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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

We’re given a table of bank transactions with three columns, <code>user_id</code>, a deposit or withdrawal value (determined if the value is positive or negative), and <code>created_at</code> time for each transaction.

Write a query to get the total three-day rolling average for deposits by day.

Note: Please use the format <code>&#39;%Y-%m-%d&#39;</code> for the date in the outout

Example:

Input:

<code>bank_transactions</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>user_id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>created_at</code></td>
<td>DATETIME</td>
</tr>

<tr>
<td><code>transaction_value</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>dt</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>rolling_three_day</code></td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Rolling Bank Transactions

System One Salaries by Position

Position Title: Software Engineer LeadLocation: RemoteFor immediate consideration, you can reach me out at 412.516.1987/ shafique.mohammed@systemone.com Industry background: Diverse industry background need Java/Oracle/MySQL skills.Team Dynamic:Team size of 6-7 core team members, plus others as needed.Will work with software engineers, quality engineers, business systems analysts, and technology managers on a daily/weekly basis.Roles and Responsibilities:1. Modernize the payments platform by refactors/creating new code in Java/Oracle/MySQL as needed, be organized, be present and participate in crew ceremonies, identify and call out potential risk as needed.2. Code software including unit tests, code database, deploy software/database, ensure that all code is tested and packaged for production deploymentMust Have Technical Skills (Min 8years): Java/Springboot/MySQL/Oracle Database1. Java2. Springboot3. MySQL4. Oracle DatabaseSummary:Responsible for writing programs to maintain and control computer systems software for operating systems, networked systems, and database systems. Responsible for creating the software platform, and then fine-tuning the final program after it has been made.Job Responsibilities: Consult with engineering staff to evaluate interface between hardware and software, develop specifications and performance requirements and resolve customer problems. Advise customer about, or perform, maintenance of software system. Develop and direct software system testing and validation procedures. Inform customers or other departments on project status, proposals and technical issues such as software system design and maintenance. Direct software programming and development of documentation.Skills: Verbal and written communication skills, problem solving skills, customer service and interpersonal skills. Ability to work independently and manage one's time. Knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery. Ability to troubleshoot issues and make system changes as needed to resolve issue. Knowledge of computer development software, such as SQL, Java, J2EE, etc.Education/Experience: High School Degree and Bachelors degree in computer science/relevant field or equivalent work experience required. 8years experience required.Thanks,Shafique MohammedRecruiting Manager210 Sixth Avenue, Suite 3100 Pittsburgh, PA 15222412.516.1987 (o)

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenkosystemone.com - make sure to include the exact job title and job location in your email message. Lead Data Scientist : - Lead various analytical projects for credit card decision science initiatives - Supervise junior analysts - Create data-driven presentations for product team collaboration - Develop and implement consumer lending strategies - Design and execute machine learning models for credit decisioning - Analyze large-scale credit card portfolio performance Required Qualifications (Skills, Experience, Education, Certifications) : - Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field - Experience in consumer lending data analytics, preferably with a major financial institution - Experience with Python / PySpark for large-scale data analysis - Experience with data visualization tools, particularly Tableau - Experience with statistical analysis and machine learning model development - Knowledge of credit risk assessment and decision science methodologies For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenkosystemone.com - make sure to include the exact job title and job location in your email message. .

