Data Scientist

Posted 6 Days Ago
Mountain View, CA
Mid level
Information Technology • Consulting
The Role
The Data Scientist will develop and implement advanced forecasting models, primarily using Python and cloud technologies like Microsoft Azure or AWS. Responsibilities include data analysis, mentoring junior staff, collaborating with teams, and ensuring ethical data use. The role requires strong problem-solving skills and the ability to work independently on complex projects.
Summary Generated by Built In

Job Brief:
We are seeking a highly skilled and experienced Data Scientist to join our dynamic team at VentureDive. The ideal candidate will have over four years of hands-on experience in data science and machine learning, with a strong focus on time series forecasting and modeling what-if scenarios. You will work primarily with Microsoft Azure or AWS technologies, and a background in Consumer-Packaged Goods (CPG) will be highly advantageous.
VentureDive Overview:
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest growing technology company in the region that develops and invests in products and solutions that simplify and improve lives of people world-wide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that are recognized as second to none in the world.

 

Job Brief:

We arE seeking a highly skilled and experienced Data Scientist to join our dynamic team at VentureDive. The ideal candidate will have over four years of hands-on experience in data science and machine learning, with a strong focus on time series forecasting and modeling what-if scenarios. You will work primarily with Microsoft Azure or AWS technologies, and a background in Consumer-Packaged Goods (CPG) will be highly advantageous.
 

KeY Responsibilities:

  • Develop and implement advanced time series forecasting models to predict trends and outcomes.
  • Familiarity with working on LLMs and having good theoretical understanding of Transformers 
  • Utilize Microsoft Azure/AWS Sagemaker for deploying and managing machine learning models.
  • Conduct thorough data analysis/RCA to support business decisions and strategies.
  • Collaborate with cross-functional teams to gather requirements and deliver insights.
  • Mentor junior data scientists and guide on best practices and methodologies.
  • Ensure the ethical use of data in all projects and maintain high standards of data integrity.
  • Work independently on complex projects with minimal supervision, demonstrating strong problem-solving skills.
  • Independently support the business unit across multiple projects where required 
  • Able to develop hypotheses to test models and understand requirements from a business perspective.
  • Research upcoming trends and technologies to improve the department's workings.

Required Qualifications:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Minimum of 4 years of professional experience in data science. Minimum 2 years working on Time Series Modeling
  • Deep understanding of statistics and how ML algorithms work under the hood
  • Extensive experience with time series forecasting and modeling scenarios.
  • Strong programming skills in Python using class and functional code
  • Experience with data visualization tools such as Power BI, Tableau, or similar.
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills and the ability to convey complex findings to non-technical stakeholders.
  • Demonstrated ability to work independently and manage multiple projects simultaneously.
  • Commitment to ethical behavior and maintaining high standards of data privacy and security.
  • Ability to learn new technologies and get hands-on with large language models (LLMs), including understanding LLM architecture such as transformers.

Preferred Qualifications:

  • Experience in the Consumer Packaged Goods (CPG) industry.
  • Hands on experience of fine-tuning open sourced and closed sourced LLMS such as Llama, OpenAI and others
  • Familiarity with big data technologies such as Hadoop or Spark.
  • Proficiency in Microsoft Azure services and tools.


In order to thrive at VentureDive, you
…are intellectually smart and curious
…have the passion for and take pride in your work
…deeply believe in VentureDive’s mission, vision, and values
…have a no-frills attitude
…are a collaborative team player
…are ethical and honest
Are you ready to put your ideas into products and solutions that will be used by millions?
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
#LI-Hybrid

Top Skills

Python
The Company
HQ: Mountain View, California
379 Employees
On-site Workplace
Year Founded: 2012

What We Do

VentureDive is an award-winning digital development company that builds cutting-edge technology solutions to improve lives globally. Since its inception in 2012, the firm has enabled two tech unicorns and successfully driven digital transformation initiatives for large enterprises. Led by co-founders Atif Azim and Shehzaad Nakhoda, VentureDive has a presence in Silicon Valley, London, Portugal, Dubai, and Pakistan. To learn more, visit https://www.venturedive.com.

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