Data Science Jobs id - 1040
Industry: Private
Employment Type:- Full Time
Work Hours:- 8 Hours
Locations:- USA
Full Job Description:-
We, at Turing, are looking for exceptional data scientists who can do business/product research, create critical KPIs, and set product team goals. Apply for the best data science jobs and work with Silicon Valley's most prestigious firms.
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Job responsibilities
- Identify business issues and product/service enhancement possibilities
- Make strategic or tactical suggestions based on your analysis
- Use your knowledge of data cleansing and wrangling, quantitative analysis, and data mining to solve problems
- Look past the stats to see how people connect with our customers and products
- Collaborate with the product and engineering teams to address issues and uncover trends and opportunities
- Inform, influence, support, and execute our product decisions and product launches
- Forecasting and setting product team goals, designing and evaluating experiments
- Monitoring important product KPIs and figuring out what's causing them to change
- Creating and evaluating reports and dashboards
- Build major data sets to enable operational and exploratory analysis
- Defining and evaluating key metrics
- Specifying what should be included in the upcoming roadmap
- Identifying new levers to assist in the movement of critical metrics
- Creating user behavior models for analysis or to drive manufacturing systems
- Influencing product teams through the presentation of data-based recommendations
- Communicating the state of business, experiment results, etc. to product teams
- Educating analytics and product teams on best practices
Minimum requirements
- Bachelor’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science or Engineering
- 3+ years of professional experience in Data science jobs (rare exceptions for highly skilled candidates)
- Strong understanding of data mining, data models, segmentation techniques, and database design development
- Ability to structure, analyze, and extract data according to business requirements
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
- Fluency in English to collaborate with engineering managers
- Work full-time (40 hours/week) with a 4-hour overlap with US time zones
Preferred skills
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy
- Applied statistics or experimentation (i.e. A/B testing) in an industry setting
- Expertise in relevant fields of technical writing, including reports, inquiries, and presentations
- Excellent interpersonal and collaborative skills