Data Scientist
Role details
Job location
Tech stack
Requirements
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Bachelor's Degree with at least 2 years' experience in an analytical role as a data scientist, analyst or machine learning engineer. Will consider years' experience in lieu of degree.
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An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
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Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
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Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
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Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
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An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA and Confluence.
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A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams
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Curiosity and attention to detail with regards to data quality, distributions, biases and governance.
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An ability to work effectively within a fast paced and dynamic environment.
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An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.
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Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.
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Experience with Apache Spark
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or other Big Data tools like Apache Flink/MapReduce
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Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks
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Familiar with orchestration tools such as Airflow/DBT/NiFi
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Experience with LLM's and GPT models a plus.
Desired qualifications
- Experience with cloud solution providers such as GCP, AWS and Azure
- Prior experience building robustable and reusable code
- Knowledge of NLP and Image processing
- Prior experience with REST APIs
- An understanding of version control, modularity and maintaining code within a production setting.
- An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)
- Prior experience working with DMPs and CDPs
- Prior consulting experience
Benefits & conditions
Salary is commensurate with experience. Salary range for this requisition is: $75k-$150k annual. Salary is commensurate with experience and aligned with market salary per location, * Generous PTO plus 11 Federal Holidays
- Retirement Planning - 401k Fully Vested with Match
- Annual Health and Wellness Allowance - buy an Apple Watch, a treadmill, or hit the gym on us
- Career Development - Annual Funds to spend on Education and Training
- Volunteer Time Off - Annually, all employees can spend 8 hours directly supporting a charity of choice
- Charitable Match - ABSC matches an employee's donation to a qualifying charity
- Referral Program - We pay for internal and external referrals!
- LOV Awards - Earn bonus awards throughout the year from our Living Our Values awards program