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About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

Understanding and improving how we optimize ads through the ads delivery funnel to Pinners is fundamental to Pinterest's long-term success. We're looking for a data scientist to join our team in pushing the boundaries in ads optimization. You will be a key member of an organization of talented data scientists innovating on ads delivery.

What you'll do:

• 
  
• Strategy: Evolve our strategy by working closely with product and engineering leaders to build on past learnings and shape our platform's future.
  
• Experimentation: Improve our experimentation capabilities and tools for assessing our ad delivery system, advise on best practices, identify flaws, and build tools and frameworks for experiment analysis.
  
• Leadership: Lead and mentor peers, improving team output through continuous, candid feedback that recognizes strengths and identifies areas for growth. Be a technical leader for junior data scientists.
  
• Communication: Clearly and concisely communicate complex analytical findings and insights to stakeholders with varying technical backgrounds.
  
• Continuous Learning: Stay informed on the latest developments in data science, causal inference, and advertising technology to drive innovation.
  

What we're looking for:

• 
  
• 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data
  
• Direct involvement in the evaluation, refinement, and deployment of ads optimization models for ads delivery systems.
  
• Proficiency in leveraging large datasets for performance analysis and gap identification.
  
• Proven ability to apply scientific methods to solve real-world problems on web-scale data
  
• Expertise in SQL and Python
  
• Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions
  
• Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
  
• Experience leading key technical projects and substantially influencing the scope and output of others
  
• Experience in digital ad delivery stacks preferred
  

In-Office Requirement Statement:

We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.

This role will need to be in the office for in-person collaboration 1 times per week and therefore needs to be in a commutable distance from one of the following offices: San Francisco, CA or Seattle, WA.

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-NM4

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

Title : Data QA Engineer

Location: Minneapolis , Dallas , Atlanta (Onsite)

Job Type : Contract

Exp : 8-15 Years

Key Responsibilities:

• Design, build, and maintain automated data quality frameworks to validate accuracy, completeness, consistency, and timeliness of data.
• Develop automation scripts using Python/SQL to test data pipelines, ETL/ELT processes, and analytics workflows.
• Implement data quality checks and monitoring within Azure-based data platforms.
• Work extensively with Azure services (ADF, ADLS, Synapse) and Databricks for large-scale data processing.
• Integrate data quality validations into CI/CD pipelines and support proactive issue detection.
• Perform root cause analysis for data issues and collaborate with data engineering, analytics, and business teams to resolve them.
• Define and enforce data quality standards, metrics, and SLAs.

Required Skills & Qualifications:

• Strong experience (8–15 years) in data engineering, data quality, or data automation roles.
• Hands-on expertise with Azure data ecosystem and Databricks.
• Strong programming skills in Python and SQL.
• Experience building automated data validation and reconciliation frameworks.
• Solid understanding of data warehousing, data lakes, and distributed data processing.
• Familiarity with DevOps/CI-CD practices for data platforms.

Preferred Skills:

• Experience with data observability or data quality tools.
• Exposure to cloud-scale analytics and performance optimization.
• Strong communication and stakeholder management skills.

Job Summary:

Our client is seeking a Senior Data Analytics Engineer (Customer Data) to join their team! This position is located in Irving, Texas.

Duties:

• Support cross-functional teams including Marketing, Data Science, Product, and Digital
• Build datasets that power: customer segmentation, personalization workflows, campaign and lifecycle analytics, BI dashboards and KPIs and real-time and ML-driven customer experiences
• Build, optimize, and maintain customer data pipelines using PySpark/Databricks
• Transform raw customer data into analytics‑ready datasets for reporting, segmentation, personalization, and AI/ML applications
• Develop customer behavior metrics, campaign insights, and lifecycle reporting layers
• Design datasets used by Power BI/Tableau; dashboard creation is a plus, not required
• Optimize Databricks performance such as: skewed joins, partitioning, sorting, caching/persist strategy
• Work across AWS/Azure/GCP and integrate pipelines with CDPs
• Participate in ingestion and digestion phases to shape MarTech and BI analytical layers
• Document and uphold data engineering standards, governance, and best practices across teams

Desired Skills/Experience:

• 6+ years in Data Engineering or Analytics Engineering
• Strong hands-on experience with: Databricks, PySpark, Python and SQL
• Proven experience with customer/marketing data: segmentation, personalization, campaign analytics, retention, behavioral metrics
• Ability to design performance‑optimized pipelines; batch or near real-time
• Experience building datasets consumed by Power BI/Tableau
• Understanding of CDP workflows, customer identity data, traits/feature modeling, and activation
• Strong communication skills, translating marketing needs into technical data solutions
• Power BI expertise, major plus
• Experience with Delta Lake, orchestration, or feature engineering for ML
• Background as an Analytics Engineer, BI/Data Modeling Engineer, or Data Engineer with strong analytics orientation

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position starting at $140,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at

Our client, a luxury fashion brand, is seeking a CRM Data Analyst Temp to join their NYC team on a temporary basis.

