Data Scientist, Lifecycle Marketing Job at Wealthfront (Palo Alto)

Data Scientist

We are looking for a Data Scientist who can leverage statistical tools, deep lea...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

Degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative discipline preferred
M.S. + 2 years of experience, or B.S. + 4 years of relevant experience
Strong programming skills in R, Python, and SQL
Professional experience within the digital advertising or MarTech field
Demonstrated success delivering data-driven products, including involvement across the full product development lifecycle
Deep understanding of statistical modeling and machine learning techniques
Experience with A/B testing (preferably geo-holdouts) and Media Mix Models (MMMs)
Strong working knowledge of large datasets, preferably within the digital marketing domain
Experience with cloud OLAP database platforms such as BigQuery and Snowflake
Strong communication skills with both technical and non-technical audiences

Job Responsibility

Working closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods
Designing, prototyping, and testing new products and data solutions
Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources
Conducting incrementality tests and building Media Mix Models (MMMs)
Integrating scalable workflows into production environments by collaborating with software engineers
Maintaining data science and machine learning workflows by fixing bugs or improving model performance as needed
Articulating complex technical results and methodologies to internal stakeholders
Joining client meetings as needed to understand client data problems and propose innovative solutions
Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions

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

Data Scientist

Circle K is seeking a Data Scientist responsible for delivering advanced analyti...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar
Experience: 3-4 years for Data Scientist
Relevant working experience in a quantitative/ applied analytics role
Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
Excellent communication skills in English, both verbal and written
Delivery Excellence
Business disposition
Social intelligence
Innovation and agility
Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)

Job Responsibility

Evaluate performance of categories and activities, using proven and advanced analytical methods
Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis
Oversee the design and measurement of experiments and pilots
Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact
Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
Improve data quality by using and improving tools to automatically detect issues
Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application
Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

Fulltime

Senior Software Engineer

We are seeking a highly skilled senior software engineer to join our team. This ...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

Deep expertise in Java: Proven proficiency in designing, developing, and optimizing high-performance, multithreaded Java applications
Comprehensive SDLC Experience: Extensive experience with the entire software development lifecycle, including requirements gathering, architectural design, coding, testing (unit, integration, performance), deployment, and maintenance
Data Engineering & Financial Data Processing: Proven experience in data engineering, including building, maintaining, and optimizing complex data pipelines for real-time and historical financial stock market data
Financial Market Acumen: A strong background in the financial industry, with a working knowledge of financial instruments, market data (e.g., tick data, OHLC), and common financial models
Problem-Solving & Adaptability: Excellent problem-solving skills and the ability to work with complex and evolving requirements
Collaboration & Communication: Superior communication skills, capable of collaborating effectively with quantitative analysts, data scientists, and business stakeholders
Testing & CI/CD: A strong ability to work on development and all forms of testing, with working knowledge of CI/CD pipelines and deployments
Database Proficiency: Experience with various database technologies (SQL and NoSQL) and the ability to design database schemas for efficient storage and retrieval of financial data

Job Responsibility

Design and Development: Architect, build, and maintain robust, scalable, and low-latency Java applications for processing real-time and historical financial stock market data
Data Pipeline Engineering: Engineer and manage sophisticated data pipelines using modern data technologies to ensure timely and accurate data availability for analytics and trading systems
Performance Optimization: Profile and optimize applications for maximum speed, scalability, and efficiency
System Integration: Integrate data from various financial market sources and ensure seamless data flow into downstream systems
Mentorship and Best Practices: Provide guidance and mentorship to other engineers, contribute to code reviews, and advocate for best practices
Operational Excellence: Participate in the full software development lifecycle, from initial design to production support, ensuring system reliability and performance

New

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders –...

