Job Title: Data Scientist
Location: Seattle, WA
Duration: 12+ months
Job Description
• 3+ years experience with a proven track record of leveraging data to drive business impact.
• Degree in Computer Science, Mathematics, or related field.
• Expertise with common languages Python, R, Scala, Java and a proven ability to learn new programming languages
• Expertise with Hadoop, Spark and related big data tools
• Proficiency with DevOps using Docker, Kubernetes, Jenkins etc.
• Experience with event messaging frameworks like Apache Kafka
• Familiarity with ML models and frameworks (TensorFlow, Keras, Scikit-Learn, Gensim etc.), implementing and optimizing them in large scale AWS platforms
Preferred Qualifications
• Advanced degrees are a plus.
• Strong data visualizations skills to convey information and results clearly
• Experience with statistical analysis tools using R or Python.
• Ability to work independently and drive your own projects.
• Exceptional interpersonal and communication skills.
• Impactful presentation skills in front of a large and diverse audience.
• Innate curiosity about consumer behavior and technology
• A fan of movies and television is a strong plus.
• Ability to take a project or proof of concept through the full solution life-cycle: hypothesis testing, data wrangling, modeling, conclusion and handoff to engineering teams to implement into production.
• Experience with probabilistic thinking and programming is a plus.
This role is a mixed role- we either need a math person who is good in engineering or an engineering person who is good in mathematics- We are looking for someone who has”a leg on each side of the fence”
This is a data team that is heavily math focused- they work with an engineering team who supports them along with the data science org.
Will be working on machine learning (ML) models the data scientists use utilizing multiple mathematical methods developing models.- Will need to try multiple models to see what works best and what is designed to be easiest to use- you could have many implementations to use and 24 hrs of processing to train model- Idea is to take that model build it to run faster and more efficient. In addition weekly will be analyzing processing jobs and the duration it consumes for time and money to help figure out how to make both more efficient.
Must have skills:
1. Formal training in Mathematics- must have either a CS degree or Math degree. If you have a CS degree you must have math depth- where are you getting your mathematics from. If you have a math degree, you will need to have CS depth- where is that coming from
2,Experience in Cloud- we use AWS- but Google/Azure is ok- working in cloud environment is very different than working onprem
3. Experience/expert- Hadoop, Spark and big data tools
4. Containerization- docker/kubernetes- this is a a nice to have if you have #3
Scikit Learn
Tensorflow
Apache Kafka
Gensim
Docker
Location: Seattle, WA
Duration: 12+ months
Job Description
• 3+ years experience with a proven track record of leveraging data to drive business impact.
• Degree in Computer Science, Mathematics, or related field.
• Expertise with common languages Python, R, Scala, Java and a proven ability to learn new programming languages
• Expertise with Hadoop, Spark and related big data tools
• Proficiency with DevOps using Docker, Kubernetes, Jenkins etc.
• Experience with event messaging frameworks like Apache Kafka
• Familiarity with ML models and frameworks (TensorFlow, Keras, Scikit-Learn, Gensim etc.), implementing and optimizing them in large scale AWS platforms
Preferred Qualifications
• Advanced degrees are a plus.
• Strong data visualizations skills to convey information and results clearly
• Experience with statistical analysis tools using R or Python.
• Ability to work independently and drive your own projects.
• Exceptional interpersonal and communication skills.
• Impactful presentation skills in front of a large and diverse audience.
• Innate curiosity about consumer behavior and technology
• A fan of movies and television is a strong plus.
• Ability to take a project or proof of concept through the full solution life-cycle: hypothesis testing, data wrangling, modeling, conclusion and handoff to engineering teams to implement into production.
• Experience with probabilistic thinking and programming is a plus.
This role is a mixed role- we either need a math person who is good in engineering or an engineering person who is good in mathematics- We are looking for someone who has”a leg on each side of the fence”
This is a data team that is heavily math focused- they work with an engineering team who supports them along with the data science org.
Will be working on machine learning (ML) models the data scientists use utilizing multiple mathematical methods developing models.- Will need to try multiple models to see what works best and what is designed to be easiest to use- you could have many implementations to use and 24 hrs of processing to train model- Idea is to take that model build it to run faster and more efficient. In addition weekly will be analyzing processing jobs and the duration it consumes for time and money to help figure out how to make both more efficient.
Must have skills:
1. Formal training in Mathematics- must have either a CS degree or Math degree. If you have a CS degree you must have math depth- where are you getting your mathematics from. If you have a math degree, you will need to have CS depth- where is that coming from
2,Experience in Cloud- we use AWS- but Google/Azure is ok- working in cloud environment is very different than working onprem
3. Experience/expert- Hadoop, Spark and big data tools
4. Containerization- docker/kubernetes- this is a a nice to have if you have #3
Recommended Skills
Data ScienceScikit Learn
Tensorflow
Apache Kafka
Gensim
Docker