Ml Data Associate Amazon Salary Jobs in Usa

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.

Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Integration & AI Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

• Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
• Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
• Provide input for project plans and timelines to align with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Work with cross-functional teams and ensure effective communication and collaboration.
• Provide regular updates to the management team.
• Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Responsibilities

• Design, build, and maintain automated data pipelines and ETL processes to ensure scalability, efficiency, and reliability across data operations.
• Develop and implement robust data integration solutions to streamline data flow between diverse systems and databases.
• Continuously optimize data workflows and automation processes to enhance performance, scalability, and maintainability.
• Design and develop end-to-end data solutions utilizing modern technologies, including scripting languages, databases, APIs, and cloud platforms.
• Ensure data solutions and data sources meet quality, security, and compliance standards.
• Monitor and troubleshoot automation workflows, proactively identifying and resolving issues to minimize downtime.
• Provide technical training, documentation, and ongoing support to end users of data automation systems.
• Prepare and maintain comprehensive technical documentation, including solution designs, specifications, and operational procedures.

Qualifications

• A bachelor's degree or higher in computer science, information systems, or a related field.
• Hands-on experience with cloud data platforms (e.g., GCP, Azure, etc.)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Experience in GCP BigQuery, Dataflow, Pub/Sub, and Cloud storage.
• Experience with workflow orchestration tools such as Cloud Composer or Airflow
• Proficiency in iPaaS (Integration Platform as a Service) platforms, such as Boomi, SAP BTP, etc.
• Develop and manage data integrations for AI agents, connecting them to internal and external APIs, databases, and knowledge sources to expand their capabilities.
• Build and maintain scalable Retrieval-Augmented Generation (RAG) pipelines, including the curation and indexing of knowledge bases in vector databases (e.g., Pinecone, Vertex AI Vector Search).
• Leverage cloud-based AI/ML platforms (e.g., Vertex AI, Azure ML) to build, train, and deploy machine learning models on a scale.
• Establish and enforce data quality and governance standards for AI/ML datasets, ensuring the accuracy, completeness, and integrity of data used for model training and validation.
• Collaborate closely with data scientists and machine learning engineers to understand data requirements and deliver optimized data solutions that support the entire machine learning lifecycle.
• Hands-on experience with IBM DataStage and Alteryx is a plus.
• Strong understanding of database design principles, including normalization, indexing, partitioning, and query optimization.
• Ability to design and maintain efficient, scalable, and well-structured database schemas to support both analytical and transactional workloads,
• Familiarity with BI visualization tools such as MicroStrategy, Power BI, Looker, or similar.
• Familiarity with data modeling tools.
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Familiarity with DevOps practices for data (CI/CD pipelines)
• Strong knowledge and skills in data management, data quality, and data governance.
• Strong communication, collaboration, and problem-solving skills.
• Ability to work on multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.

Working Conditions & Physical Demands

This position requires in-person office presence at least 4x a week.

Compensation and Benefits

The salary range for this position is $75,868 - $150,644. Placement in the range depends on several factors, including experience, skills, education, geography, and budget considerations.

Wakefern is proud to offer a comprehensive benefits package designed to support the health, well-being, and professional development of our Associates. Benefits include medical, dental, and vision coverage, life and disability insurance, a 401(k) retirement plan with company match & annual company contribution, paid time off, holidays, and parental leave.

Associates also enjoy access to wellness and family support programs, fitness reimbursement, educational and training opportunities through our corporate university, and a collaborative, team-oriented work environment. Many of these benefits are fully or partially funded by the company, with some subject to eligibility requirements

The pay range for this role is $150,000 - $200,000/yr USD.

WHO WE ARE:

Headquartered in Southern California, Skechers—the Comfort Technology Company®—has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.

ABOUT THE ROLE:

Skechers Digital Team is seeking a Digital Data Architect reporting to the Director, Digital Architecture, Consumer Domain. This role is responsible for designing and governing Skechers’ Consumer Data 360 ecosystem, enabling identity resolution, high-quality data foundations, personalization, loyalty intelligence, and machine learning capabilities across digital and retail channels.

