Data Scientist
The Opportunity In an effort to better serve our 47 million registered hourly workers and over 450,000 employer locations, Snagajob is looking for a Data Scientist to collaborate with key business stakeholders throughout the organization and help fulfill our mission of helping people find their best fit job.
The Data Science role at Snagajob includes a heavy emphasis on search, information retrieval, matching, and recommendation, as well as experimental design and measurement of data science impact in the customer-facing product.
This role provides an excellent opportunity to make a direct impact in a customer facing product.
Our tech stack includes Python (pandas, numpy, sklearn, pytorch, flask), AWS (EC2/ECS, S3, EMR, Sagemaker), Elasticsearch, Mongo, CircleCi, Docker, Terraform, and other technologies.
You might not have experience in every area but if you have a drive to learn and grow, we encourage you to apply.
This role may be based remotely or in our Arlington or Richmond, VA or Charleston, SC office.
What Snagajob Can Promise You When you join the Snagajob Engineering team, you''ll be working on a high-volume, high-traffic site that gets over 50 million visits a month! But that''s just the start of it.
You get to contribute more than just code; we have a highly collaborative environment, so you''ll influence what we build and how we build it.
Expand your skills with our weekly tech talks.
Learn about, and experiment with, new technologies/ideas in our monthly hack days and chapter meetings.
Engineering at Snagajob isn''t just about keeping the lights on and the site running.
It''s a place for you to learn and grow in a supportive team environment.
What You''ll Get to Do Develop new data science models and pipelines that are highly available, scalable, and reliable Collaborate with data scientists, developers, and product managers to integrate and validate machine learning solutions end to end Partner with product teams to analyze key business problems Support and improve existing data science pipelines and systems in production Test and implement algorithms in scalable, product-ready code Research and investigate academic and industrial machine learning, natural language processing and modeling techniques to apply to our specific business cases What You''ll Bring Advanced degree in computer science or a closely related field, with a concentration in machine learning, or equivalent experience Experience in advanced analytics and Applied Machine Learning Experience building and deploying models using common machine learning frameworks such as scikit-learn, PyTorch Experience working with relational and/or NoSQL data stores Familiarity working in Linux-based systems and/or cloud computing resources Experience in knowledge graphs and/or recommendation systems Ability to work with ambiguous problem definitions Ability to communicate technical knowledge to a business audience The ability to live by Snagajob''s core values - solidarity, candor, unconvention, fire - by being an ally, speaking hard truths, questioning the status quo, and always doing whatever it takes to meet our mission of putting people in the right-fit positions so they can maximize their potential and live more fulfilling lives Bonus Points Experience with A/B testing and analysis of engagement with online marketplaces Experience working with search and information retrieval systems such as SolR/Elasticsearch, as well as experience with information retrieval success metrics At Snagajob, we celebrate our differences in an inclusive workplace designed to support the things that make us individuals.
Snagajob is proud to be an equal opportunity employer and we strongly encourage candidates from all different backgrounds and identities to apply.
Each new hire gives us the opportunity to bring in a fresh new perspective to further diversify our company for the benefit of our employees, products and our community.
Why Snagajob Snagajob offers a highly competitive compensation and benefits package including medical, dental, vision, life insurance, a 401k plan, health and fitness incentives, PTO, paid community service time, and a casual fun work environment with an award-winning culture.
What Snaggers love most is our commitment to work-life blend and the amazing leaders who are dedicated to helping their teams grow personally and professionally.
Snagajob promotes a culture of community and support, so once a Snagger, always a Snagger.
We pride ourselves on keeping it real and not being afraid to challenge the status quo.
About Snagajob Snagajob, the country''s largest and fastest-growing platform for hourly work, connects more than 47 million active job seekers with employment opportunities at 450,000 employer locations in the US and Canada.
Snagajob''s mission is to put people in the right fit positions so they can maximize their potential and live more fulfilling lives.
Through Snagajob, workers gain the flexibility of working when and where they choose while employers are assured every shift stays filled.
For more information, visit www.
Snagajob.
com or connect with us on LinkedIn, Instagram, Facebook and Twitter.
by Jobble.
Estimated Salary: $20 to $28 per hour based on qualifications.
The Data Science role at Snagajob includes a heavy emphasis on search, information retrieval, matching, and recommendation, as well as experimental design and measurement of data science impact in the customer-facing product.
This role provides an excellent opportunity to make a direct impact in a customer facing product.
Our tech stack includes Python (pandas, numpy, sklearn, pytorch, flask), AWS (EC2/ECS, S3, EMR, Sagemaker), Elasticsearch, Mongo, CircleCi, Docker, Terraform, and other technologies.
You might not have experience in every area but if you have a drive to learn and grow, we encourage you to apply.
This role may be based remotely or in our Arlington or Richmond, VA or Charleston, SC office.
What Snagajob Can Promise You When you join the Snagajob Engineering team, you''ll be working on a high-volume, high-traffic site that gets over 50 million visits a month! But that''s just the start of it.
You get to contribute more than just code; we have a highly collaborative environment, so you''ll influence what we build and how we build it.
Expand your skills with our weekly tech talks.
Learn about, and experiment with, new technologies/ideas in our monthly hack days and chapter meetings.
Engineering at Snagajob isn''t just about keeping the lights on and the site running.
It''s a place for you to learn and grow in a supportive team environment.
What You''ll Get to Do Develop new data science models and pipelines that are highly available, scalable, and reliable Collaborate with data scientists, developers, and product managers to integrate and validate machine learning solutions end to end Partner with product teams to analyze key business problems Support and improve existing data science pipelines and systems in production Test and implement algorithms in scalable, product-ready code Research and investigate academic and industrial machine learning, natural language processing and modeling techniques to apply to our specific business cases What You''ll Bring Advanced degree in computer science or a closely related field, with a concentration in machine learning, or equivalent experience Experience in advanced analytics and Applied Machine Learning Experience building and deploying models using common machine learning frameworks such as scikit-learn, PyTorch Experience working with relational and/or NoSQL data stores Familiarity working in Linux-based systems and/or cloud computing resources Experience in knowledge graphs and/or recommendation systems Ability to work with ambiguous problem definitions Ability to communicate technical knowledge to a business audience The ability to live by Snagajob''s core values - solidarity, candor, unconvention, fire - by being an ally, speaking hard truths, questioning the status quo, and always doing whatever it takes to meet our mission of putting people in the right-fit positions so they can maximize their potential and live more fulfilling lives Bonus Points Experience with A/B testing and analysis of engagement with online marketplaces Experience working with search and information retrieval systems such as SolR/Elasticsearch, as well as experience with information retrieval success metrics At Snagajob, we celebrate our differences in an inclusive workplace designed to support the things that make us individuals.
Snagajob is proud to be an equal opportunity employer and we strongly encourage candidates from all different backgrounds and identities to apply.
Each new hire gives us the opportunity to bring in a fresh new perspective to further diversify our company for the benefit of our employees, products and our community.
Why Snagajob Snagajob offers a highly competitive compensation and benefits package including medical, dental, vision, life insurance, a 401k plan, health and fitness incentives, PTO, paid community service time, and a casual fun work environment with an award-winning culture.
What Snaggers love most is our commitment to work-life blend and the amazing leaders who are dedicated to helping their teams grow personally and professionally.
Snagajob promotes a culture of community and support, so once a Snagger, always a Snagger.
We pride ourselves on keeping it real and not being afraid to challenge the status quo.
About Snagajob Snagajob, the country''s largest and fastest-growing platform for hourly work, connects more than 47 million active job seekers with employment opportunities at 450,000 employer locations in the US and Canada.
Snagajob''s mission is to put people in the right fit positions so they can maximize their potential and live more fulfilling lives.
Through Snagajob, workers gain the flexibility of working when and where they choose while employers are assured every shift stays filled.
For more information, visit www.
Snagajob.
com or connect with us on LinkedIn, Instagram, Facebook and Twitter.
by Jobble.
Estimated Salary: $20 to $28 per hour based on qualifications.
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