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Company

Original Job Post

myGwork - LGBTQ+ Business Community · 3 days ago

Senior Manager - Data Science

New York, United States

Full-time

Hybrid

Senior Level

$90K/yr - $165K/yr

2+ years exp

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Responsibilities

Strong Analytical Skills: Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; Deliver sophisticated analyses independently; Leverage predictive modeling to identify tactics for optimization and conceptualize opportunities. Develop insights into Sales agent and client behavior and introduce new approaches to transform complex behavioral data into actionable information.

Technical Skills: Have outstanding knowledge of Hive, SQL, and Python encompassing data manipulation and statistical modeling/data-mining techniques. Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus. Range of delivery from measurement packages and business analytics to advanced machine learning models and algorithms.

People Leadership: Lead a high-performing cross-geographical team of data scientists.

Superb Communicator: Ability to drive alignment among customers and key partners; Ability to write compelling messages addressed to various audiences/levels within the organization.

Strategic Mentality: Self-motivated individual who can problem-solve and think critically, to develop concrete insights backed by data and analytics; Find opportunities to strengthen business performance

Results Driven: High level of accountability and ability to address ambiguous challenges; adaptable to evolving priorities and rapid change

Out of the Box Thinking: Challenge status quo, innovate, and harbor strong curiosity. Ability to learn quickly and work independently with sophisticated, unstructured initiatives. Creativity to go beyond current tools to deliver the best solution to the problem, ability and comfort with working independently and making key decisions on projects

Multi-Disciplinary Leadership: Ability to lead multiple and sophisticated work streams, and to work across departmental boundaries and deliver a diverse set of initiatives that result in impactful outcomes

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.

Data miningMachine learningData processingMathematical programmingCoding PythonCoding SQLHadoopSparkAnalytical tools HiveAnalytical tools PySparkAnalytical tools scikit-learnBig Data environmentStatistical toolsMicrosoft Office SuiteBusiness process optimizationProblem-solvingInterpersonal communicationIndependencePrioritizationRelationship buildingQuantitative AnalysisLeadership

Required

2-4 years of relevant work experience

Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Computer Science, Mathematics, Engineering)

Strong working knowledge of analytics, data mining, machine learning techniques, and understanding of data processing. Ability to address performance issues and to manipulate both structured and unstructured data

Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights

Proficient coding experience in Python/SQL, experience with Hadoop and Spark is a plus

Proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.)

Experience in Big Data environment, inclusive of data mining techniques

Strong interpersonal, written, and verbal communication skills

Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)

Proven track record of independently developing novel analytical solutions optimizing business processes

Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills

Ability to deliver results, work independently, and prioritize tasks

Self-starter who thrives in an evolving, dynamic environment

Preferred

Masters/PhDs in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Mathematics, Physics, Operation Research, Engineering and etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques

2+ years’ experience of applying machine learning techniques to real business problems

Experience leading teams – ideally across geographies