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Sigmoid

Real-time ad analytics and bid optimization

Director Data Science

Data ScienceConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • A B-Tech, M-Tech, or MBA from a top-tier institute, preferably in a quantitative subject.
  • At least 15 years of overall experience, including at least 12 years of hands-on experience in applied machine learning, AI, and analytics.
  • Experience with scientific programming using scripting languages such as Python and R; SQL and NoSQL; Spark; machine-learning tools; and cloud technologies such as AWS, Azure, or GCP.
  • Experience with Python libraries including NumPy, pandas, scikit-learn, TensorFlow, Scrapy, and BERT.
  • Strong knowledge of machine learning, deep learning, data mining, and statistical concepts, with experience developing models and solutions in these areas.
  • Expertise in client engagement, understanding complex problem statements, and offering solutions in domains such as supply chain, manufacturing, CPG, and marketing.

Responsibilities

  • Convert broad visions and concepts into a structured data science roadmap and guide a team in executing it.
  • Handle end-to-end client AI and analytics programs in a fluid environment, combining hands-on contributions, technical team management, and client interaction.
  • Discover solutions in large datasets and drive business results using data-based insights.
  • Contribute to internal product development initiatives related to data science.
  • Manage project delivery for complex projects, including effort and time estimation.
  • Take ownership of engagements and build scalable client-engagement processes to improve turnaround time and accuracy.
  • Define technology strategy and roadmaps for client accounts, and guide implementation within projects.
  • Manage team members to ensure adherence to project plans.
  • Build trusted-advisor relationships with client IT management and internal account leadership.

Desired Qualifications

  • Deep understanding of machine-learning algorithms for common use cases in structured and unstructured data ecosystems.
  • Comfort with large-scale data processing and distributed computing.
  • Provide input to sales and presales activities.

About the Company

Sigmoid

Real-time ad analytics and bid optimization

Sigmoid analyzes real-time ad bid and auction data to optimize advertising spend and revenue. The platform, SigView, processes billions of ad impressions in real time to deliver business intelligence, sales forecasting, trend analysis, and bid optimization for both buy-side players (buyers, DSPs, ad networks) and sell-side players (SSPs, ad exchanges). It is subscription-based, granting clients instant access to bid and auction data for ad hoc exploration and informed decision-making. Compared with competitors, Sigmoid combines real-time, large-scale data analytics across both sides of the market and provides a unified view for optimizing campaigns and revenue, rather than offering a single-side solution.

Company size
1,001-5,000
Company stage
Series B
Total funding
$12M
Headquarters
Jersey City, NJ
Founded
2013

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