Location

United States

Salary:

Not provided

VAST Data

Expiration Date

Until further notice

Requirements

8+ years of proven experience in product or solution marketing within cloud services, AI/ML platforms, large-scale data infrastructure, data storage, operating systems, or related fields, with a strong understanding of 'as-a-Service' GTM models and/or the needs of large-scale AI research and development
Deep understanding of infrastructure for cloud service providers and/or large-scale AI training/inference clusters, including multi-tenant architectures, service orchestration, distributed computing, virtualization, containers, and unified file/object storage solutions at petabyte to exabyte scale
Familiarity with modern AI/ML data pipelines, the lifecycle of Foundation Models (data ingestion, pre-processing, training, fine-tuning, inference), and analytics workloads, and how they are delivered as cloud services or built in dedicated environments
Strong expertise in aligning complex technical solutions like the VAST AI OS with business-driven objectives for both AI Cloud Providers (e.g., service differentiation, new revenue streams, TCO reduction) and Foundation Model Builders (e.g., faster time-to-model, research breakthroughs, efficient scaling, optimized resource utilization)
Exceptional communication skills, with proven ability to articulate technical concepts clearly to both technical and business audiences
Demonstrated success developing and executing impactful marketing strategies and campaigns
Highly collaborative with a proactive approach to managing cross-functional projects
Willingness to travel for customer engagements, industry events, and internal meetings

Job Responsibility

Develop and execute strategic go-to-market plans tailored to AI Cloud Providers and Foundation Model Builders for the VAST AI OS
Craft compelling, differentiated messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers (product management, service architects, business development) and at organizations building Foundation Models (AI researchers, MLOps engineers, data scientists, infrastructure leads)
Conduct market analysis, identifying trends, threats, and opportunities in the AI cloud services, large-scale AI model development, and underlying data infrastructure landscape, relevant to the VAST AI OS
Translate complex technical features of the VAST AI OS into clear benefits for AI Cloud Providers (service differentiation, revenue opportunities, TCO) and for Foundation Model Builders (accelerated training, reduced data management overhead, faster iteration cycles, scalable deployment)
Serve as an expert resource on architectures for AI cloud services and large-scale model development, including multi-tenancy, service orchestration, distributed training, high-performance data pipelines, and how the VAST AI OS underpins these for AI-as-a-Service and Foundation Model lifecycles, emphasizing unified file and object storage, data protection, compliance, and security
Collaborate closely with Product Management and Engineering to influence the VAST AI OS roadmap and direction based on the unique requirements of AI Cloud Providers, Foundation Model Builders, and market insights for AI services and model development
Create high-impact sales tools, presentations, reference architectures, product demonstrations, webinars, and training materials for the VAST AI OS that effectively communicate technical and business advantages to and through AI Cloud Providers, and directly to organizations building Foundation Models
Support partner development, sales teams, and direct engagement efforts with strategic responses to AI Cloud Provider opportunities, Foundation Model initiatives leveraging the VAST AI OS, and joint RFI/RFPs
Engage regularly with AI Cloud Providers and key players in the Foundation Model ecosystem to capture insights, validate VAST AI OS positioning, and foster advocacy and joint marketing opportunities
Produce influential content for the VAST AI OS including whitepapers, case studies, solution briefs, blogs, and FAQs tailored to AI Cloud Provider and Foundation Model Builder audiences and their respective customers or users

Fulltime

Senior AI Product Manager

We are investing massively in developing next-generation, agentic and generative...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

Proven relevant Product Management experience
Experience developing AI products
Conceptual understanding of AI
BA/BS Computer Science/ related technical degree, or 3+ years equivalent technical experience
Success defining and launching software products
An understanding of the software development lifecycle
Experience working with data scientists
Knowledge of product methodologies such as user story mapping, user personas
Demonstrable ability to determine value
Strong problem solving and analytical capabilities