Responsibilities:

• Transform complex client analyses into clear, concise, and visually engaging PowerPoint presentations, influencing stakeholders through compelling data-driven narratives.
• Use product knowledge of our systems, tools, and the client database to identify and implement innovative approaches to client analysis
• Create insightful reports that enable data-driven decisions for home office partners, and proactively explore and implement automation opportunities to enhance efficiency
• Collaborate with key home office partners (e.g. VIC, Fashion Expertise, Events, Retail Operations, Merchandising teams) to support respective team goals and inform strategies with client data
• Dynamically support boutiques with complex client reporting needs and initiatives
• Spend time with boutique teams to understand their individual needs and collaborate on ways to support Fashion Advisors with client data and client tools
• Liaise with divisional counterparts to unlock synergies and align on key initiatives and priorities
• Demonstrate expert-level knowledge of current client data tools (Salesforce, Looker) to pull with speed, and proactively identify and communicate process improvements to enhance efficiency and effectiveness of reporting and segmentation tools as needed
• Project manage the implementation of database and/or tool enhancements from concept to QA and final delivery in order to meet the evolving needs of business partners and team, collaborating closely with Tech to translate business requirements into actionable technical specifications

Qualifications:

• 7+ years experience in data analytics or strategy/business intelligence role
• Experience with Salesforce
• Experience with Looker Studio
• Prior professional experience collaborating with cross-functional partners to design and launch a new technical platform
• Familiarity with IT functions, including system architect and landscape
• Expertise in Excel and PowerPoint
• Ability to communicate ideas effectively to a range of audiences (written & verbal)
• Luxury retail and/or brand experience preferred

Please submit your resume for consideration.

You can use to collect and manage your references for free and share them with us or anyone else you choose. Candidates with references are always preferred by our clients. Now is the most important time to stand out from the crowd. We suggest that you ensure you have updated your LinkedIn profile and that you start collecting your references early.

Role : Technical Product Manager ( Data Analytics )

Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)

Exp Req : 10+

Rate : $55/Hr on W2 Max

Skills Mandatory :

1, Marketing Data Analysis knowledge.

2, KPI and metrics definition on Marketing Data. Mainly for media product.

3, Instrumentation knowledge and through process.

Original JD:

• Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
• Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
• Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
• You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
• Excellent communication, social, and presentation skills with meticulous attention to detail.
• Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
• Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.

Job Description :

• Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
• Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
• Closely partner with our Data Science team to define metrics, datasets, and automation strategy
• Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
• Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
• Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management

Key Qualifications :

• Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
• Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
• Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
• Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
• Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.

Nice to have :

• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)

Description :

• Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.

Stephen

Lead Talent Acquisition Specialist

Email :

About US

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making.

C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms.

Global offices

United States | Canada | United Kingdom | United Arab of Emirates| India

Job Description:

Overview: This role involves building data products to extract valuable business insights and requires a highly analytical individual with strong problem-solving skills and a passion for machine learning and research.

Responsibilities

• Undertake data collection, preprocessing, and analysis
• Build models to address business problems
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Develop machine learning algorithms
• Conduct data-driven experiments to drive business decisions

Required Skills

• Data mining
• Machine learning and operations research
• Proficiency in R, SQL, and Python (knowledge of Scala, Java, or C++ is a plus)
• Experience with business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
• Strong math skills (e.g., statistics, algebra)
• Analytical mind and business acumen
• Excellent communication and presentation skills
• Preferred Algorithms and Use Cases:
• Text Analytics: Natural Language Processing (NLP) algorithms for sentiment analysis, text classification, named entity recognition.
• Voice Analytics: Speech recognition, voice-to-text conversion, emotion detection in voice.
• Image Analytics: Image classification, object detection, facial recognition.

Qualifications

• Proven 5+ years of experience as a Data Scientist or Data Analyst
• Bachelor's or master's degree in computer science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred

C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

About Cygnus Professionals, Inc.

Cygnus is a Princeton, NJ-headquartered global Business IT consulting and software Services firm with offices in the USA and Asia. Cygnus offers and enables innovation and helps our clients accelerate time to market & grow their business. Over 15 years, we have taken great pride in continuing our deep relationships with our clients.

For further information about CYGNUS, please visit our website Title: Data Architect

Location: Princeton, New Jersey – Onsite

W2 Contract

Job Summary

We are seeking an experienced Data Architect to design, build, and maintain scalable data architecture solutions supporting enterprise analytics, data integration, and digital transformation initiatives. The ideal candidate will work closely with business stakeholders, data engineers, and application teams to design robust data models, data pipelines, and enterprise data platforms that support advanced analytics and reporting.

