48 applicants

Company

Original Job Post

Blend · 2 days ago

Lead Data Scientist

Columbia, SC

Full-time

Onsite

Senior Level

2+ years exp

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Responsibilities

Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints

Problem-solve with practice leaders to translate the business problem into a workable Data Science solution; propose different approaches and their pros and cons

Develop a project plan including milestones, dates, owners, and risks and contingency plans

QA MMM input and output data sets. Translate datasets from human generated XLS to formats for MMM input. Translate MMM output to human readable outputs such as XLS and ppt.

QA data. Answer MMM questions from the marketing, category, channel, and merchandizing teams with the help of the Neustar MMM data scientists.

Typically, data are from a wide variety of sources, internal and external, and manipulated using SQL, spark, and Cloud big data technologies

Assemble large, complex data sets from client and external sources that meet functional business requirements.

Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Perform data cleaning/hygiene, data QC, and integrate data from both client internal and external data sources on Advanced Data Science Platform. Be able to summarize and describe data and data issues

Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making

Train, validate, and cross-validate predictive models and machine learning algorithms using state of the art Data Science techniques and tools

Document predictive models/machine learning results that can be incorporated into client-deliverable documentation

Assist client to deploy models and algorithms within their own architecture

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.

StatisticsData AnalyticsPredictive ModelingStatistical AnalysisMachine LearningText MiningGeospatial AnalyticsTime Series ForecastingOptimizationMMM InputOutput FormatsMMMSQLPythonExcelDeploying Machine Learning ModelsJupyter NotebooksProduction DeploymentInterpreting MMM OutputPSTSparkData FramesPySparkScalaData VisualizationProblem-SolvingCommunicationTime ManagementCloud PlatformsGoogle Analytics

Required

MS degree in Statistics, Math, Data Analytics, or a related quantitative field

2+ years post grad professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization

Strong Communication Skills and the ability to work under tight deadlines

Sufficient high-level knowledge of MMM input and output formats and how MMM works

Strong SQL, Python and Excel skills

Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches

Strong SQL, Python and Excel

Ability to interpret MMM output

Ability to work in PST

Experience with spark and data-frames in PySpark or Scala

Strong problem-solving skills; ability to pivot complex data to answer business questions. Proven ability to visualize data for influencing

Preferred

Comfortable with cloud-based platforms (AWS, Azure, Google)

Experience with Google Analytics, Adobe Analytics, Optimizely

Company

Blend

Glassdoor

4.3

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.

Founded in 2015

Columbia, Maryland, USA

501-1,000 employees

https://blend360.com/

H1B Sponsorship

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2020 (1)