Full-Time

VP/ Director

Data Science, Supply Chain

Confirmed live in the last 24 hours

blend360

blend360

201-500 employees

Consulting in marketing analytics and data science

Data & Analytics
Consulting

Senior

Remote in USA + 1 more

More locations: Columbia, MD, USA

Remote option available.

Category
Data Science
Supply Chain Management
Operations & Logistics
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Python
Data Science
R
Apache Spark
SQL
AWS
Scala
Hadoop
Data Analysis
Google Analytics
Requirements
  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field
  • At least 5+ years Professional experience in Advanced Supply Chain Data Science
  • Experience with one or more Advanced Data Science software languages (R, Python, Scala, SAS)
  • Proven ability to deploy machine learning models from the research environment (Jupyter Notebooks) to production via procedural or pipeline approaches
  • Experience with SQL and relational databases, query authoring and tuning as well as working familiarity with a variety of databases including Hadoop/Hive
  • 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.
  • Comfortable with cloud-based platforms (AWS, Azure, Google)
  • Experience with Google Analytics, Adobe Analytics, Optimizely a plus
Responsibilities
  • Advance the development of l capability for Data Science within supply chain.
  • Build domain specific knowledge regarding supply chain.
  • Ability to provide ethical and positive leadership that motivates direct reports and develops their talent and skillset while achieving results.
  • Directly manage analyst project work and overall performance, including effective career planning; have difficult conversations and deliver constructive feedback with support from senior management.
  • Interview, hire and train new employees.
  • Analyze team KPIs, develop solutions and alternative methods to achieve goals.
  • Build positive and productive relationships with clients for business growth.
  • Understand client needs and customize existing business processes to meet client needs.
  • Promptly address client concerns and professionally manage requests.
  • Work as a strategic partner with leadership teams to support client needs.
  • 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
  • Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
  • Develop a project plan including milestones, dates, owners, and risks and contingency plans
  • Create and maintain efficient data pipelines, often within clients’ architecture. 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

BLEND360 specializes in consulting services focused on marketing analytics, data science, and marketing technology (MarTech). The company helps businesses improve their marketing strategies by providing insights derived from data analysis. Their services include consulting on marketing analytics, strategy activation, and implementing MarTech solutions, which enable clients to make informed decisions based on performance data. What sets BLEND360 apart from its competitors is their approach of integrating their consultants into the clients' teams and cultures, fostering collaboration and ensuring that they work closely with clients to drive success. The goal of BLEND360 is to help clients achieve measurable results and business growth through optimized marketing performance.

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

N/A

Headquarters

Columbia, Maryland

Founded

N/A

Growth & Insights
Headcount

6 month growth

2%

1 year growth

2%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • The launch of a generative AI suite positions BLEND360 at the forefront of innovation in the data science space.
  • Acquisitions of companies like Montevideo Labs and FutureproofAI expand BLEND360's global footprint and enhance its service offerings.
  • A $100M minority investment from Recognize provides strategic guidance and resources for international expansion.

What critics are saying

  • The competitive landscape in marketing analytics and data science requires BLEND360 to continuously innovate to maintain its edge.
  • Integrating multiple acquisitions could pose challenges in aligning company cultures and technologies.

What makes blend360 unique

  • BLEND360's unique approach of integrating seamlessly with clients' teams and cultures fosters a collaborative environment that drives success, unlike traditional consulting firms.
  • The company's focus on data-driven insights and performance data to optimize marketing strategies sets it apart in the competitive marketing analytics landscape.
  • Recent acquisitions like Montevideo Labs and FutureproofAI enhance BLEND360's global capabilities and expertise in omnichannel decision management solutions.

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