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Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Purple drive Salaries by Position

Job Title: Big Data Engineer with Python and Cloud Experience Candidate must be on our W2 Location: Santa Clara CA (Hybrid/Onsite) Experience Required: 410 years Job Type: FullTime Hadoop,AWS,Azure,Kafka

Position: Azure Databricks Data Engineer Location: Chicago IL(Onsite) Duration: 6months Job Description: Design/Development: You will design and support the business s database and table schemas for new and existing data sources for the Lakehouse. Create and support the ETL in order to facilitate the movement of data into the Lakehouse. Through your work you will ensure The data platform is scalable for large amounts of data ingestion and processing without service degradation. Processes are built for monitoring and optimizing performance Implement Chaos Engineering practices and measures that allow the endtoend infrastructure to function as expected even if individual components fail Collaboration : You will be collaborative working closely with Product Owners application engineers and other data consumers within the business in an attempt to gather and deliver high quality data for businesscases. Work closely with other disciplines/departments and teams across the business in coming up with simple functional and elegant solutions that balance data needs across the business Analytics : You will play an analytical role in quickly and thoroughly analyzing business requirements and subsequently translating the emanating results into good technical data designs. Document the data solutions develop and maintain technical specification documentation for all reports and processes. Skills you MUST have: 6 years proven ability of professional Data Development experience 3 years proven ability of developing with Azure Databricks or Hadoop/HDFS 3 years of experience with PySpark/Spark 3 years of experience with SQL 3 years of experience developing with Python Full understanding of ETL concepts and Data Warehousing concepts Data modeling and query optimization skills implementation experience of Data Vault Star Schema and Medallion architecture Experience with CI/CD Experience with version control software Strong understanding of Agile Principles (Scrum) Experience with Azure Experience with Databricks Delta Tables Delta Lake Delta Live Tables Bonus Points For Experience In The Following Proficient with Relational Data Modeling Experience with Python Library Development Experience with Structured Streaming (Spark or otherwise) Experience with Kafka and/or Azure Event Hub Experience with GitHub SaaS / GitHub Actions Experience with Snowflake/ Exposure to BI Tooling (Tableau Power BI Cognos etc.) Mandatory skills: Azure Databricks Pyspark Azure Data Factory azure databricks

Job Title: Data Scientist with AI/ML Expertise Candidate must be on our W2 Location: Santa Clara CA (Hybrid/Onsite) Experience Required: 410 years Job Type: FullTime About Purple Drive Technologies: At Purple Drive Technologies we specialize in providing comprehensive information technology services consulting and digital solutions tailored for enterprises and system integrators. Headquartered in Irvine California with a base in India we pride ourselves on building effective teams through proven efficiencies. Required Technical Skills: Primary Skills: <ul> <li>Strong proficiency in machine learning and deep learning frameworks such as TensorFlow PyTorch and ScikitLearn.</li> <li>Expertise in data analysis feature engineering and predictive modeling.</li> <li>Proficiency in Python and/or R for data science tasks.</li> <li>Experience with big data tools such as Spark Hadoop or Dask for handling large datasets.</li> <li>Strong understanding of supervised unsupervised and reinforcement learning algorithms.</li> <li>Familiarity with data visualization tools like Tableau Power BI or Matplotlib/Seaborn.</li> <li>Knowledge of cloudbased machine learning platforms (AWS SageMaker Azure ML or Google AI Platform).</li> </ul> Secondary Skills: <ul> <li>Working experience in natural language processing (NLP) and computer vision.</li> <li>Familiarity with MLOps and deploying models in production environments.</li> <li>Experience with SQL and NoSQL databases for data management and retrieval.</li> </ul>Pytorch,Data Analysis,Hadoop,Power BI,Tableau

