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- Degree in statistics, engineering or a related discipline and a passion or expertise in data and statistical analysis.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Experience working in areas such as data warehousing, databases, data visualization, statistics, data analysis, A/B Experiments, reporting, basic machine learning and modeling.
- Experience and knowledge of statistical modeling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
- Comfortable working with massive unstructured data sets.
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Expertise in deriving insights from large amounts of data is mandatory
- Expertise in customer segmentation, user profiling, and churn analysis is required.
- Ability to work with large data sets and to interpret them statistically is expected.
- Experience working with and creating databases and dashboards using all relevant data to inform decisions.
- Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
- Strong problem solving, quantitative and analytical abilities.
- A least 2 years of experience in monitoring, managing, manipulating and drawing insights from data.
- Strong programming skills(Proficiency) with one or more: Python and R, SQL
- Experience with big data tools: Bigquery, Pubsub, MapReduce
- Experience with data visualization tools: Tableau, DataStudio, d3.js, ggplot.
- Experience using machine learning algorithms, data analytics strong algorithmic thinking and good programming skills will be useful
- Experience with Google technologies like Protocol Buffers, Bigtable, Spanner, and Bazel is a huge plus.
- Degree in Statistics or Engineering
- Ability to construct complex SQL queries
- Ability to manipulate data in R or Python, ideally both
- Understanding of machine learning algorithms and usage
- Ability to construct continuously running data pipelines
- ID: #44586637
- State: California Fremont 94536 Fremont USA
- City: Fremont
- Salary: Depends on Experience
- Job type: Permanent
- Showed: 2022-08-04
- Deadline: 2022-09-23
- Category: Et cetera