ALTA IT Services is looking for a Data Engineer to work for a large government contractor in Washington DC Metro area. This is an exciting opportunity to join a great team and bring your skills to the table. Duration: Six-month temp to perm Pay Rate: 75-85/hr W-2 Clearance: Active DoD Secret - would love higher Work Model: Hybrid - 3 days on-site in Arlington VA The ideal candidate will have a strong background in data engineering and experience in designing, implementing, and maintaining robust pipelines. This role requires deep understanding of data architecture, data warehousing, ETL processes and big data technologies. The Data Engineer will work closely with data scientists, analyst, and other stakeholders to ensure the seamless flow and integrity of data across the organization. Responsibilities : Build, maintain, and optimize data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse. Integrate large, complex data sets that meet functional and non-functional business requirements. Design and implement scalable and reliable data warehousing solutions. Extract data from various sources, transform it into a usable format, and load it into Azure data storage solutions such as Azure Data Lake Storage, Azure SQL Database, or Azure Synapse Analytics Develop and maintain data pipelines using Azure Data Factory and other relevant Azure technologies Manage and optimize databases, ensuring data quality, integrity, and security. Automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability. Collaborate with data scientists, analysts, and other stakeholders to understand data needs and deliver high-quality data solutions. Document data flows, processes, and system architecture to ensure clarity and knowledge sharing within the team. Required : An active DoD Secret clearance. BA/BS in Computer Science, Information Technology, Data Analytics, or related field. 5 years of related experience. Strong experience in data extract transform load (ETL) processes using Azure services, such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, or Azure Synapse Analytics. 4 years experience and skill writing coding languages (such as SQL, Python, R, SAS, and Java Scripts). 2 years experience working with projects involving machine learning, natural language processing, robotics process automation, artificial intelligence, text and/or data mining, as well as statistical and mathematical methods. Experience with using SQL to conduct complex database queries. Experience with AI/ML. Desired : 2 years of experience working within the DoD or IC Community. Master's degree in Mathematics, Statistics, CS, or Data Analytics. Clearance: TS with SCI Eligibility. The project is specifically focusing on managed identities and cyber threats. You will be dealing with very large data sets of audit logs that will need to be cleaned and processed to use for data modeling. We are looking for someone who is "jack of all trades" and can do data engineering, analysis and science. System One, and its subsidiaries including Joul, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message. *** The job is on-site with a HYBRID work schedule. Candidates must be local or willing to relocate within commuting distance of Chicago IL, Pittsburgh PA, Wilmington DE Lead Data Scientist : - Lead various analytical projects for credit card decision science initiatives - Supervise junior analysts - Create data-driven presentations for product team collaboration - Develop and implement consumer lending strategies - Design and execute machine learning models for credit decisioning - Analyze large-scale credit card portfolio performance Required Qualifications (Skills, Experience, Education, Certifications) : - Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field - Experience in consumer lending data analytics, preferably with a major financial institution ( ideally a mid-to-large bank or a fintech lender building strategies for originating new loans/credit cards; and/or building strategies for managing an existing portfolio of loans/credit cards ) - Experience with credit bureau attributes and internal risk/return metrics of a consumer lending product (preferably credit card) - Experience in querying, analyzing and synthesizing large consumer lending datasets that provide credit profiles of various account originations along with their performance from a delinquency, loss, and revenue standpoint. - Should bring to the table expertise in consumer lending (preferably credit care) performance data analysis along with a foundational knowledge of Machine Learning techniques - Experience with Python / PySpark for large-scale data analysis - Experience with data visualization tools, particularly Tableau - Experience with statistical analysis and machine learning model development - Experience working in a fast-paced environment partnering with various stakeholders (e.g. Product and Credit Risk teams) to simultaneously manage multiple ongoing changes in lending strategies. - Experience reviewing the work of junior analysts and providing feedback. For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message. .

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message.Lead Data Scientist :- Lead various analytical projects for credit card decision science initiatives- Supervise junior analysts- Create data-driven presentations for product team collaboration- Develop and implement consumer lending strategies- Design and execute machine learning models for credit decisioning- Analyze large-scale credit card portfolio performanceRequired Qualifications (Skills, Experience, Education, Certifications) :- Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field- Experience in consumer lending data analytics, preferably with a major financial institution- Experience with Python / PySpark for large-scale data analysis- Experience with data visualization tools, particularly Tableau- Experience with statistical analysis and machine learning model development- Knowledge of credit risk assessment and decision science methodologiesFor immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message..

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message. Contract position for 6 month; REMOTE WORK -- however, FIRST preference will be given to candidates who are either local or can relocate for on-site work (hybrid schedule) to: Pittsburgh PA, Cleveland OH, Birmingham AL, Dallas TX, Phoenix AZ Data Scientist :- Develop data science solutions to enhance bank operations- Collaborate with a team of data scientists of varying levels to complete use cases- Analyze, prepare, and wrangle data for analytical purposes- Design and implement advanced analytics models- Develop deployment scripts for production environments- Communicate findings and present results to stakeholders- Lead and contribute to the completion of various data science use casesRequired Qualifications (Skills, Experience, Education, Certifications) :- Master's degree in Computer Science, Statistics, etc- Strong proficiency in Python programming language- Extensive experience with data science libraries and frameworks, including Scikit-Learn, XGBoost, and LightGBM- Demonstrated expertise in Apache Spark for big data processing- Solid understanding of statistics and Bayesian statistics specifically- Proficiency in deep learning libraries such as Keras/TensorFlow, PyTorch, or MXNet- Strong SQL skills for database querying and manipulation- Ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders- Experience in developing and deploying machine learning models in production environmentsFor immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message..

For immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message. The job is on-site with a HYBRID work schedule. Candidates must be local or willing to relocate within commuting distance of Chicago IL, Pittsburgh PA, Wilmington DELead Data Scientist :- Lead various analytical projects for credit card decision science initiatives- Supervise junior analysts- Create data-driven presentations for product team collaboration- Develop and implement consumer lending strategies- Design and execute machine learning models for credit decisioning- Analyze large-scale credit card portfolio performanceRequired Qualifications (Skills, Experience, Education, Certifications) :- Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field- Experience in consumer lending data analytics, preferably with a major financial institution- Experience with Python / PySpark for large-scale data analysis- Experience with data visualization tools, particularly Tableau- Experience with statistical analysis and machine learning model development- Knowledge of credit risk assessment and decision science methodologiesFor immediate consideration, please connect with me on LinkedIn at https://www.linkedin.com/in/dpotapenko and then email your resume, work authorization status, current location, availability, and compensation expectations directly to denis.potapenko@systemone.com - make sure to include the exact job title and job location in your email message..

PURPOSE OF POSITION:The Business Analyst (BA) is a technology resource acting as a liaison between technology teams and the business on medium to large IT projects. The BA is responsible for the elicitation of stakeholder business requirements, their assessment, documentation and translation to technology teams. The Business Analyst serves the business working closely with technology teams to ensure that business needs are met through technical solutions. As part of a highly collaborative team, the role will interact with many technical and business resources across the enterprise. The ideal candidate is a committed, creative, self-motivated technologist who is interested in practicing his or her skills and learning new ones.TASKS AND Responsibilities:The following duties are essential to the successful and satisfactory performance of this job. Other duties may be assigned. Collaborate with Business Relationship Managers, stakeholders, and subject matter experts to define business problems, objectives and scope of new projectsPrepare reports by collecting, analyzing, and summarizing information and trendsCollaborate with business stakeholders and technology team members to elicit, analyze, and validate business requirements for new products and cross-platform features & enhancementsDocument business requirements in an organized, traceable mannerTranslate vision, business needs & requirements to business stakeholders and development teamsCollaborate with business stakeholders and technology team members to define product concepts and technical solution designsEvaluate technology solutions, including off-the-shelf components, to ensure that they meet business requirementsTranslate technical solutions and constraints to businessDevelop business cases including solutions approach options, benefits, impact assessment, risks, assumptions & product cost/benefitAssist in the development of roadmaps, release plans & project planning activitiesAssist in the analysis and definition of user stories to support grooming activitiesEvaluate technology deliveries to meet business objectivesSupport the development of user acceptance and quality assurance testsCollaborate with project stakeholders to manage scope, requirements and organizational change management required to adopt processes and technology delivered by the projectMINIMUM EDUCATION: Bachelor's degree from an accredited institution or equivalent industry experienceCBAP Certification preferred.MINIMUM Experience: 3years of professional experience as an IT business analyst or comparable role on medium/large-scale software development projectsKNOWLEDGE, SKILLS, ABILITIES: Solid experience in business analysis planning and monitoring, elicitation, requirements analysis, design definition and solution evaluationStrong facilitation, critical / analytical thinking, and problem-solving skillsStrong requirements modeling & process mapping skillsExperience with both traditional Waterfall and Agile / Lean methodologiesExcellent MS-Excel, SQL and Visio skills. TFS experience preferredStrong communication skills and the ability to communicate appropriately at all levels of the organization; this includes written and verbal communications as well as visualizationsAbility to build strong partnerships and influence decision makers as well as process and technology adoptionProactively understand functional business areas and how they interact/overlap with each otherExperience modeling business processes using a variety of tools and techniquesExtensive experience planning and deploying both business and IT initiativesStrong business acumenExperience in defining and maturing business capability road mapsPHYSICAL DEMANDS AND WORK ENVIRONMENT:The physical demands and work environment described here are representative of those that must be met and/or encountered by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.While performing the duties of this job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; and communicate. The employee may be required to stand, walk, and sit.Specific vision abilities required by this job include the ability to view monitors, technical documents, and reference material.The noise level in the work environment is usually low to moderate

System One Interview Questions

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System One Interview Questions

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