics to assist in business strategy formulation or address specific business challenges when needed
Actively participate in daily stand-ups, weekly sprint planning sessions, quarterly planning, and other sprint ceremonies, providing progress updates and collaborating with the team
Engage in ideation sessions with business user groups to gather requirements and ensure alignment with business objectives
Present insights, findings, and results clearly to product owners and stakeholders, ensuring they understand and can make informed decisions
Contribute to validating and prioritizing the product backlog, managing risks, and ensuring the smooth execution of sprint tasks
Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualizations and presentations

Sr Data Scientist

Identifies business trends and problems through complex data analysis. Interpret...

Location

United States , SANTA ROSA

Salary:

135600.00 - 151300.00 USD / Year

First American Financial

Expiration Date

Until further notice

Requirements

Bachelor’s degree or equivalent experience in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Economics, or related discipline
Master’s or PhD preferred
5–7+ years of professional experience building, validating, deploying, and monitoring predictive and machine learning models in production environments
Strong programming expertise in Python with hands-on experience building end-to-end ML solutions
Experience with MLflow (or similar model lifecycle tools) for experiment tracking, model versioning, and deployment management
Experience working with SQL and large-scale data processing frameworks such as Apache Spark
Experience designing scalable data solutions in modern data platforms
experience with Microsoft Fabric is a plus
Proven experience applying machine learning techniques (e.g., regression, classification, clustering, ensemble methods, NLP, etc.)
Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders

Job Responsibility

Leverage expertise in handling large, complex datasets to perform exploratory data analysis, feature engineering, and statistically sound sample design
Build, validate, deploy, and enhance complex predictive and machine learning models using data from multiple structured and unstructured sources to materially improve business outcomes
Design, build, deploy, and monitor machine learning models in production environments, ensuring scalability, reliability, and performance
Implement model lifecycle management best practices including versioning, experiment tracking, monitoring, retraining strategies, and performance optimization (e.g., MLflow or similar frameworks)
Automate feedback loops for algorithms and models in production while creating scalable, repeatable data science processes and production-grade data products
Design and execute experiments (A/B testing, causal inference frameworks) to evaluate model performance and business impact
Act as a technical subject matter expert, recommending and developing innovative analytical approaches aligned with strategic priorities
Translate complex analytical findings into clear business insights and present results to executive and non-technical audiences
Mentor junior data scientists and contribute to establishing enterprise best practices in modeling, governance, and documentation
Collaborate with data engineering teams to ensure robust pipelines, high data quality, and scalable model deployment

What we offer

medical
dental
vision
401k
PTO/paid sick leave
employee stock purchase plan

Fulltime

Sr Data Scientists

Sr Data Scientists is located in Frisco, TX and will support teams’ mission to p...

Location

United States , Frisco

Salary:

141773.00 - 155000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or related, and 5 years of relevant work experience
Master’s degree in Mathematics, Statistics, Economics, Computer Science, Physics, Electronic Engineering, or related, and 3 years of relevant work experience
Experience in developing and deploying predictive models, advanced machine learning, deep learning, NLP, and generative AI solutions by applying a wide range of algorithms
Experience in developing solutions using Python, PySpark, SQL, and R, with libraries LangChain, LangGraph, Keras, Pandas, NumPy, SciPy, Matplotlib, and Scikit-Learn
Experience in working with data querying, wrangling, cleaning, and feature engineering across relational and non-relational databases: SQL, Snowflake, and Redshift in big data environments: Azure, AWS, and GCP, and leveraging Spark, Hadoop, Hive, and Kafka
Experience in building CI/CD pipelines, automating training and retraining workflows, deploying inference services, and monitoring ML algorithms in production environments in Databricks using tools: MLflow, and cloud-native services
Experience in articulating and reframing business problems, applying statistical and advanced analytics techniques in Python, R, and SQL, and leveraging SciPy, Scikit-Learn, and PySpark to generate actionable insights and recommendations
Experience in delivering impactful, data-driven presentations and effectively communicating machine learning and analytical concepts to technical teams, business stakeholders, and senior leadership, supported by visualizations created in Tableau, Power BI, Matplotlib, and Seaborn
At least 18 years of age
Legally authorized to work in the United States

