Data Scientist

About MyOperator

MyOperator is a Business AI Operator and category leader that unifies WhatsApp, Calls, and AI-powered chatbots & voice bots into one intelligent business communication platform.Unlike fragmented communication tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.Trusted by 12,000+ brands including Amazon, Domino’s, Apollo, and Razor-pay, MyOperator enables faster responses, higher resolution rates, and scalable customer engagement

Role Summary

We’re hiring a Front Deployed Engineer (FDE)—a customer-facing, field-deployed engineer who owns the end-to-end delivery of AI bots/agents.

This role is “frontline”: you’ll work directly with customers (often onsite), translate business reality into bot workflows, do prompt engineering + knowledge grounding, ship deployments, and iterate until it works reliably in production.

Think: solutions engineer + implementation engineer + prompt engineer, with a strong bias for execution.

Responsibilities

Requirement Discovery & Stakeholder Interaction

• Join customer calls alongside Sales and Revenue teams.
• Ask targeted questions to understand business objectives, user journeys, automation expectations, and edge cases.
• Identify data sources (CRM, APIs, Excel, SharePoint, etc.) required for the solution.
• Act as the AI subject-matter expert during client discussions.

Use Case & Solution Documentation

• Convert discussions into clear, structured use case documents, including:
• Problem statement & goals.
• Current vs. proposed conversational flows.
• Chatbot conversation logic, integrations, and dependencies.
• Assumptions, limitations, and success criteria.

Customer Delivery Ownership

Own deployment of AI bots for customer use-cases (lead qualification, support, booking, etc.). Run workshops to capture processes, FAQs, edge cases, and success metrics. Drive the go-live process: requirements through monitoring and improvement.

Prompt Engineering & Conversation Design

Craft prompts, tool instructions, guardrails, fallbacks, and escalation policies for stable behavior. Build structured conversational flows: intents, entities, routing, handoff, and compliant responses. Create reusable prompt patterns and "prompt packs."

Testing, Debugging & Iteration

Analyze logs to find failure modes (misclassification, hallucination, poor handling). Create test sets ("golden conversations"), run regressions, and measure improvements. Coordinate with Product/Engineering for platform needs.

Integrations & Technical Coordination

Integrate bots with APIs/webhooks (CRM, ticketing, internal tools) to complete workflows. Troubleshoot production issues and coordinate fixes/root-cause analysis.

What Success Looks Like

• Customer bots go live quickly and show high containment + high task completion with low escalation.
• You can diagnose failures from transcripts/logs and fix them with prompt/workflow/knowledge changes.
• Customers trust you as the “AI delivery owner”—clear communication, realistic timelines, crisp execution.

Requirements (Must Have)

• 2–5 years in customer-facing delivery roles: implementation, solutions engineering, customer success engineering, or similar.
• Hands-on comfort with LLMs and prompt engineering (structured outputs, guardrails, tool use, iteration).
• Strong communication: workshops, requirement capture, crisp documentation, stakeholder management.
• Technical fluency: APIs/webhooks concepts, JSON, debugging logs, basic integration troubleshooting.
• Willingness to be front deployed (customer calls/visits as needed).

Good to Have (Nice to Have)

• Experience with chatbots/voicebots, IVR, WhatsApp automation, conversational AI platforms with at least a couple of projects. 
• Understanding of metrics like containment, resolution rate, response latency, CSAT drivers.
• Prior SaaS onboarding/delivery experience in mid-market or enterprises.

Working Style & Traits We Value

• High agency: you don’t wait for perfect specs—you create clarity and ship.
• Customer empathy + engineering discipline.
• Strong bias for iteration: deploy → learn → improve.
• Calm under ambiguity (real customer environments are chaotic by default).

Description

Join company as a Backend Developer and become a pivotal force in building the robust, scalable services that power our innovative platforms. In this role, you will design, develop, and maintain server‑side applications, ensuring high performance and reliability for millions of users. You’ll collaborate closely with cross‑functional product, front‑end, and DevOps teams to translate business requirements into clean, efficient code, while participating in code reviews and architectural discussions. Our dynamic environment encourages continuous learning, offering opportunities to work with cutting‑edge technologies, cloud infrastructures, and modern development practices. As a key contributor, your work will directly impact product quality, user satisfaction, and the overall success of company's mission to streamline hiring solutions.

Requirements:

• 1–15 years of professional experience in backend development, with a strong focus on building APIs and microservices.
• Proficiency in server‑side languages such as Python, Java, Node.js, or Go, and solid understanding of object‑oriented and functional programming paradigms.
• Extensive experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis), including schema design and query optimization.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes.
• Hands‑on experience with version control (Git), CI/CD pipelines, and automated testing frameworks.
• Strong problem‑solving abilities, effective communication skills, and a collaborative mindset for working within multidisciplinary teams.

Roles and Responsibilities:

• Design, develop, and maintain high‑throughput backend services and RESTful APIs that support core product features.
• Implement data models and storage solutions, ensuring data integrity, security, and optimal performance.
• Collaborate with front‑end engineers, product managers, and designers to define technical requirements and deliver end‑to‑end solutions.
• Participate in code reviews, provide constructive feedback, and uphold coding standards and best practices.
• Monitor, troubleshoot, and optimize production systems, implementing robust logging, alerting, and performance tuning.
• Contribute to the continuous improvement of development workflows, including CI/CD automation, testing strategies, and deployment processes.
• Stay current with emerging technologies and industry trends, proposing innovative approaches to enhance system architecture.

Budget:

• Job Type: payroll
• Experience Range: 1–15 years

• As a lead engineer, you will be expected to execute and deliver large and complex projects end-to-end, with or without the involvement of other team members.
• Participate in code reviews, app architecture, and design discussions.
• Ensuring timely delivery of all product deliverables.
• Be the go-to person for the team for guidance and troubleshooting. 
• Mentoring junior developers and set best practices for coding, reviews, etc.
• Ensuring performance and scalability in all new product features being developed. 

• Overall of 5+ years of expertise in at least one dynamic programming language like Python and one MVC web framework, preferably Django.
• Experience in at least one frontend framework, preferably React.js
• Expertise in database modeling, preferably relational DB, spotting DB bottlenecks, and writing optimized DB queries.
• Expertise in all common AWS cloud technologies, knowledge of CI/CD tools, and workflows.

Publicis Sapient Overview:

The Senior Associate People Senior Associate L1 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution 

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Job Summary:

As Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for data engineering solution. Utilize deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution

The role requires a hands-on technologist who has strong programming background like Java / Scala / Python, should have experience in Data Ingestion, Integration and data Wrangling, Computation, Analytics pipelines and exposure to Hadoop ecosystem components. You are also required to have hands-on knowledge on at least one of AWS, GCP, Azure cloud platforms.

Role & Responsibilities:

Your role is focused on Design, Development and delivery of solutions involving:

• Data Integration, Processing & Governance

• Data Storage and Computation Frameworks, Performance Optimizations

• Analytics & Visualizations

• Infrastructure & Cloud Computing

• Data Management Platforms

• Implement scalable architectural models for data processing and storage

• Build functionality for data ingestion from multiple heterogeneous sources in batch & real-time mode

• Build functionality for data analytics, search and aggregation

Experience Guidelines:

Mandatory Experience and Competencies:

# Competency

1.Overall 5+ years of IT experience with 3+ years in Data related technologies

2.Minimum 2.5 years of experience in Big Data technologies and working exposure in at least one cloud platform on related data services (AWS / Azure / GCP)

3.Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in building end to end data pipeline.

4.Strong experience in at least of the programming language Java, Scala, Python. Java preferable

5.Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc

6.Well-versed and working knowledge with data platform related services on at least 1 cloud platform, IAM and data security

Preferred Experience and Knowledge (Good to Have):

# Competency

1.Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience

2.Knowledge on data governance processes (security, lineage, catalog) and tools like Collibra, Alation etc

3.Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search & indexing and Micro services architectures

4.Performance tuning and optimization of data pipelines

5.CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality

6.Cloud data specialty and other related Big data technology certifications

Personal Attributes:

• Strong written and verbal communication skills

• Articulation skills

• Good team player

• Self-starter who requires minimal oversight

• Ability to prioritize and manage multiple tasks

• Process orientation and the ability to define and set up processes

Job Description: SOC Manager

ESSENTIAL RESPONSIBILITIES          

•      Leadership & Team Management: Leads the SOC team providing clear direction, fostering teamwork and collaboration. Regularly assesses the strengths and weaknesses of team members, providing mentoring, coaching, and opportunities for growth. Hands-on execution across operational challenges, making decisive judgments while ensuring high morale and cohesion.

