Sigmoid

Real-time ad analytics and bid optimization

Lead Data Scientist

Data ScienceConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

At least 8 years of work experience.
Experience programming in Python, R, SQL, NoSQL, and Spark, and working with machine-learning tools and cloud technology including AWS, Azure, and GCP.
Experience with Python libraries including NumPy, pandas, scikit-learn, TensorFlow, Scapy, Scrapy, and BERT.
Understanding of statistics and ability to design statistical hypothesis tests to support formal decision-making.
Ability to develop predictive models using machine-learning algorithms including support vector machines, random forests, neural networks, decision trees, logistic regression, K-means clustering, linear regression, and principal component analysis.
Ability to engage with clients, understand complex problem statements, and offer solutions across retail, pharmaceutical, banking, and insurance domains.
Ability to discover solutions in large datasets and use data-based insights to drive business results.
Ability to manage projects, including effort and time estimation, to deliver complex projects.
Ability to take full ownership of engagements and build scalable client-engagement processes that improve turnaround time and accuracy.
Ability to define technology strategy and roadmaps for client accounts and guide their implementation within projects.
Ability to build trusted-advisor relationships with client IT management and internal account leadership.
Ability to build business cases for technology investments to meet future needs and maintain competitiveness.

Responsibilities

Contribute hands-on to client AI and analytics programs, internal data-science product development, technical team management, and client interactions.
Develop data-science roadmaps and guide data scientists in meeting deliverables.
Lead end-to-end client AI and analytics programs.
Run regular project reviews and audits to ensure projects follow guardrails agreed upon by stakeholders.
Manage team members to ensure adherence to project plans.
Manage client stakeholders and expectations through weekly meetings and status updates.
Ensure team-member billing and utilization are maximized throughout the year.

Desired Qualifications

Experience designing data-science solutions to business problems.
Deep understanding of machine-learning algorithms for common use cases involving structured and unstructured data.
Comfort with large-scale data processing and distributed computing.
Ability to allocate workloads among team members while considering employee availability, skill sets, and current workload.
Ability to provide input to sales and presales activities.
Excellent written and verbal communication skills.

Work Experience: 8+ years

Mandate Skills:

Experience in Programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)
Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
Contribute to internal product development initiatives related to data science.
Develop data science roadmap, and guide data scientist to meet their deliverables.
Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
Drive excellent project management required to deliver complex projects, including effort/time estimation.
Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy
Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
Build business case for technological investments to be made for future needs and to remain competitive
Ensure that billing and utilization of team members is maximized throughout the year

Desired Skills:

Experience designing data science solutions to business problems
Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
Comfortable with large scale data processing and distributed computing
Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
Providing required inputs to sales, and pre-sales activities
Excellent written and verbal communication skills

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

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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