8157467 Senior Data Scientist - New York, NY
Job Information
ID :
#41238965
# of Positions :
1
Minimum Education Level :
Master's Degree
Experience Required :
3+ years
Salary :
$141,170 - $178,000 yearly
Duration :
Full Time Regular
Shift :
First Shift (Day)
Hours per week:
40
Job Description
DUTIES: Develop large-sized machine learning models to surface critical business insights. Deploy large-sized machine learning models in production, collaborating with engineering teams and integrating into processes throughout MongoDB using AWS products, Python, and SQL. Supervise model maintenance for models deployed in production and support escalations cross-functionally across the data science product portfolio by handling communications with multiple affected teams and identifying sources of errors in the code. Does thorough and insightful peer code reviews to ensure quality and security of implementation from other data scientists. Collaborate with data engineering and data architecture teams to design and evaluate new data sets. Work with partner machine learning engineering teams to scope and evaluate new tools to improve the productivity of the Data Science Team. Work with leadership of Data Science Team and stakeholder teams on planning future initiatives. Handle maintenance and improvements of internal experimentation platform as a core code contributor; collaborates on feature design with Analytics and Engineering. Must appear in office 2 days per week; WFH permissible 3 days per week.
Requirements: Master’s degree or foreign degree equivalent in Statistics, Data Science, Mathematics, or related field and three (3) years of experience in Data Science (industry or research) or in the job offered or related role.
Experience and/or education must include:
1. Machine Learning and statistical models, such as propensity modeling using classification models, causal inference, anomaly, changepoint and seasonality detection;
2. Applying SQL and MongoDB query language to query data from internal data warehouses
3. Unit, Integration, End-to-End testing and setting up alerting for deploying models in production using devops tools such as git, drone, PagerDuty, Splunk, Makefile and Python libraries such as pytest or unittest;
4. Deploying and maintenance of 3+ product propensity models using causal inference and uplift modeling in Python;
5. Using anomaly, changepoint and seasonality detection using Python libraries in 3+ projects;
6. Designing and running 3+ online experiments to test machine learning models in collaboration with business stakeholders; and
7. Applying distributed computing tools such as Kubernetes and Ray to deploy machine learning models in production.
OTHER: Job Site: 1633 Broadway 38th floor, New York, NY 10019; Must appear in office 2 days per week; WFH permissible 3 days per week.; $141,170/year - $178,000/year. If offered employment, the applicant must have legal right to work in U.S. EOE.
CONTACT: Please email resume to immigration@mongodb.com and reference Job ID# 8157467
Requirements: Master’s degree or foreign degree equivalent in Statistics, Data Science, Mathematics, or related field and three (3) years of experience in Data Science (industry or research) or in the job offered or related role.
Experience and/or education must include:
1. Machine Learning and statistical models, such as propensity modeling using classification models, causal inference, anomaly, changepoint and seasonality detection;
2. Applying SQL and MongoDB query language to query data from internal data warehouses
3. Unit, Integration, End-to-End testing and setting up alerting for deploying models in production using devops tools such as git, drone, PagerDuty, Splunk, Makefile and Python libraries such as pytest or unittest;
4. Deploying and maintenance of 3+ product propensity models using causal inference and uplift modeling in Python;
5. Using anomaly, changepoint and seasonality detection using Python libraries in 3+ projects;
6. Designing and running 3+ online experiments to test machine learning models in collaboration with business stakeholders; and
7. Applying distributed computing tools such as Kubernetes and Ray to deploy machine learning models in production.
OTHER: Job Site: 1633 Broadway 38th floor, New York, NY 10019; Must appear in office 2 days per week; WFH permissible 3 days per week.; $141,170/year - $178,000/year. If offered employment, the applicant must have legal right to work in U.S. EOE.
CONTACT: Please email resume to immigration@mongodb.com and reference Job ID# 8157467
Company Information
Name :
MongoDB, Inc.
Description :
MongoDB is the leading NoSQL database, empowering businesses to be more agile and scalable. Fortune 500 companies and startups alike are using MongoDB to create new types of applications, improve customer experience, accelerate time to market and reduce costs.
Type :
Direct Employer
Address :
1633 Broadway
38th Floor
New York, NY 10019
38th Floor
New York, NY 10019
Application Information
Instructions :
CONTACT: Please email resume to immigration@mongodb.com and reference Job ID# 8157467
Email :
Job Posting Entered On :
2/20/2025
Job Posting Expires On :
3/26/2025
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