myGwork - LGBTQ+ Business Community · 2 days ago

Senior Manager, Data Science

New York, NY

Full-time

Onsite

Senior Level

$117K/yr - $196K/yr

7+ years exp

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Responsibilities

Take deep dives in large-scale data to identify key insights for future product/brand strategy.

Collaborate with cross-functional teams to identify growth opportunities and develop data products.

Design, deploy, and evaluate experiments for higher adoption and improved business performance.

Conduct hypothesis-driven exploratory analyses, select appropriate ML algorithms, and build optimization engines.

Research new technologies and methods to improve technical capabilities.

Communicate insights to senior management by distilling complex analysis into business-focused takeaways.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonScalaJavaRData scienceMachine learningStatisticsBayesianHypothesis testingANOVARegressionBig dataHadoopSparkClickstream dataData visualizationDashTableauAngularCommunicationProblem-solvingApplied EconometricsData MiningMathematicsOperations ResearchIndustrial Engineering

Required

Bachelor's degree with 7+ years of experience OR Masters Degree with 6+ years of experience OR PhD with 2+ years of experience

Degree preferably in engineering, economics, statistics, computer science, or related quantitative field

Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks

Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, Java, or R

Practical experience with and theoretical understanding of ML algorithms for classification, regression, clustering, and anomaly detection

Well versed with and have experience applying various statistical methodologies including Bayesian and non-parametric techniques, hypothesis testing, ANOVA, Regression, fixed and random effects etc. to measure the impact of experiments

Hands on experience working in big data environments such as Hadoop, Spark, and using Python / SQL or comparable languages for manipulating and analyzing complex clickstream and or unstructured data

Ability to extract significant business insights from data and identify the roots behind the patterns

Experience working with a data visualization tool/package, including Dash, Tableau, and Angular etc

Communication skills for communicating complex quantitative analyses to senior business executives

Preferred

Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred