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Company

Original Job Post

myGwork - LGBTQ+ Business Community · 6 days ago

Senior Data Scientist

Fort Lee, NJ

Full-time

Onsite

Senior Level

5+ years exp

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Responsibilities

Seek new and improved ways for us to use data in our products, operations, and business strategies.

Collate and curate data from various stages of the sales funnel to create high quality datasets for analysis and modeling.

Own and manage projects from start to finish –this includes understanding our business, scoping the problem statement, defining the data requirements, building out models, and presenting to stakeholders.

Align data science projects with organizational goals while leading change across the company to adopt data science products/models.

Champion a culture of innovation and creativity within the data science team and the company.

Design and execute data products in marketing, business operations, and customer retention spaces with a customer-centric focus.

Advise partners as a subject matter expert on all things data.

Collaborate with data engineers to ensure data quality, integrity & usability.

Help build out the data science team while mentoring junior data science team members.

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 sciencePredictive algorithmsMachine learningDeep learningXGBoostRandom forestsLogistic regressionSVMKNNK-means clusteringPCANeural networkDeep reinforcement learningPySparkPythonSQLExcelData visualization toolsTableauPower BIBig data platformsAWSGCPAzureDatabricksDistributed computing frameworksEnd-to-end data science processesStakeholder managementProject managementCollaborative

Required

5+ years of experience in a data science role, building predictive algorithms and data

A collaborative team player who can work with fellow data scientists and cross functional partners (ML Ops engineers, business/account teams, marketers, subject matter experts)

Ability to scope, ideate, spearhead, execute and manage projects from problem definition to stakeholder management to deliver tested data-driven solutions

Demonstrated experience and track record with end-to-end data science processes (not only specific stages of the ML lifecycle)

Excellent understanding of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.)

Ability to communicate findings and complex concepts clearly to a non-technical audience

Proficiency with PySpark, Python, SQL, Excel, and data visualization tools (Tableau, Power BI, etc.)

Experience with big data platforms (AWS, GCP, Azure, Databricks) and distributed computing frameworks

Relentlessly curious – always asking questions and challenging the status quo

Obsession with process improvement and efficiency

Business-oriented mindset that can balance the need for timely results against striving for perfection

A lifelong scholar that is excited to learn new data science technologies

Objective with the data by demonstrating ability to cut through noise and tell a compelling story with data that impacts and drives business decision making

Strong organizational, project management and problem-solving skills

Entrepreneurial in nature with an ability to think outside the box

BS/MS in a quantitative field (Computer Science, Engineering, Mathematics, Statistics, or other STEM disciplines)