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Full-Time

AI Data Scientist Associate Director

Confirmed live in the last 24 hours

blend360

blend360

201-500 employees

Consulting in marketing analytics and data science

Consulting
Data & Analytics

Senior

Remote in USA + 1 more

More locations: Columbia, MD, USA

Category
Data Management
Data Science
Data Engineering
Data & Analytics
Required Skills
Microsoft Azure
Python
Jupyter
Data Science
R
Data Structures & Algorithms
Apache Spark
SQL
AWS
Apache Hive
Hadoop
Data Analysis
Google Analytics
Requirements
  • Consulting Experience
  • Proven ability to lead a team
  • Profound knowledge of deep learning principles and architectures, including CNNs, RNNs, and transformers, with the ability to apply these techniques to natural language processing tasks.
  • Deployment experience - Understanding of how to integrate models into production
  • Engineering experience
  • In-depth understanding of the workings of LLMs and the ability to manipulate model parameters to achieve desired outcomes in text generation.
  • Expertise in crafting effective prompts that guide AI models to generate desired outputs. Understand how different prompt structures influence AI behavior.
  • Experience with RAG models, which combine a retrieval component with a generator to enhance the quality and relevance of the AI's output. Understand how to effectively integrate external knowledge sources into AI responses.
  • Capability to train and fine-tune models on specific datasets to improve performance and ensure the relevance of the outputs to the task at hand.
  • MS degree in Statistics, Math, Data Analytics, or a related quantitative field
  • At least 5 years of post graduate professional experience in Advanced Data Science, such as predictive modeling, statistical analysis, machine learning, text mining, geospatial analytics, time series forecasting, optimization
  • Demonstrated Experience with NLP and other components of AI
  • Experience implementing AI solutions
  • Experience with one or more Advanced Data Science software languages (Python, R, 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
  • Lead a Team of Data Scientists providing AI Data Science Solutions to our clients
  • You will work as part of our global Data Science team to provide data driven AI solutions for our customers using state-of-the-art methods and tools.
  • Work with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints
  • Work with practice leaders to get stakeholder feedback, get alignment on approaches, deliverables, and roadmaps
  • 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
  • Utilize deep learning principles and architectures, including CNNs, RNNs, and transformers, apply these techniques to natural language processing tasks.
  • Manipulate model parameters to achieve desired outcomes in text generation.
  • Craft effective prompts that guide AI models to generate desired outputs. Understand how different prompt structures influence AI behavior.
  • Use RAG models, and combine a retrieval component with a generator to enhance the quality and relevance of the AI's output. Understand how to effectively integrate external knowledge sources into AI responses.
  • Train and fine-tune models on specific datasets to improve performance and ensure the relevance of the outputs to the task at hand.
  • Conduct statistical data analysis, including exploratory data analysis, data mining, and document key insights and findings toward decision making
  • 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 its approach of integrating its 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 enhance marketing performance for its clients, leading to measurable results and business growth.

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

N/A

Headquarters

Columbia, Maryland

Founded

N/A

Growth & Insights
Headcount

6 month growth

5%

1 year growth

5%

2 year growth

5%
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.