Data Scientist

Posted 2 Days Ago
San Francisco, CA
80K-100K Annually
Entry level
Marketing Tech • Business Intelligence
The Role
As a Data Scientist, you will develop machine learning algorithms, support client modeling needs, mine consumer datasets, conduct statistical analyses, and communicate results to stakeholders. You will also be involved in predictive modeling and innovation to enhance the company’s analytical capabilities.
Summary Generated by Built In

FocusKPI is seeking smart, curious, technically savvy, and experienced candidates to join our cutting-edge internal data science team. The data science team at FocusKPI builds models and machine learning algorithms that power all our clients' ad-tech/mar-tech products at scale, develops methodology and tools to precisely and effectively measure market campaign effects, and research in-house and public data sources for consumer spending behavior insights.
In this role, you'll spearhead the company's advanced predictive modeling and analytical innovation to bring the analytical capability to the next level. In addition, you'll be expected to play an essential role in carrying out the R&D agenda and in product deliveries for different businesses on time and quality.
Work Location: Remote - anywhere in the US
Duration: 6 months contract 
Pay Range: $80k to $100k/annum
Responsibilities:

  • Support clients' modeling needs, including maintenance, enhancing existing measurement and targeting solutions, and ensuring timely and high-quality delivery.
  • Developing innovative and automated solutions for custom needs leveraging appropriate AI/ML/statistical tools.
  • Mine large consumer datasets in the cloud environment to support ad hoc business and statistical analysis.
  • Provide analytical/statistical support for marketing test design, campaign measurement, and market insights to clients and stakeholders.
  • Communicate the methodologies and the results to the management, clients, and other non-technical stakeholders.

Qualifications:

  • Advanced degree in Computer Science/Statistics/Mathematics/ Economics or other fields require advanced data modeling and analytics training.
  • Deep understanding and solid knowledge of the fundamentals of statistical reasoning and ML models.
  • Experience with causal inference, marketing mix models, and multi-touch attribution models is highly valued.
  • An added advantage is familiarity with deep learning, natural language processing (NLP), computer vision, and generative AI.
  • Skilled in conceptualizing complex business problems and designing practical, effective modeling and analytical solutions to address them.
  • Proficiency in common programming languages such as Python and SQL.
  • Experienced and comfortable working with standard big data tools, including cloud platforms, database technologies, and parallel processing frameworks.
  • Entrepreneurial, highly self-motivated, collaborative, keen attention to detail, willing and capable to learn quickly, and effectively prioritize and execute tasks in a demanding environment.
  • Great communication skills (verbal, written, and presentation).

 

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

Top Skills

Python
SQL
The Company
HQ: Santa Clara, CA
31 Employees
On-site Workplace
Year Founded: 2010

What We Do

FocusKPI brings deep domain experience in business and marketing analytics to enable our clients to unlock growth-driving insights from data. We help our clients develop action-oriented analytics and data science products that are customized to company-specific needs and integrated into their platforms for ongoing use. Our Accelerators, a toolbox of frameworks and models built over 10+ years, fast-track projects by capitalizing on our experience.

Capabilities:
Predictive Analytics
AI / Machine Learning
Measurement
Text Analysis

Key Industries Served:
Retail Media
B2B & B2C Sales, Marketing, and Merchandising
Software & Applications

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