The below role is for our Bengaluru office. 

Director – Data Science 

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo 
• Vibrant inclusive culture of mutual respect and fun through both work and play

Roles and Responsibilities: 

• Convert broad vision and concepts into a structured data science roadmap, and guide a  team to successfully execute on it. 
• Handling end-to-end client AI & analytics programs in a fluid environment. 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 
• Contribute to internal product development initiatives related to data science.
• 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 
• Manage the team-members, to ensure that the project plan is being adhered to over the  course of the project 
• Build a trusted advisor relationship with the IT management at clients and internal accounts  leadership. 

Mandated Skills: 

• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
• 15+ overall experience with 12+ years of hands-on experience in applied Machine Learning, AI and analytics
• Experience of scientific programming in scripting languages like 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, scrapy, BERT etc.
• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas
• Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. 

Desired Skills: 

• 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 
• Providing required inputs to sales, and pre-sales activities 
• A self-starter who can work well with minimal guidance
• Excellent written and verbal communication skills

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there.

Our culture is modelled around expertise and mutual respect with a team first mindset. Youʼll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office.

About the Role:

You will work on a broad range of cutting-edge deep learning and Gen AI problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using deep learning and Gen AI, we would like to talk to you.

Role: Gen AI Presales Leader

Key Responsibilities:

• Build and deliver customized GenAI demos (PoCs, proposals) that use client-relevant data or scenarios leveraging multi-modal GenAI (text, image, tabular data)
• Collaborate with sales and practice teams to understand client needs and design relevant , scalable proof-of-concepts.
• Conduct deep-dive discovery sessions to identify and translate business objectives into AI solution opportunities, avoiding “tech-first”
• Build reusable demo assets and frameworks to accelerate future demo
• Incorporate real-world datasets and scenarios for maximum client
• Track demo impact on deal progression and refine offerings
• Track competitor solutions and create battlecards to position offerings
• Bring feedback from prospects into product roadmaps for stronger market
• Provide input on proposal writing, RFP/RFI responses with industry specific Gen AI case
• Stay updated on GenAI trends (e.g., retail media networks, synthetic consumer research).

Desired Experience & Education:

• 12+ years of experience in Data Science, with proven pre-sales
• Strong technical expertise in ML, NLP, GenAI, and data
• Experience designing end- to- end data science/ AI solutions for business problems
• Excellent storytelling skills to translate technical capabilities into business
• Familiarity with multiple domains (e.g., CPG, pharma, BFSI)
• Excellent written and verbal communication skills
• Familiarity working with international stakeholders in a consultative environment
• Knowledge of working with cloud platform (Azure / AWS)
• Knowledge of Software Engineering practices

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office.

About the Role:

You will work on a broad range of cutting-edge deep learning and Gen AI problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using deep learning and Gen AI , we would like to talk to you

Role: Gen AI CoE Leader

Key Responsibilities:

• Identify emerging GenAI technologies and evaluate their business
• Establish best practices, governance, and responsible AI guidelines for GenAI
• Monitor emerging GenAI trends, tools, and
• Run innovation sprints to test applicability of cutting-edge GenAI
• Build reusable artifacts for common GenAI approaches
• Design end-to-end GenAI architectures to standardize
• Work closely with:
  • Pre-sales teams to validate feasibility of proposed
  • Demo teams to ensure realistic and impactful AI capabilities in client
  • Delivery teams for smooth transition from prototype to
• Ensure technical and business alignment throughout the solution

Desired Skills & Experience

• 10+ years in AI/ML with at least 2+ years in GenAI research or applied
• Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
• Deep expertise in Deep learning, LLMs, agentic AI , prompt engineering, RAG pipelines, and fine-tuning.
• Proven ability to work across cross-functional teams
• Proven track record of building and deploying GenAI solutions or
• Excellent written and verbal communication skills
• Proven ability to collaborate across delivery, marketing, and sales teams
• Familiarity with multiple domains (e.g., CPG, pharma, BFSI)
• Expertise in fairness, transparency, bias mitigation, and regulatory
• Knowledge of automation pipelines, model monitoring, retraining strategies, and version control for GenAI.
• Hands-on knowledge of AI services across major clouds (Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.)

Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary:  The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success

Desired Experience : 

• 8–12 years of overall experience.
• 3+ years in consulting or client-facing analytics roles.
• 3+ years of experience in CPG or adjacent commercial analytics environments.
• Proven experience engaging with senior stakeholders and leading client conversations.
• Strong track record in data science, statistics, and machine learning

Role & Responsibilities :

• Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions
• Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).
• Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders
• Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.
• Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI
• Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
• Perform a role that involves a combination of hands-on contribution and customer engagement
• Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Primary Skills (Mandatory)

• Strong foundation in ML and statistical concepts.
• Proficiency in SQL, Python, and PySpark.
• Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.
• Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.
• Ability to convert rigorous analysis into strategic recommendations.
• Strong project management, communication, and team leadership skills
• Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space

 Secondary Skills (Good to have):

• Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.
• Data engineering / MLOps experience.
• Dashboarding experience with Power BI or Tableau
• Exposure to Agentic AI / LLMs or any other Gen AI capabilities

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.

Offices: New York | Dallas | San Francisco | Lima | Bengaluru

The below role is for our Bengaluru office.

About the Role:

You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning we would like to talk to you.

Function:  Data Science and Analysis → Data Science / Machine Learning

Desired Skills & Competencies:

• Strong learning acumen
• Team Management
• High sense of ownership
• Ability to work in a fast-paced and deadline-driven environment
• Loves technology
• Highly skilled at Data Interpretation
• Problem solver
• Good exposure to machine learning concepts and algorithms
• Must be fluent with any one of Python, R, Java
• Strong in statistical & machine learning concepts
• Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn
• Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)

Responsibilities:

• Hypothesis testing, insights generation, root cause analysis, factor analysis
• Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms
• Test/train the model, Improve Model accuracy, Monitor model performance
• Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA

Desired Experience & Education:

• 3 - 5 years of relevant Machine Learning experience.
• B. Tech from Tier-1 college / M.S or M. Tech is preferred in Computer Science, Information Technology, or similar degree.