The ideal candidate will be a strong technical leader, have hands-on full-stack technical knowledge in enterprise technologies related to Skecher’s consumer domain, and have the ability to work in a fast-paced agile environment. You should have knowledge of consumer programs from an architecture/industry perspective, and you should have strong hands-on experience designing solutions on the Salesforce Core Platform (including configuration, integration, and data model best practices).

You will work cross-functionally with Digital Engineering, Data Engineering, Data Science, Loyalty, and Marketing teams to architect scalable, secure, and high-performance data platforms that support advanced personalization and recommender systems.

WHAT YOU’LL DO:

• Responsible for the full technical life cycle of consumer platform capabilities which includes:
• Capability roadmap and technical architecture in alignment to consumer experience
• Technical planning, design, and execution
• Operations, analytics/reporting, and adoption
• Define and evolve Skechers’ Consumer Data 360 architecture, including identity resolution (deterministic and probabilistic matching) and unified customer profiles.
• Architect scalable data models and pipelines across CDP, CRM, e-commerce, marketing automation, data lake, and warehouse platforms.
• Establish enterprise data quality frameworks including validation, deduplication, anomaly detection, and observability.
• Optimize SQL workloads and large-scale distributed queries through performance tuning, partitioning, indexing, and workload management strategies.
• Design and oversee ML pipelines supporting personalization, churn modeling, and recommender systems.
• Partner with Data Science teams to productionize models using distributed platforms such as Databricks (Spark, Delta Lake, MLflow preferred).
• Ensure secure data governance, access control (RBAC/ABAC), and compliance with GDPR, CCPA, and related privacy regulations.
• Provide architectural oversight ensuring performance, scalability, resilience, and maintainability.
• Collaborate with stakeholders to translate business objectives (LTV growth, personalization lift, engagement) into scalable data solutions.

REQUIREMENTS:

• Computer Science, Data Engineering, or related degree or equivalent experience.
• 12+ years experience architecting enterprise data platforms in cloud environments.
• 9+ years experience with data engineering with a focus on consumer data.
• 6+ years experience working with Salesforce platforms, including data models and enterprise integrations.
• Strong experience with Data 360 and identity resolution architectures.
• Proven expertise in SQL performance tuning and large-scale data modeling.
• Hands-on experience implementing ML pipelines and recommender systems in production environments.
• Experience with cloud technologies (AWS, GCP, or Azure).
• Experience with integration patterns (API, ETL, event streaming).
• Experience providing technical leadership and guidance across multiple projects and development teams.
• Experience translating business requirements into detailed technical specifications and working with development teams through implementation, including issue resolution and stakeholder communication.
• Strong project management skills including scope assessment, estimation, and clear technical communication with both business users and technical teams.
• Must hold at least one of the following Salesforce Certifications (Platform App Builder, Platform Developer 1, JavaScript Developer 1).
• Experience with Databricks or similar distributed data/ML platforms preferred.

Sr. Data Engineer (Hybrid)

Chicago, IL

The American Medical Association (AMA) is the nation's largest professional Association of physicians and a non-profit organization. We are a unifying voice and powerful ally for America's physicians, the patients they care for, and the promise of a healthier nation. To be part of the AMA is to be part of our Mission to promote the art and science of medicine and the betterment of public health.

At AMA, our mission to improve the health of the nation starts with our people. We foster an inclusive, people-first culture where every employee is empowered to perform at their best. Together, we advance meaningful change in health care and the communities we serve.

We encourage and support professional development for our employees, and we are dedicated to social responsibility. We invite you to learn more about us and we look forward to getting to know you.

We have an opportunity at our corporate offices in Chicago for a Sr. Data Engineer (Hybrid) on our Information Technology team. This is a hybrid position reporting into our Chicago, IL office, requiring 3 days a week in the office.

