Wayfair Remote Jobs @($25/Hour) (Senior Data Science Analyst) – MySmartPros
Wayfair Remote Jobs @($25/Hour) (Senior Data Science Analyst)
Job Responsibilities: Senior Data Science Analyst, Search & Recommendations
Salary: $25/Hour
Company: Wayfair
Location: Massachusetts, USA
Educational Requirements: Bachelor Degree
Full Job Description:-
We are seeking out a particularly prompted and solution-orientated Senior Data Science Analyst to sign up for our Search and recommendations Analytics crew. The crew leverages Wayfair’s large datasets to tell the roadmap of our pointers. We work in near collaboration with an excessive acting crew of engineers, device-get-to-know engineers/statistics scientists, and product managers who are at the main fringe of the product advice space. Examples of our work are:
Design, run and examine the consequences of A/B exams of the latest advice algorithms and strategies; we additionally increase new trying out and take a look at evaluation methodologies.
KPI reporting and monitoring; This consists of anomaly detection gear and superior size approaches.
Exploratory statistics evaluation (e.g. clustering/segmentation) to generate new insights & tell our product advice roadmap.
Use and increase our in-residence automatic gear; for instance, we've created a QA device to apprehend the overall performance of our new algorithms earlier than A/B trying out them.
What You'll Do
Run open-ended exploratory statistics evaluation to perceive new thoughts and opportunities
Design and run A/B exams of today's pointers algorithms
Proactively screen our advice fashions to perceive capacity issues, decide root causes, and resolve them.
Build new gear that permits us to be extra efficient and efficient
Work carefully and construct efficient relationships with our product, engineering and device getting to know stakeholders.
Communicate key insights and pointers to cross-purposeful government leaders throughout the organization
What You'll Need
1.5+ years of expert experience in an analytical role (further to any graduate education).
Analytics or Data Science reviews with e-trade organizations are a robust plus.
In-intensity experience with SQL (mixture functions, question optimization, saved procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), is required.
In-intensity experience with Python and Python gear (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), is required.
Experience with experimental design (A/B exams) and statistical evaluation to power enterprise selection making, particularly preferred.
Knowledge and experience in the use of device getting-to-know algorithms/techniques (selection trees, random forest, deep getting-to-know, etc.) inside an enterprise context, are particularly preferred.
Strong written and verbal conversation with a crew player, particularly collaborative attitude.
Ability to collaborate and proactively talk with stakeholders.
Proven song report of taking possession and riding consequences. Thrive in a fast-moving environment.
Strong enterprise acumen, analytical skills, and technical capabilities together with problem-fixing skills.
Benefits:
Dental Insurance
Vision Insurance
Health Insurance
Gym Membership and Reimbursement
PTO(Paid Time Off)
Paid Holidays
Paid Maternity and Paternity Leave
401K Retirement Plan
Performance Bonus
Apply Now
Apply Now
Job Responsibilities: Senior Data Science Analyst, Search & Recommendations
Salary: $25/Hour
Company: Wayfair
Location: Massachusetts, USA
Educational Requirements: Bachelor Degree
Full Job Description:-
We are seeking out a particularly prompted and solution-orientated Senior Data Science Analyst to sign up for our Search and recommendations Analytics crew. The crew leverages Wayfair’s large datasets to tell the roadmap of our pointers. We work in near collaboration with an excessive acting crew of engineers, device-get-to-know engineers/statistics scientists, and product managers who are at the main fringe of the product advice space. Examples of our work are:
Design, run and examine the consequences of A/B exams of the latest advice algorithms and strategies; we additionally increase new trying out and take a look at evaluation methodologies.
KPI reporting and monitoring; This consists of anomaly detection gear and superior size approaches.
Exploratory statistics evaluation (e.g. clustering/segmentation) to generate new insights & tell our product advice roadmap.
Use and increase our in-residence automatic gear; for instance, we've created a QA device to apprehend the overall performance of our new algorithms earlier than A/B trying out them.
What You'll Do
Run open-ended exploratory statistics evaluation to perceive new thoughts and opportunities
Design and run A/B exams of today's pointers algorithms
Proactively screen our advice fashions to perceive capacity issues, decide root causes, and resolve them.
Build new gear that permits us to be extra efficient and efficient
Work carefully and construct efficient relationships with our product, engineering and device getting to know stakeholders.
Communicate key insights and pointers to cross-purposeful government leaders throughout the organization
What You'll Need
1.5+ years of expert experience in an analytical role (further to any graduate education).
Analytics or Data Science reviews with e-trade organizations are a robust plus.
In-intensity experience with SQL (mixture functions, question optimization, saved procedures, string parsing, Vertica/Hive/Presto/Spark, etc.), is required.
In-intensity experience with Python and Python gear (Jupyter notebooks, functions, pandas, sklearn, matplotlib, etc.), is required.
Experience with experimental design (A/B exams) and statistical evaluation to power enterprise selection making, particularly preferred.
Knowledge and experience in the use of device getting-to-know algorithms/techniques (selection trees, random forest, deep getting-to-know, etc.) inside an enterprise context, are particularly preferred.
Strong written and verbal conversation with a crew player, particularly collaborative attitude.
Ability to collaborate and proactively talk with stakeholders.
Proven song report of taking possession and riding consequences. Thrive in a fast-moving environment.
Strong enterprise acumen, analytical skills, and technical capabilities together with problem-fixing skills.
Benefits:
Dental Insurance
Vision Insurance
Health Insurance
Gym Membership and Reimbursement
PTO(Paid Time Off)
Paid Holidays
Paid Maternity and Paternity Leave
401K Retirement Plan
Performance Bonus
Apply Now
Apply Now