<table> <tbody> <tr> <td> Relevant Experience: 9 Years Duties & Responsibilities: <ul> <li>Facilitate requirements gathering sessions with stake holders.</li> <li>Assist Product owner in building product road maps in line with organizational priorities.</li> <li>Analyse ASIS process to identify gaps and needs in existing processes and systems. </li> <li>Develop ToBe process addressing all gaps and needs of customers.</li> <li>Work with stake holders to understand and gather requirements.</li> <li>Elicit functional requirements and develop user stories in Agile framework.</li> <li>Coordinate adhoc meetings with SMEs for requirement clarifications/elaboration</li> <li>Guide offshore business analysts in line with product road map to ensure sufficient backlog for team to develop increment</li> <li>Good experience and understanding of Scrum in developing epics user stories supplementary requirements and business rules </li> <li>Create Mockups and Wireframes as part of requirements elaboration and user stories (JIRA)</li> <li>Facilitate client review and requirements approval</li> <li>Brainstorm with clients and help them prioritize requirements for each sprint and arrive at timelines.</li> <li>Maintain and groom product backlog</li> <li>Facilitate walkthrough sessions for Development and QA teams</li> <li>Root cause analysis for the defects encountered by business users during UAT</li> <li>Change request management for new features and enhancements identified during sprint</li> <li>Leadership management Reviews Prepare presentations showcasing Project Metrics risks and mitigation strategies.</li> </ul> Required Skills: <ul> <li>7yrs of Expertise as Business Analyst in Banking domain (CRM Retail and Commercial)</li> <li>CPBA (Certified Pega Business Architect)</li> <li>Strong understanding of Business Process Automation tools like Pega</li> <li>Experience in Agile Scrum Methodology</li> <li>Hands on experience in JIRA</li> <li>Banking Domain Experience (CRM Retail and Commercial)</li> </ul> </td> </tr> </tbody> </table>

Job Title : Data Analyst Location : MTV CA or remote Job Description Responsibilities Analyze data on the experiences of customers articulate and visualize their overall experience and gain actionable insights from them Drive own and execute data collection from customers including surveys CRM linkages and report development Develop data visualizations to drive more informed business decisions Utilize business process modeling to create models that reflect an intuitive nontechnical model of how the business is conducted Identify key trends and outliers across customer verbatims scores and feedback Identify issues and recommend changes to drive databased strategic decision making Produce insightful data analysis to educate the business on trends and areas of opportunity around customer experience Plan and lead crossfunctional design sessions that leverage key findings Establish and maintain effective working relationships with internal stakeholders and external partners Education Bachelors degree in IT business computer science statistics or a related field Required Skills and Experience 7 years of experience in a customer experience role Expertise in developing dashboards and visualizations using Qlik sense Expertise in database design and SQL Experience working with customers in a multichannel setting including chat email and phone support Experience with business process mapping process analysis and needs assessments Experience working with large noisy and complex realworld data in preparation for statistical analysis Experience performing data analysis and reporting in both detail and summary formats Experience working with market and customer research inputs Strong statistical and mathematical skills Must have Mapping customer journey Qlik sense SQL

Job Title: Azure Data Engineer Candidate must be on our W2 Location: North America (Hybrid/Onsite) Experience Required: 510 years Job Type: FullTime About Purple Drive Technologies: At Purple Drive Technologies we specialize in providing comprehensive information technology services consulting and digital solutions tailored for enterprises and system integrators. Headquartered in Irvine California with a base in India we pride ourselves on building effective teams through proven efficiencies. Required Technical Skills: Primary Skills: <ul> <li>Strong expertise in Azure Data Platform services including Azure Data Factory Azure Databricks and Azure Synapse Analytics.</li> <li>Proficient in data integration and transformation with experience designing and implementing ETL pipelines.</li> <li>Handson experience with SQL and data modeling for structured and unstructured data.</li> <li>Knowledge of Azure storage solutions such as Blob Storage and Data Lake Storage.</li> <li>Expertise in handling and processing large datasets both batch and realtime.</li> <li>Familiarity with data governance data quality and data security within Azure.</li> <li>Experience with CI/CD practices for data engineering including version control with Git and deployment pipelines in Azure DevOps.</li> </ul> Secondary Skills: <ul> <li>Knowledge of Python or Scala for data transformation and processing.</li> <li>Familiarity with Power BI or other visualization tools for data analysis and reporting.</li> <li>Understanding of data warehousing concepts and working experience with SQL and NoSQL databases.</li> <li>Exposure to big data technologies and distributed computing frameworks like Spark.</li> </ul>Azure,SQL