•      Incident Management: Ensures that all security events and incidents are identified, categorized, and responded to promptly and thoroughly. This includes setting up appropriate escalation processes, coordinating between various teams for cross-functional incidents, and ensuring that incidents are closed with comprehensive documentation and lessons learned.

•      Continuous Improvement: Regularly reviews and analyzes the efficiency of the existing operations processes, tools, and protocols. Implement changes based on findings, feedback from the team, and changing threat landscapes. This also involves staying updated with advancements in SOC technologies and methodologies.

•      Technology Management: Oversees the implementation, configuration, and continuous tuning of various security tools, including the client’s Security Platform.

•      Training and Development: Designs and implements a continuous training plan for the existing and new SOC team members, ensuring they have the latest skills and knowledge and are onboarded and productive as quickly as possible. This also involves organizing periodic simulation exercises (like red teaming) to test and improve incident response capabilities.

•      Reporting: Establishes a comprehensive reporting framework that offers insights into the SOC's performance. This includes metrics on incident volumes, response times, and resolution success rates.

These reports should be presented to stakeholders clearly, actionable, highlighting successes and areas for improvement.

REQUIRED EXPERIENCE

•      Minimum of 6+ years in cybersecurity roles with at least 3 years in a SOC leadership position.

Experience in an MSSP or a large-scale global SOC is highly preferred.

•      Experience in actively managing the lifecycle of security incidents.

•      Strong knowledge and familiarity with major cloud provider technologies (AWS, Azure, etc.)

•      Solid understanding of networking protocols and infrastructure designs, including cloud infrastructures, routing, firewall functionality, host and network intrusion detection systems, encryption, load balancing, and other network protocols.

•      Experience with virtualization technologies (VMware, Microsoft Hyper-V).

•      Experience with the following tools and technologies:

–     Security Information and Event Management (SIEM)

–     Intrusion Detection & Prevention (IDP) 

–     Endpoint Detection & Response (EDR)

–     Network Detection & Response (NDR)

–     Network Analysis tools - Wireshark, tcpdump, etc. 

–     Scripting in Python, Bash, PowerShell

•      Experience in regulated environments such as HIPAA or PCI preferred.

•      Strong governance skills in time management, project management, and stakeholder management.

•      Excellent communication skills, with ability to lead security-reviews with clients; keep stakeholders appraised of key issues/risks/incidents.

PREFERRED CERTIFICATIONS

•      CISSP – Certified Information Systems Security Professional

•      CISM – Certified Information Security Manager

•      OSCP – Offensive Security Certified Professional

•      CEH – Certified Ethical Hacker

•      GSEC – SANS GIAC Security Essentials

•      CompTIA – Security

OTHER REQUIREMENTS

·      Flexibility of schedule is required to meet the demands of the position.

·      This role requires to work in shifts (including night shift) and support clients in North America.

Responsibilities:

* 3+ years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures.

* SQL Specialist – Strong knowledge and Seasoned experience with SQL Queries

* Languages: Python

* Good communicator, shows initiative, works well with stakeholders.

* Experience working closely with Data Analysts and provide the data they need and guide them on the issues.

* Solid ETL experience and Hadoop/Hive/Pyspark/Presto/ SparkSQL

* Solid communication and articulation skills

* Able to handle stakeholders independently with less interventions of reporting manager.

* Develop strategies to solve problems in logical yet creative ways.

* Create custom reports and presentations accompanied by strong data visualization and storytelling

We would be excited if you have:

* Excellent communication and interpersonal skills

* Ability to meet deadlines and manage project delivery

* Excellent report-writing and presentation skills

* Critical thinking and problem-solving capabilities

Technical Experience :

• 2-6 years of Python working experience
• Expertise in at least one popular Python framework /Django/ Flask
• Knowledge of object-relational mapping d
• Familiarity with front-end technologies JavaScript and HTML5

Key Responsibilities :

• Write effective, scalable code
• Develop back-end components to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs5 Improve functionality