Data Engineer + Scientist Hybrid Job at Spoak Decor

Data Scientist Senior - GenAI Solutions

The ideal candidate as Senior Data Scientist in NTT DATA will have a mix of skil...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Experience of at least 3-5 years as data scientist
Strong Python (mandatory) and SQL coding
Knowledge of Java/Scala or C++/R is a plus
Tensorflow and Pytorch knowledge with a focus over Computer Vision solutions
Knowledge of ML solutions architecture and Generative AI pipelines
Cloud and hybrid ML implementations
Incorporate new, cutting edge business intelligence, machine learning, and alternative data practices into wider organization to drive efficiencies and generate revenue
Own the full stack execution of data science projects from data wrangling, model development, presentation, measurement to deployment
Work with data engineers to produce fully productionized pipelines including data ingestion, cleaning, feature engineering and model training/prediction
Conduct research and analysis into reinsurance and advisory products to augment industry-standard models and develop new market offerings

Job Responsibility

Collaborate with data scientists, data engineers, ML Engineers, product managers, business analysts, and stakeholders from internal teams and external clients
Manage multiple projects simultaneously
Lead and coordinate the Data Scientists involved in the projects
Act as the main point of contact with client-side stakeholders
Ensure that project tasks are delivered on time and executed to a high standard

Machine Learning Data Scientist, Forecasting

The Strategic Finance team at OpenAI plays a critical role in shaping the compan...

Location

United States , San Francisco

Salary:

230000.00 - 385000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

Advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research)
7+ years of experience in applied data science, with deep hands-on exposure to forecasting, predictive modeling, or marketplace systems
Expertise in time-series forecasting techniques and practical understanding of model trade-offs across performance, explainability, and scalability
Proficiency in Python, SQL, and tools such as scikit-learn, PyTorch/TensorFlow, and forecasting libraries
Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments
Strong communication and storytelling skills - able to simplify complexity and influence executive stakeholders
Self-directed, intellectually curious, and comfortable leading ambiguous projects from 0→1

Job Responsibility

Build statistical and machine learning models to solve forecasting needs across product, finance, infrastructure, and GTM domains
Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability
Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, customer lifetime value, and profitability
Contribute to self-service forecasting tools and internal platforms, enabling teams across OpenAI to access and act on real-time predictions
Research and evaluate emerging tools and techniques in the forecasting space, such as TimeGPT, large language model extensions, causal forecasting, and hybrid approaches
Drive strategic insight generation by translating technical outputs into business-aligned recommendations and decision frameworks
Collaborate closely with cross-functional teams to ensure forecasts are well-integrated into planning processes, experimentation workflows, and executive decision-making

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Senior Data Scientist

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

North Macedonia

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Several years of experience as a Senior Data Scientist / ML Engineer / Software Engineer (or equivalent) with demonstrable productive ML systems
In-depth knowledge of ML (Supervised/Unsupervised, Sequences/Time Series, Anomaly Detection, Classification/Regression) and solid understanding of statistics/evaluation
First-principles thinking: You can not only "apply" models, but also derive them, question them, and combine them with domain knowledge (hybrid approaches)
Scientific curiosity paired with pragmatism: forming hypotheses, testing experimentally, delivering results

Job Responsibility

Development and validation of models/algorithms for use cases such as: Gait analysis and movement pattern recognition (gait pattern, stability, deviations, trend analyses)
New features such as delirium, complex risk indicators, clinical "events"
Experiment Design & Measurability: Definition of metrics, offline evaluation, golden sets, reproducibility, performance/robustness
Feature Engineering & Representation Learning: Derive meaningful representations from radar data (incl. domain understanding)
Evaluation of new approaches for radar-based patient monitoring (classic ML, deep learning, probabilistic models, first principles, and hybrid methods)

What we offer

Private health insurance
Education program with training and certification
Wellbeing program
Free beverages
Events
Competitive salary and 24 days of vacation
Challenging projects
Cool colleagues
Honest feedback

Research Scientist / Engineer — Video / Audio Generation

This is a rare and foundational opportunity to define the future of creative AI....

Location

United States , Palo Alto

Salary:

250000.00 - 450000.00 USD / Year

Luma AI

Expiration Date

Until further notice

Requirements

Strong foundation in machine learning and generative modeling, with experience in video, audio, or multimodal domains
Deep understanding of autoregressive, diffusion/flow-based, or hybrid generative models, and their tradeoffs for long-horizon generation
Hands-on experience with PyTorch and large-scale training (distributed, mixed precision, large datasets)

Job Responsibility

Architect large-scale video and audio generative models, focusing on strong temporal coherence and high perceptual quality
Design, implement, and run robust data pipelines for curating, filtering, and captioning massive video and audio datasets
Train large-scale video and audio generative models on massive datasets and GPU clusters
Define and build novel evaluation frameworks to measure realism, temporal consistency, controllability, and human-aligned creative quality

Fulltime

Cloud Data Engineer

Join BIP – xTech, BIP's Centre of Excellence specializing in innovative consulti...

Location

Albania , Tirana

Salary:

Not provided

Business Integration Partners

Expiration Date

Until further notice

Requirements

Experience in the implementation and management of cloud‑based data platforms
Knowledge of one or more cloud platforms (e.g., Google GCP, Amazon AWS, Microsoft Azure) and their services supporting data management, processing, and analysis
Knowledge of key concepts of modern data platforms (e.g., Big Data, Data Lake, Data Warehouse, Data Virtualization, Data Mesh, Data Governance, etc.)
Experience in designing data models and creating/maintaining data pipelines for data extraction, transformation, and loading
Knowledge of one or more programming and data query languages (e.g., SQL, Java, Ruby, Python, R…)
In‑depth knowledge of one or more technologies for managing structured and unstructured databases (e.g., BigQuery, MongoDB, Hadoop, Redis, etc.)