Key Responsibilities

• Design and implement enterprise data architecture frameworks and best practices.
• Develop logical and physical data models for enterprise data platforms.
• Architect data lakes, data warehouses, and data integration solutions across cloud and on-prem environments.
• Collaborate with data engineers and application teams to build scalable data pipelines and ETL/ELT processes.
• Ensure data governance, data quality, security, and compliance standards are implemented across the data ecosystem.
• Evaluate and recommend data technologies, tools, and frameworks aligned with enterprise strategy.
• Provide architectural guidance for cloud-based data platforms (AWS/Azure/GCP).
• Optimize performance for large-scale data processing and analytics workloads.
• Support business intelligence, reporting, and advanced analytics initiatives.

Required Qualifications

• 10+ years of experience in data architecture, data engineering, or enterprise data management.
• Strong experience with data modeling (conceptual, logical, physical).
• Expertise with data warehouse and data lake architectures.
• Hands-on experience with ETL/ELT tools and data integration platforms.
• Experience with SQL and large-scale data platforms (Snowflake, Redshift, BigQuery, etc.).
• Experience working with cloud data platforms (AWS, Azure, or GCP).
• Strong understanding of data governance, data quality, and metadata management.
• Experience with big data technologies (Spark, Hadoop, Kafka) is a plus.

Preferred Skills

• Experience in Healthcare, Pharmaceutical, or Life Sciences domain.
• Knowledge of Master Data Management (MDM) and data catalog tools.
• Familiarity with BI tools such as Tableau, Power BI, or Looker.
• Strong communication skills to interact with business and technical teams.

Education

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.

Cygnus Belief

We believe in our commitment to diversity & inclusion.

Equal Employment Opportunity Statement

Cygnus is an Equal Opportunity Employer. We ensure that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

All our employment decisions are taken without looking into age, race, creed, color, religion, sex, nationality, disability status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other aspects of employment protected by federal, state, or local law. Applicants for employment in the US must have work authorization.

• Growth opportunities to uplevel your career
• A people-centric culture embracing and celebrating diverse perspectives, backgrounds, and experiences within our team
• Competitive compensation and comprehensive benefits focused on well-being
• An opportunity to shape the future of health care by joining a team recognized as a Best Place to Work For in the NY Capital District, one of the Best Companies to Work For in New York, and an Inclusive Workplace.

• Analyze, tag, identify data assets and systems through data discovery and analysis of high-level business processes. The Data Analyst will have deep data management skills and will be comfortable querying a variety of platforms using new languages and methods.
• Sort through uncertain raw data to extract useful elements and collections.
• Work with data architects, data engineers, data modelers and reporting users.

• Work as part of the data services team on large programs, governing and shaping the delivery of data products and services.
• Elicit and document our internal customers' business requirements, identifying the sources and transformations that are correctly modeled to apply to MVP's data assets to achieve the expected results and serve our users. Maintain user stories, acceptance criteria, metrics definitions, source to target mappings, and semantic layer specifications.
• Comfortably work with and define internal lakehouse data pipelines and workflows across our medallion architecture, as well as working externally with vendors to achieve third party data integrations that both ingress and egress from MVP's data ecosystems.
• Ensure the end-to-end solution is fit for purpose, meets the needs of business, the agreed requirements, and are both pragmatic and supportive of the strategic architecture direction.

• Partner with governance teams and business stewards who maintain business definitions, policies, and stewardship workflows. You are a tactical team member who brings subject expertise to your accountable data domains.
• Maintain domain technical glossaries for the bronze and silver tiers, including field definitions, lineage, and transformation logic.
• Collaborate with development teams working with other areas to ensure that all data solutions are complete, operable, conform to appropriate domain business processes, and meet the business needs with the agreed quality of service.
• Ensure that metrics and monitoring of our core data domains are in place and maintained as part of our data requirements efforts.

• Bachelor's degree in a quantitative technical, or business field (e.g. computer science, data science, engineering, finance, statistics) or equivalent practical experience.

• 1-3 years' experience working in data analysis, data management, business intelligence, ore a related quantitative role.

• Demonstratable knowledge of data management, data integration, and database development techniques.
• Experience or familiarity with Databricks, SQL Server, and Azure cloud computing.
• Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop, Spark).
• Experience with ETL concepts and other tools like SQL, Python, Informatica Power Center or IDMC, SSIS/SSRS, etc ...
• Experience with business intelligence and reporting technologies like PowerBI, Tableau, Qlik, or Databricks AI/BI.

• Experience collaborating on reference architecture, principles, and standards.
• Experience with delivery of data solutions and SDLC processes.
• Experience or knowledge of the data requirements for health insurance industry.
• Proven experience in Data Management planning, organization, and development.
• Familiarity with Data Warehouse or Lakehouse concepts.

• Familiarity with data governance tools and processes like Informatica CDGC, Unity Catalog, or other industry governance tools.
• Time spent with entity relationship modeling, metadata systems, data quality tools and techniques.