As a Sr. Data Engineer, you will play a key role in implementing
and maintaining AMA's enterprise data platform to support analytics,
interoperability, and responsible AI adoption. This role partners closely with
platform engineering, data governance, data science, IT security, and business
stakeholders to deliver highquality, reliable, and secure data products. This
role contributes to AMA's modern lakehouse architecture, optimizing data
operations, and embedding governance and quality standards into engineering
workflows. This role serves as a
senior technical contributor within the team-providing mentorship to junior
engineers and implementing engineering best practices within the data platform function,
in alignment with architectural direction set by leadership.

RESPONSIBILITIES:

Data Engineering & AI Enablement

• Build and maintain scalable data pipelines and
  ETL/ELT workflows supporting analytics, operational reporting, and AI/ML use
  cases.
• Implement best practice patterns for ingestion,
  transformation, modeling, and orchestration within a modern lakehouse
  environment (e.g., Databricks, Delta Lake, Azure Data Lake).
• Develop highperformance
  data models and curated datasets with strong attention to quality, usability,
  and interoperability; create reusable engineering components and automation.
• Collaborate with the Architecture Team, the Data
  Platform Lead, and federated IT teams to optimize storage, compute, and
  architectural patterns for performance and costefficiency.
• Build model-ready data sets and feature
  pipelines to support AI/ ML use cases; serve as a technical coordination point
  supporting business units' AI-related infrastructure needs.
• Collaborate with data scientists and AI Working
  Group to operationalize models responsibly and maintain ongoing monitoring
  signals.

Governance, Quality & Compliance

• Embed data governance, metadata standards,
  lineage tracking, and quality controls directly into engineering workflows;
  ensure technical implementation and alignment within engineering workflows.
• Work with the Data Governance Lead and business
  stakeholders to operationalize stewardship, classification, validation,
  retention, and access standards.
• Implement privacybydesign and securitybydesign
  principles, ensuring compliance with internal policies and regulatory
  obligations.
• Maintain documentation for pipelines, datasets,
  and transformations to support transparency and audit requirements.

Platform Reliability, Observability & Optimization

• Monitor and troubleshoot pipeline failures,
  performance bottlenecks, data anomalies, and platformlevel issues.
• Implement observability tooling, alerts,
  logging, and dashboards to ensure endtoend reliability.
• Support cost governance by optimizing compute
  resources, refining job schedules, and advising on efficient architecture.
• Collaborate with the Data Platform Lead on
  scaling, configuration management, CI/CD pipelines, and environment management.
• Collaborate with business units to understand
  data needs, translate them into engineering requirements, and deliver
  fit-for-purpose data solutions; share and apply best practices and emerging
  technologies within assigned initiatives.
• Work with IT Security and Legal/ Compliance to
  ensure platform and datasets meet risk and regulatory standards.
  

Staff Management

• Lead, mentor, and provide management oversight
  for staff.
• Responsible for setting objectives, evaluating
  employee performance, and fostering a collaborative team environment.
• Responsible for developing staff knowledge and
  skills to support career development.

May include other responsibilities as assigned

REQUIREMENTS:

1. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field preferred or equivalent work experience and HS diploma/equivalent education required.
2. 5+ years of experience in data engineering within cloud environments
3. Experience in people management preferred.
4. Demonstrated hands-on experience with modern data platforms (Databricks preferred).
5. Proficiency in Python, SQL, and data
   transformation frameworks.
6. Experience designing and operationalizing
   ETL/ELT pipelines, orchestration workflows (Airflow, Databricks Workflows), and
   CI/CD processes.
7. Solid understanding of data modeling,
   structured/unstructured data patterns, and schema design.
8. Experience implementing governance and quality
   controls: metadata, lineage, validation, stewardship workflows.
9. Working knowledge of cloud architecture, IAM,
   networking, and security best practices.
10. Demonstrated ability to collaborate across
    technical and business teams.
11. Exposure to AI/ML engineering concepts, feature
    stores, model monitoring, or MLOps patterns.
12. Experience with infrastructureascode
    (Terraform, CloudFormation) or DevOps tooling.