Job Responsibility

Design the start-to-end experience of an early stage, B2B AI product
Manage the entire product life cycle
Own roadmap plans and prioritise features to support ongoing delivery in line with client expectations
Work closely with development and data science teams to ensure on time delivery of product releases and oversee the product backlog
Conduct requirements gathering, reviews, and design review meetings with stakeholders, domain experts and technical architects
Analyse market trends and closely monitor product competitors
Perform business and technology analyses, based on product and user needs
Act as the subject matter expert of the product area and market internally (engineering, sales, pre-sales, and marketing) as well as externally (business partners, agencies, customers)
Research, gather, and define product's business requirements from discussions with users, clients, partners, sales and other sources for current and future product releases
Cooperate with other teams on product integrations and understand how products can be made so they are are reusable for other clients, not as an off-the-shelf product but a customisable product

What we offer

Development - annual development budget to upskill yourself
Annual bonus - when Satalia does well, we all do well
Remote working - café, bedroom, beach - wherever works
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture - wellbeing is a priority, as is being a nice person
Truly flexible working hours - school pick up, volunteering, gym - no problem
Generous leave - 27 days’ holiday plus bank holidays and enhanced family leave
Transparent and open culture - you will be listened to and heard

Fulltime

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...

Location

United States , Boston

Salary:

121300.00 - 177900.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
Comfortable going deep into data, metrics, and model behavior—not just the UX layer
Excellent communicator who can make complex AI topics clear to diverse audiences
Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.

Job Responsibility

Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
Design workflows that incorporate human review and escalation where needed

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.

Fulltime

Senior Data Scientist

Realize your potential by joining the leading performance-driven advertising com...

Location

Israel , Tel Aviv

Salary:

Not provided

Taboola

Expiration Date

Until further notice

Requirements

M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
Strong knowledge in Python
Good knowledge in Java, Scala or C++
Familiarity with statistical modeling techniques
5+ years of hands on experience with coding machine learning/statistical modeling based solutions
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills

Job Responsibility

Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the company’s revenue
Work on a daily basis with some of the hottest trends in today’s job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more

What we offer

comprehensive benefits (health, etc.)
a fully stocked kitchen
location-specific perks (gym partnerships, parking)
hybrid work schedule with 3 days in-office with an option to come in more often if desired

AI Architect

The AI Architect is responsible for designing, developing, and integrating innov...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Master's degree or engineering diploma in Computer Science, Applied Mathematics, Artificial Intelligence, or related field
Minimum 7 years of experience in designing and deploying AI solutions in enterprise environments
Mastery of AI architectures (supervised, unsupervised models, neural networks, NLP, Computer Vision, etc.)
Expertise in leading AI tools and frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, MLflow, etc.
Expertise in major LLM vendors: OpenAI, Google Gemini, Anthropic, Meta, Mistral AI, AWS Bedrock, DeepSeek, Cohere
Expertise in developing Collaborative/Swarm of AI Agents/Agentic AI system
Experience with cloud AI platforms: Azure ML, AWS SageMaker, Google AI Platform
Strong knowledge of MLOps practices, CI/CD, and model lifecycle management
Proficiency in Python, R, SQL, and collaborative development environments (Git, Docker, Kubernetes)
Deep understanding of security, compliance (NIS2, GDPR), and AI ethics

Job Responsibility

Design and document technical architectures for AI solutions (Machine Learning, Deep Learning, NLP, Computer Vision, LLM, AI Agents, etc.) considering security, scalability, costs and performance constraints
Define and drive the AI technology roadmap in collaboration with business, IT, and innovation teams
Select appropriate technologies, frameworks, and tools (TensorFlow, PyTorch, Azure ML, AWS SageMaker, Hugging Face, LangChain/Graph, N8n)
Ensure the coherence, robustness, and maintainability of deployed solutions
Participate in solutions development
Mentor and support teams of Data Scientists, Data Engineers, and AI developers
Conduct technology watch and evaluate new AI market trends
Lead the integration of AI solutions in cloud, hybrid, or on-premise environments
Implement best practices for data governance, MLOps, and model management
Ensure compliance with security standards, regulations (GDPR, NIS2), and AI ethics

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical subscription
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings

Fulltime

Data Scientist, Lifecycle Marketing

Wealthfront

Location:
United States , Palo Alto

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 07, 2026

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