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You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

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

Occam solutions, inc. Salaries by Position

<h3>Job Description</h3><div>Job Description<div>Salary: We are seeking Data Analysts to provide support to a customer to integrate as part of a team that will provide advanced analytical knowledge of data on the data science team, with a focus on conducting big data analysis, data conditioning, programming advanced computing, developing algorithms, developing software and data models, executing predictive analytics and utilizing visualization tools.   Responsibilities  ·        Use technology to mine complex, voluminous, and different varieties of data from various sources and platforms in order to collect, analyze, and compile data to meet customer needs  ·        Identify new sources of data and methods to improve data collection, analysis, and reporting  ·        Collect customer requirements  ·        Determine technical issues  ·        Design algorithms and data manipulation capabilities using R, Python, C++, JavaScript, Go, and other known programming languages  ·        Build data solutions, tools, and capabilities to enable self-service frameworks for data consumers to monitor and report on data  ·        Improve the quality of data use and usability by driving an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions  ·        Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products. Requirements/ Qualifications -      Possess a minimum of a bachelor's degree in a computer science discipline.  -     Experience providing services similar in required tasks, scope, and complexity. -     Direct hands on experience as a Data Analyst is required  -     Experience with working for or in support of SOF (Special Operations Forces) -     Experience with coding and understanding algorithms -     MUST HAVE Current TS/SCI  or TS clearance and eligible for SCI access and ACCM read-on.   Location – Location:  Ft. Bragg, NC</div></div>

<h3>Job Description</h3><div>Job Description<div>Salary: We are hiring for a Senior Data Engineer. The Data Engineer will work with the client to enable Enterprise Information Management services (e.g. metadata management, data tagging, data cataloging, etc.), data pipeline services based on mission needs and objectives of our client as they continue the build out and maintenance of their Big Data Platform infrastructure, platforms, and software. Experience needed:<ul><li>Experience with enterprise streaming data use cases is preferred.</li><li>Experience operating under a platform Authority to Operate in cloud environments, and hands-on experience in Risk Management Framework (RMF) security assessments, documenting assessments, and communicating the outcomes of these assessments to leadership.</li><li>Knowledge and hands-on experience with agile and DevSecOps methodologies.</li><li>Experience with CI/CD, ETL, Data Pipelines and Data Lakes.</li><li>AWS and Kubernetes experience needed.</li><li>Experience with Jenkins, Python and Terraform are critical.</li><li>Experience with Apache airflow is required.</li><li>Python experience is required.</li><li>Panda is a plus, but not required. </li><li>Experience operating data pipelines. Our devops team will build the pipeline, but the DE will need to know how to operate them. </li></ul> Education requirements: <ul><li>A master's degree in a specialized field plus a minimum of 1 year of applicable experience; or, a bachelor's degree in the specialized field plus 7 years of applicable experience; or, a bachelor's degree in any field with a minimum of 9 years of specialized experience.</li></ul> A secret clearance is needed for this role. Candidates that do NOT possess a Secret clearance will be declined. remote work</div></div>

<h3>Job Description</h3><div>Job Description<div>Salary: We are seeking a Data Scientist to provide support to formulate and lead guided, multifaceted analytic studies against large volumes of data.  As well as to integrate as part of a team that will provide advanced analytical knowledge of data on the data science team, with a focus on conducting big data analysis, data conditioning, programming advanced computing, developing algorithms, developing software and data models, executing predictive analytics and utilizing visualization tools. Offer is based on award of proposal.   Responsibilities<ul><li>Interpret and analyze data using exploratory mathematic and statistical techniques based on</li></ul>the scientific method.<ul><li>Coordinate research and analytic activities utilizing various data points (unstructured and</li></ul>structured) and employ programming to clean, massage, and organize the data<ul><li>Experiment against data points, provide information based on experiment results and</li></ul>provide previously undiscovered solutions to command data challenges.<ul><li>Lead all data experiments</li><li>Coordinate with Data Engineers to build Data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Work collaboratively with Intelligence and Data analysis teams to produce qualitative and quantitative data that support Intelligence products.</li></ul> Requirements/ Qualifications<ul><li>Master’s degree or bachelor’s degree in data science, Applied Mathematics, Statistics, Physics, Computer Science, or related fields.</li><li>Proficient with Python.</li><li> Demonstrated experience applying data science methods to real-world data problems.</li><li>Demonstrated experience developing and deploying AI/ML in support of decision making.</li><li>Current DoD secret clearance</li></ul>  Occam Solutions is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.</div></div>

Occam solutions, inc. Interview Questions

Occam solutions, inc. Interview Guides

Occam solutions, inc. Interview Questions

Occam solutions, inc. Salaries by Position

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