Job Responsibility

Working on Big Data or hybrid Data Platforms, on‑premises or cloud, implementing batch or real‑time processing pipelines, and performing transformation and handling of structured and unstructured data
Autonomous in the phases of data acquisition, historization, cleansing, anonymization/crypting/masking, null-value and outlier handling, aggregation, structuring of unstructured data, creation of quality KPIs, and preparation of data for different users
Receiving Machine Learning models from Data Scientists, optimizing them for scalable execution—for example by applying computational parallelism—and integrating/scheduling them for efficient automated execution
Working with various technologies, chosen based on the specific project and client, favoring cloud‑native and globally scalable architectures
Provide Advisory support to select Engineering technologies within emerging Big Data architectures or to improve existing ecosystems
Build relationships with clients, vendors, and partners
Actively contribute to the Community through research activities, scouting, new solution concepts, and business development

Fulltime

Data Scientist AI

We are the central Advanced Analytics and Artificial Intelligence team in Airbus...

Location

Portugal , Lisbon; Coimbra

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

3+ years industry experience in data science, AI or a similar field with a track record of end-to-end model development and handling large data-sets
Strong, fundamental understanding of common ML algorithms
Bachelor’s, Master’s or PhD degree in Computer Science, Data Science, Statistics, Engineering, Mathematics or a related quantitative discipline
Deepened knowledge in at least one of the following fields: NLP, Computer Vision, Time Series Analysis
High Proficiency in Python including relevant open source libraries such as Pandas, Scikit-Learn, Tensorflow and PyTorch
Fluent in written and spoken English
Experience in customer facing roles focused on business impact and managing expectations
Experience in process analysis and process optimization including methodologies such as value stream mapping
Development and deployment of models in cloud environments like AWS, GCP or SAP
Agile and product-oriented development

Job Responsibility

Partner with business functions on missions to absorb domain expertise and priorities, build analytical insights and translate business challenges into AI related opportunities that you will tackle with our wider team
Carry out hands-on, end-to-end AI / ML model development from early ideation, exploration and feasibility studies on to design, development, deployment as well as monitoring of scaled AI services
Support our AI capability teams in defining and delivering on AI capability roadmaps (built around 5 technology pillars: computer vision, knowledge extraction, Time-series anomaly detection, decision making and hybrid modeling) that target reusable services and components which are consumed by a wide range of IT products
Representing the central AI organization, evangelize and establish best practices and guidance on delivering and running AI solutions in the rapidly growing Airbus Lisbon office
Engaging in the global AI and analytics community as well as growing the local community footprint, through holding project showcases, sharing expertise as well as best practices

What we offer

Diverse career opportunities within Airbus European core countries or in other regions around the world
A hybrid working model, allowing you to combine onsite and offsite work
A modern office at Parque das Nacoes, well connected to public transportation
A motivated and fun crew to grow and build and shape the GBS together
An intense and exciting onboarding experience

Fulltime

Data Engineer, Solutions Architecture

We are seeking a talented Data Engineer to design, build, and maintain our data ...

Location

United States , Scottsdale

Salary:

90000.00 - 120000.00 USD / Year

Clearway Energy

Expiration Date

Until further notice

Requirements

2-4 years of hands-on data engineering experience in production environments
Bachelor's degree in Computer Science, Engineering, or a related field
Proficiency in Dagster or Airflow for pipeline scheduling, dependency management, and workflow automation
Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
Strong Python and SQL skills for data processing and automation
1-2+ years of experience with continuous integration and continuous deployment practices and tools (Git, GitHub Actions, GitLab CI, or similar)
Advanced SQL skills, database design principles, and experience with multiple database platforms
Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
Experience with APIs, streaming platforms (Kafka, Kinesis), and various data connectors and formats

Job Responsibility

Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
Optimize query performance and resource utilization to control costs and improve processing speed
Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
Develop robust data pipelines that handle high-volume, time-sensitive energy market data and asset generation and performance metrics
Implement workflow automation and dependency management for critical business operations
Develop and maintain dbt models to transform raw data into business-ready analytical datasets and dimensional models
Create efficient SQL-based transformations for complex energy market calculations and asset performance metrics
Support advanced analytics initiatives through proper data preparation and feature engineering
Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets

What we offer

generous PTO
medical, dental & vision care
HSAs with company contributions
health FSAs
dependent daycare FSAs
commuter benefits
relocation
a 401(k) plan with employer match
a variety of life & accident insurances
fertility programs

Fulltime

Junior Data Scientist

Aramark Sports + Entertainment is hiring a Junior Data Scientist - Oracle Park, ...

Location

United States , San Francisco

Salary:

70000.00 - 95000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark
Bachelor’s degree in Mathematics, Statistics, Computer Science, Data Science, or a related field
equivalent practical experience may be considered
1–3 years of experience in an analytical or data science role
Proficiency in data manipulation and transformation using Python or R
Familiarity with SQL for data querying and analysis
Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling
Effective organizational and time management skills, with the ability to manage multiple projects simultaneously
Solid understanding of statistics, experimental design, and core data science concepts
Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences

Job Responsibility

Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences
Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations
Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations
Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives
Perform machine learning experiments and model evaluation tasks under the guidance of the team’s Lead Data Scientist

What we offer

medical, dental, vision, and work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

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Data Engineer + Scientist Hybrid

Job Description

Job Responsibility

Requirements

Nice to have

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