Data Science

Senior Principal Analyst – Data Science (Gen AI)

Key Responsibilities:

• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and
troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly
developed and maintained applications.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment
with overall business goals.
• Conduct research to stay up to date with the latest advancements in generative AI, machine learning, and deep
learning techniques and identify opportunities to integrate them into our products and services, optimizing
existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and
maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and
fine-tuning.
• Develop clear and concise documentation, including technical specifications, user guides and presentations, to
communicate complex AI concepts to both technical and non-technical stakeholders.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues
to appropriate staff

Qualifications:
• Bachelor’s degree (B. Tech/B.E.) or master’s degree (M. Tech/M.E.) in Computer Science, Information
Technology, or a related field.
• Minimum of 8 years of related AI/ML work experience
• You are proficient in Python and have experience with machine learning libraries and frameworks. Proficient in
Python, TensorFlow, PyTorch, and other relevant AI/ML libraries and frameworks.

• NLP & LLM Expertise: Strong experience (4+) specifically with NLP applications and LLMs (such as GPT, BERT,
etc.), including model training, fine-tuning, and deploying at scale.
• Cloud: Hands-on experience with cloud services (AWS, GCP, or Azure) for AI/ML deployment.
• Have a deep understanding of industry leading Foundation Model capabilities and its application.
• 2+ years of experience with implementing information search and retrieval at scale (RAG applications),
using a range of solutions ranging from keyword search to semantic search using embeddings.
• You are familiar with cloud-based Generative AI platforms and services
• Full stack software engineering experience to build products using Foundation Models
• Confirmed experience architecting applications, databases, services or integrations

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Senior Principal Analyst-AI Engineering

Responsibilities

We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies,
Data Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a
Senior Principal Analyst, you will be responsible for leadingtechnical initiatives, designing innovative solutions, and
providing expert consultation to our clients.

Key Responsibilities:
• Develop and implement machine learning models (classification, regression) using advanced techniques.
• Select features, build, and optimize classifiers and regressors using traditional ML methods such as decision
trees, random forests, and gradient boosting.
• Perform data pre-processing, including data cleaning and transformation for analysis.
• Leverage statistical methods to analyze datasets, perform hypothesis testing, and implement predictive models.
• Lead end-to-end model development lifecycle: from data wrangling to deployment.
• Mentor junior data scientists and guide them in the application of machine learning algorithms.
• Collaborate with business stakeholders to translate their needs into actionable data-driven solutions.
Technical Skills:
• Advanced proficiency in Python and libraries such as scikit-learn and XGBoost.
• Strong understanding of ML algorithms (SVM, KNN, Naive Bayes) and statistical techniques (regression,
clustering, time-series analysis).
• Expertise in model validation and evaluation techniques (cross-validation, confusion matrix, AUC-ROC).
• Experience with data visualization tools (Tableau, Power BI) and SQL for data extraction.
• Familiarity with cloud environments (AWS, GCP).
Qualifications:
• Bachelor’s or master’s degree in computer science, statistics, or related fields.
• 8+ years of experience in building and deploying traditional machine learning models.

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Director / Sr. Director – Delivery

Factspan Overview:
Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new pro-cesses that help them succeed. With offices in Seattle, Washington and Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors.
Job Description:
We are looking for a highly skilled and motivated Senior Director, Delivery to join our team and lead our efforts in delivering exceptional data analytics solutions. The ideal candidate will have extensive experience in data engineering, data science, or strategic business analytics, along with a proven track record in consulting and delivery management. As a Senior Director, Delivery, you will be responsible for overseeing the end-to-end delivery of multiple medium-scale and complex projects, managing high-performing teams, and ensuring exceptional client satisfaction through high-quality deliverables.
Key Responsibilities.
Functional Skills: ● Solve specific problems end-to-end, ensuring comprehensive and effective solutions.
● Create and present strategic solutions to clients, addressing their unique business needs.
● Successfully manage and deliver multiple medium-scale and complex projects.
● Demonstrate exceptional delivery and team management skills, ensuring high performance and efficiency.

Technical Skills :
● Hands-on experience in the Data Analytics field, preferably in Data Engineering, Data Science, or strategic business analytics.
● Preferred certifications in Data Analytics to showcase expertise and commitment to the field.
● Overall 12-15 years of experience, with a progression from technical roles to consulting and delivery management positions.
● Lead business and technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs).
● Build and maintain strong relationships with senior stakeholders (Director/VP level) from the client side.
● Maintain a razor-sharp focus on customer Net Promoter Score (NPS) through four pillars: Quality of Deliverables, Timeliness, Technical Rigor, and Business Grasp.
Behavioral Skills:
● Take ownership and accountability of outcomes, ensuring successful project delivery and client satisfaction.
● Exhibit excellent written and verbal communication skills, effectively conveying complex information.
● Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions.
● Foster a collaborative team environment and show self-driven initiative to achieve goals.

Qualifications:
● Minimum 4 years Bachelor’s degree.
● Proven track record of successfully delivering multiple medium-scale and complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains.
● Experience in consulting and delivery management, with the ability to lead and inspire high-performing teams.
● Exceptional leadership and stakeholder management skills, with the ability to build relationships with senior stakeholders. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.

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