The American Medical Association is located at 330 N. Wabash Avenue, Chicago, IL 60611 and is convenient to all public transportation in Chicago.

This role is an exempt position, and the salary range for this position is $115,523.42-$150,972.44. This is the lowest to highest salary we believe we would pay for this role at the time of this posting. An employee's pay within the salary range will be determined by a variety of factors including but not limited to business consideration and geographical location, as well as candidate qualifications, such as skills, education, and experience. Employees are also eligible to participate in an incentive plan. To learn more about the American Medical Association's benefits offerings, please click here.

We are an equal opportunity employer, committed to diversity in our workforce. All qualified applicants will receive consideration for employment. As an EOE/AA employer, the American Medical Association will not discriminate in its employment practices due to an applicant's race, color, religion, sex, age, national origin, sexual orientation, gender identity and veteran or disability status.

THE AMA IS COMMITTED TO IMPROVING THE HEALTH OF THE NATION

Join a leading pharmaceutical company’s Data Science team, where you’ll drive and lead advanced analytics across Marketing, Sales, and Access. As Associate Director (Or Sr Manager), A HIGH LEVEL INDIVIDUAL CONTRIBUTOR, you’ll lead strategic initiatives from predictive modeling and personalization to field force optimization, delivering scalable solutions that inform commercial decisions and enhance patient engagement. Deep experience in pharmaceutical marketing analytics is essential to translate brand strategy into actionable insights.

Keywords: MMM, Next Best Action, NLP, Data Science, HCP, GenAI

Location: Onsite 3 days a week in Cambridge, MA

Key Responsibilities

• Lead development and deployment of predictive models, segmentation, NLP, and GenAI tools to solve complex commercial challenges
• Translate pharmaceutical brand objectives into analytics frameworks across marketing, sales, and access
• Design and operationalize Next Best Action strategies to boost omnichannel engagement and HCP ROI
• Build and scale Patient 360 models and targeting algorithms for AI-driven lead generation
• Guide stakeholders through insight activation and integration into workflows
• Champion model governance, experimentation, and analytical rigor
• Collaborate with IT to develop ML Ops environments and productized solutions
• Manage external analytics partners and ensure alignment across data engineering, insights, and compliance

Who You Are

A strategic data scientist with strong business acumen, leadership presence, and deep experience in pharmaceutical marketing analytics. You thrive at the intersection of data and action, delivering measurable impact.

Qualifications

• 5+ years in analytics role within pharmaceutical industry
• Proven experience in pharmaceutical marketing analytics, including brand strategy, HCP engagement, and omnichannel optimization
• Expertise in NBA, MMM, supervised/unsupervised learning, A/B testing, time-series forecasting
• Success in marketing mix modeling, decision engines, and GenAI product design
• Proficient in Python, R, SQL, Snowflake; skilled in Power BI or Tableau
• Familiarity with APLD, PlanTrak, claims, and specialty pharmacy datasets
• Strong communicator with executive presence and cross-functional influence

Send resume to

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

Job Description Summary:

The Amazon Planner is responsible for the creation of financial sales plans, actualization of results, and communicating business risks/opportunities at the division, category, and style level. This position will be responsible for maintaining appropriate inventory levels that support baseline and promotional sales. Supporting assortment initiatives, while achieving inventory in-stock, turn over and financial goals.