Job Responsibility

Support business partners and product owners to understand business challenges, develop business cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes
Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members
Design advanced analytics to solve business problems
preprocess and perform exploratory data analysis on structured and unstructured data
create features based on expertise in the domain
use predictive modeling techniques and statistical analysis to predict outcomes and behaviors
Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams
Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts
Partner with other technology partners such as architects, engineers, product managers, scrum masters, release train engineers, and agile coaches to deliver on targeted business outcomes

What we offer

Competitive base salary and compensation package
Annual stock grant
Employee stock purchase plan
401(k)
Access to free, year-round money coaches
Annual bonus or periodic sales incentive or bonus
Medical, dental and vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays

Fulltime

Sr Data Scientist

Provides specialized depth and breadth of expertise in the design, implementatio...

Location

United States of America , Rochester

Salary:

86482.00 - 129723.00 USD / Year

University of Rochester

Expiration Date

Until further notice

Requirements

Bachelor's degree and 4 years of relevant experience required
Master's degree preferred
Or equivalent combination of education and experience
Considerable experience with relational databases required
Strong attention to detail, ability to develop creative solutions to complex problems, and strong critical thinking skills required
Strong analytic, qualitative and quantitative data analysis skills, with demonstrated ability to break down complex problems into phased deliverables required
Excellent verbal and written communication and presentation skills, including the ability to describe data science concepts to lay/nonexpert audiences required
Proficiency with Python (or R), including common machine/deep learning libraries and their implementation required
Fluency with data visualization tools, such as Tableau, Spotfire or PowerBI required
Ability to work independently and successfully complete assigned tasks on time without direct oversight required

Job Responsibility

Translates complex data into insights and compelling stories
Presents data models, analyses and visuals, including dynamic visuals such as dashboards, to internal and external stakeholders
Iterates and refines based on feedback
Makes recommendations and provides actionable insight to stakeholders based on analysis
Partners with operational and clinical leaders to implement recommendations and provides consultation as needed
Provides expert consultation to high-level external stakeholders, including senior and executive leadership
Guides strategy and influences project priorities, direction and scoping
Understands underlying clinical and research requirements and formulates, designs and executes analytical solutions to support them
Reviews and approves team’s analysis and analytic products
Analyzes and models structured data and implements algorithms to support analysis using advanced statistical and mathematical methods

Fulltime

New

Sr. Data Engineer

Join Amgen’s Mission of Serving Patients. At Amgen, if you feel like you’re part...

Location

United States , Thousand Oaks

Salary:

138325.00 - 172744.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Clinical Informatics or related field and 2 years of experience in the job offered or in a Data Engineer – related occupation. The position requires 2 years of experience in the following: Manage and tune Hadoop, MapReduce, or Spark SQL
Build ETL pipelines to transfer data
Optimize database for usage
Manage data stewardship and governance
Configure cloud services to orchestrate, monitor, and run end-to-end data warehousing solutions
and Model data for translation, linking, and consumption from source to data warehouse.

Job Responsibility

Responsible for managing and optimizing the company's data infrastructure and architecture for Clinical Data Hub, including cloud-based distributed compute and storage
Design and implement data pipelines, develop data models, perform data integration, and ensure data quality and governance
Contributes to the effective storage, processing, and utilization of large-scale data sets
Work with Product Owner, Product Management, Agile Team, and Data Architects to plan and deliver prioritized Clinical Data Hub backlog items and optimize the technical environment
Ensure data requirements for applications, data scientists, and cross-functional use cases are met, and ensure high performance and reliability of the system
Provide insights and actionable solutions for business clients.

What we offer

stock
retirement
medical
life and disability insurance
eligibility for an annual bonus
health and welfare plans
financial plans
work/life balance
career development opportunities
Retirement and Savings Plan

Fulltime

Select Country

Sr. Data Scientist, Product Insights

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Sr. Data Scientist, Product Insights

Sr. Product Manager - AI

Senior Data Engineer

Data Scientist

Sr. Data Scientist

Sr Data Scientist

Sr Data Scientists

Sr Data Scientist

Sr. Data Engineer

Our AI answers in your language