As a Data Scientist on our Modeling Team, you will be responsible for creation of powerful machine learning applications that leverage our Social Graph.
Responsibilities:
- Provide technical guidance to a growing team of engineers and data scientists
- Manage and mentor team members to ensure individual growth and fulfillment of long term goals
- Collaborate closely with product management to define and prioritize the technical vision of the product
- Work with complex and varying social and demographic data sets. Apply non-routine graph analysis, machine learning and statistical techniques to synthesize behavioral predictions.
- Develop comprehensive understanding of Applecart graph data structures, products, and metrics. Advocating for changes for achieving long term data science goals.
- Interact cross-functionally with a wide variety of people and teams. Work closely with analysts and data engineers to identify opportunities and assess improvements to Applecart products and deliverables.
- Select and deselect modeling priorities, insights and data based on ability to drive our desired outcomes.
Qualifications:
- PhD or MS degree in Computer Science, Math, Statistics, Physics or other technical field
- 3-5+ years of relevant work experience in data analysis or related field. (e.g., as a statistician / data scientist / computational biologist / bioinformatician)
- 1+ years as a team lead or managerial role
- Practical knowledge of version control and agile development
- Experience with Spark, Scikit Learn, Github, AWS
- Machine Learning Expertise: classic supervised modeling algorithms (e.g. RF, LR, SVM), hyperparameter tuning, feature selection, dimension reduction and evaluation criteria
- Python Expertise: classes & inheritance, map & filter functions, generators, decorators, style guides, pylint, pytest, pdb
- SQL/Hive Expertise: where clauses, joins, group bys, windowing functions, exploding
- Prototyping Expertise: quick to build proofs-of-concept involving data munging, scripting and analysis
- Demonstrated effective written and verbal communication skills
- Enjoy working in a fast-paced environment, highly collaborative and ambitious startup work environment
Prefered Qualifications:
- Additional deep expertise and experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods
- Demonstrated skills in selecting the right statistical tools given a data analysis problem
- Spark Expertise: SparkSQL, Caching, Checkpointing, Dataframes, RDDs
- Coding experience in R, Unix / Bash CLI
- Proficiency in modern ML frameworks (e.g. SparkML, PyTorch, TensorFlow)
- Familiarity with social network analysis, graph theory or machine learning on networks
- Significant interest or experience in politics, advertising technology and/or behavior modeling
by via developer jobs - Stack Overflow
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