Job Description- Key Accountabilities

• Create wholesale preseason sales, margin and inventory plans by Division/Category/Style that support product and financial strategies
• Analyze historical data and current trends to identify risks and opportunities by Division/Category
• Manage in-season sales and stock performance weekly, executing formal reforecast on monthly basis
• Present forecasts and action plans in monthly open-to-buy meetings across 52-week horizon
• Recap monthly/quarterly best-sellers by category against last plan and LY
• Analyze and communicate size and color selling to impact future receipts
• Collaborate with TCP Merchant team on aligned assortment approach
• Collaborate with TCP planning and inventory management teams on cross channel inventory movements
• Ownership of weekly selling reports for Amazon

Education and Experience

Bachelor’s degree

3+ years of experience in related role; wholesale planning preferred

Skills and Behavior

• Strong data analysis skills; ability to identify critical trends, patterns and root causes
• High level of comfort using and creating custom tools
• High level of comfort in excel based tools; perform calculations and automation to process large volumes of data
• Ability to develop strategies driving sales and inventory buying decision making
• Strong knowledge of retail market, including nuance of wholesale planning
• Proficiency in Cognos or other BI tools/data sources
• JDA Knowledge a plus
• Vendor Central a plus
• Strong sense of urgency, high energy, and enthusiasm
• Ability to work under pressure, through setbacks and ambiguity
• Ability to work with and build relationships with all levels of the organization
• Strong verbal and written communication skills

AMAZON INVENTORY & PERFORMANCE PLANNER

(1P / 3P – Domestic & International)

Location: Westbury, NY (On-Site)

Department: Sales / Planning

Reports To: Director of Planning

Employment Type: Full-Time

Position Overview

We are seeking a highly analytical and commercially minded Amazon Inventory & Performance Planner to oversee the health, efficiency, and profitability of our Amazon business across both 1P (Vendor Central) and 3P (Seller Central) channels — domestically and internationally.

This role owns the strategic management of inventory health over time — ensuring strong inventory turns, minimal aged exposure, optimized assortment productivity, and disciplined in-season performance management.

The ideal candidate understands how to balance growth and inventory risk across multiple licensed brands while driving operational and financial performance.

Core Responsibilities

Inventory Health & Turn Optimization (Primary Focus)

• Monitor and manage aged inventory across 1P and 3P businesses
• Analyze inventory turn and identify opportunities to improve velocity
• Develop strategies to reduce excess and aging inventory exposure
• Track Weeks of Cover and inventory efficiency across brands
• Partner with Sales to proactively address slow-moving SKUs
• Recommend liquidation, promotional, or pricing strategies where needed

In-Season Performance Management

• Monitor weekly and monthly sell-through trends
• Identify underperforming styles early and recommend action plans
• Support promotional planning to drive velocity where needed
• Hold cross-functional stakeholders accountable to performance targets
• Provide leadership with clear visibility into in-season risks and opportunities

Assortment Optimization

• Analyze assortment productivity across brands and channels
• Identify opportunities to:
• Expand high-performing categories
• Rationalize underperforming SKUs
• Improve mix by margin contribution
• Support new product launch decisions with performance data
• Evaluate duplication or cannibalization across 1P and 3P

1P / 3P Channel Management

• Monitor inventory exposure differences between 1P and 3P models
• Evaluate margin implications across channels
• Identify operational inefficiencies impacting inventory flow
• Track chargebacks and operational deductions (1P) in partnership with Finance
• Monitor stranded, aged, and excess FBA inventory (3P)

International Marketplace Oversight

• Monitor inventory health across international marketplaces
• Identify regional slow-moving inventory risk
• Support international allocation strategies
• Coordinate with Operations regarding longer lead times and compliance constraints

Reporting & Leadership Communication

• Develop dashboards tracking:
• Inventory turn
• Aged inventory %
• In-stock %
• Weeks of Supply
• Revenue by brand/channel
• Present clear, actionable summaries to leadership
• Provide forward-looking risk assessment and mitigation plans

Key Performance Metrics

This role directly influences:

• Inventory turnover
• Aged inventory %
• Excess inventory exposure
• Gross margin preservation
• In-season sell-through
• Assortment productivity