Requirement: <ul> <li>Experienced Lead SSIS Developer / SQL Developer to design develop and maintain robust data integration solutions using SQL Server Integration Services (SSIS).</li> <li>strong background in SQL development and a deep understanding of ETL processes.</li> <li>Design develop and maintain ETL processes using SSIS to extract transform and load data from various sources into data warehouses or databases.</li> <li>Implement complex data transformations and integrations to meet business requirements.</li> <li>Write and optimize SQL queries and stored procedures for data extraction manipulation and reporting.</li> <li>Create and maintain database objects such as tables views and indexes to support ETL processes and data analysis.</li> <li>Monitor and optimize SSIS package performance to ensure efficient data processing and minimal impact on system resources</li> <li>Troubleshoot and resolve issues related to data integration and ETL processes</li> </ul>

Skills Required: 5 years of relevant experience as a handson quantitative investment professional with a track record of developing predictive alpha models in fixed income markets. Masters or PhD in a technical or quantitative discipline (e.g. statistics mathematics physics electrical engineering computer science applied economics or finance). Systematic Fixed Income investing experience a plus. Proficiency in at least one programming language ideally Python with additional experience in PySpark SAS MATLAB or R being advantageous. Hands on experience working in Azure Cloud Services ADLS ADF Databricks will be very helpful. Strong knowledge of asset pricing factor anomaly literature and the application of sustainability data within an investing context. Expertise across the entire quantitative investment lifecycle including alpha research risk management portfolio management trade execution and the application of technology. Experience in applying machine learning models within an investing context with familiarity in alternative data as an advantage. Ability to think independently creatively approach data analysis and clearly communicate complex ideas. Mandatory skills Data Science PySpark Azure DataFactory Azure Databricks Secondary skills: Asset Management

At least 8 years of experience as a Salesforce BA. Experience with Sales Cloud and Service Cloud required with CPQ DPA/RPA preferred Proficiency in Agile/Scrum and associated tools (Jira preferred) High level of written/oral communication skills. The Salesforce Business Analyst is responsible for discovering and documenting business processes and business objectives and converting them into requirements and user stories. Should have experience with Agile and Scrum The SFDC BA also works closely with the Solution Architect and Experience Owner (Product Owner) to refine stories conduct UAT and execute other standard BA functions in an Agile environment. Collaborate with multiple stakeholders through a variety of mediums (workshops discovery sessions story grooming sessions etc.) to define what the stakeholder(s) are looking to achieve and conduct detailed analysis on the requirement (e.g. persona definition journey mapping costbenefit analysis pros/cons of solutions from the Solution Architect). Advise business on SFDC best practices for requirements and adoption of Salesforce features. Maintain detailed documentation on user stories/features/epics/initiatives in Jira. Work directly with Solution Architecture in an Agile fashion to refine stories for development. Conduct UAT testing and sign off in conjunction with the associated Experience (Product) Owner and business Stakeholder Champion(s). Become a subject matter expert in one or more of our functional areas (Sales Service Finance)

<table> <tbody> <tr> <td> Key qualification </td> <td> 5 years of Strong Salesforce experience with 2 years of experience in Salesforce Marketing Cloud Demonstrate solid knowledge of Salesforce Marketing Cloud standard methodologies and functionality including Email studio Mobile Studio Automation studio Journey Builder Interaction Studio Ad Studio and Audience Builder Experience of Leading client workshops to facilitate best practice solutions and designs for marketing automation. Experience with Automations Journey set up and development SMS campaigns mobile app notifications data model development. Certified Salesforce marketing cloud system Administrator Demonstrable expertise in Salesforce CRM reporting & analytics </td> </tr> <tr> <td> Roles and Responsibilities </td> <td> Lead Discovery session: Lead Discovery Workshop Sessions with Business teams to capture document requirements. Design and document solutions: Design and document endtoend solutions for key business requirements Communicate with nontechnical stakeholders: Communicate complex technical concepts to nontechnical stakeholders and executives. Document User Stories and Acceptance Criteria: Train and support endusers: Provide training and support to endusers as needed. </td> </tr> </tbody> </table>

Purple drive Interview Questions

Purple drive Interview Guides

Purple drive Interview Questions

Purple drive Salaries by Position

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