Qualifications

• 3–6 years of Amazon planning, inventory management, or eCommerce analytics experience
• Direct experience with both Vendor Central (1P) and Seller Central (3P) preferred
• Strong understanding of inventory turns and working capital impact
• Advanced Excel skills (pivot tables, modeling, dashboard creation)
• Strong commercial mindset — understands margin and inventory risk
• Experience in apparel or consumer products preferred
• Experience with international Amazon marketplaces a plus
• Strong communication and presentation skills

Meet REVOLVE:

REVOLVE is the next-generation fashion retailer for Millennial and Generation Z consumers. As a trusted, premium lifestyle brand, and a go-to online source for discovery and inspiration, we deliver an engaging customer experience from a vast yet curated offering totaling over 45,000 apparel, footwear, accessories and beauty styles. Our dynamic platform connects a deeply engaged community of millions of consumers, thousands of global fashion influencers, and more than 500 emerging, established and owned brands. Through 16 years of continued investment in technology, data analytics, and innovative marketing and merchandising strategies, we have built a powerful platform and brand that we believe is connecting with the next generation of consumers and is redefining fashion retail for the 21st century. For more information please visit REVOLVE the most successful team members have a thirst and the creativity to make this the top e-commerce brand in the world. With a team of 1,000+ based out of Cerritos, California we are a dynamic bunch that are motivated by getting the company to the next level. It’s our goal to hire high-energy, diverse, bright, creative, and flexible individuals who thrive in a fast-paced work environment. In return, we promise to keep REVOLVE a company where inspired people will always thrive.

To take a behind the scenes look at the REVOLVE “corporate” lifestyle check out our Instagram @REVOLVEcareers or #lifeatrevolve.

Are you ready to set the standard for Premium apparel?

Main purpose of the Senior Data Science Analyst role:

Use a diverse skill sets across math and computer science, dedicated to solving complex and analytically challenging problems here at Revolve.

Major Responsibilities:

Essential Duties and Responsibilities include the following. Other duties may be assigned.

• Partner closely with business leaders in Marketing, Product, Operations, Buying team to plan out valuable data science projects
• Conduct complex analysis and build models to uncover key learning form data, leading to appropriate strategy recommendations.
• Work closely with the DBA to improve BI’s infrastructure, architect the reporting system, and invest in time for technical proof of concept.
• Work closely with the business intelligence and tech team to define, automate and validate the extraction of new metrics from various data sources for use in future analysis
• Work alongside business stakeholders to apply our findings and models in website personalization, product recommendations, marketing optimization, to fraud detection, demand forecast, CLV prediction.

Required Competencies:

To perform the job successfully, an individual should demonstrate the following competencies:

• Outstanding analytical skills, with strong academic background in statistics, math, science or technology.
• High comfort level with programming, ability to learn and adopt new technology with short turn-around time.
• Knowledge of quantitative methods in statistics and machine learning
• Intense intellectual curiosity – strong desire to always be learning
• Proven business acumen and results oriented.
• Ability to demonstrate logical thinking and problem solving skills
• Strong attention to detail

Minimum Qualifications:

• Master Degree is required
• 3+ years of DS and ML experience in a strong analytical environment.
• Proficient in Python, NumPy and other packages
• Familiar with statistical and ML methodology: causal inference, logistic regression, tree-based models, clustering, model validation and interpretations.
• Experience with AB Testing and pseudo-A/B test setup and evaluations
• Advanced SQL experience, query optimization, data extract
• Ability to build, validate, and productionize models

Preferred Qualifications:

• Strong business acumen
• Experience in deploying end to end Machine Learning models
• 5+ years of DS and ML experience preferred
• Advanced SQL and Python, with query and coding optimization experience
• Experience with E-commerce marketing and product analytics is a plus

A successful candidate works well in a dynamic environment with minimal supervision. At REVOLVE we all roll up our sleeves to pitch-in and do whatever it takes to get the job done. Each day is a little different, it’s what keeps us on our toes and excited to come to work every day.

A reasonable estimate of the current base salary range is $120,000 to $150,000 per year.