Sales Manager

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

We are seeking a highly motivated and technically proficient Sales & Application Engineer to drive sales and provide technical support for both high-precision CNC metrology systems and advanced machining tooling. This role requires extensive travel to customer sites and strong collaboration with internal teams.

• Visit machining industries to promote and demonstrate a comprehensive range of products, including carbide inserts, holders, drills, taps, endmills, and high-precision machine probes, tool setters, and calibration systems.
• Understand customer machining operations and suggest suitable tooling and metrology solutions to improve efficiency and quality.
• Conduct product demonstrations and cutting trials, validating performance for customers.
• Engage new customers, prepare and submit detailed quotations, negotiate terms, and close sales deals.
• Follow up on quotations, orders, and payments to ensure a smooth sales cycle.
• Collaborate with the Application and Service teams for trials and ongoing technical support.

Key Requirements:

• Diploma/Degree in Mechanical or Production Engineering.
• In-depth knowledge of CNC machining, tooling, and process parameters.
• Familiarity with metrology brands like Renishaw, Blum, and Marposs is highly desirable.
• Must be willing to travel extensively across the assigned territory.

What you will do:

• Understand the process of CaaStle business teams, KPIs, and pain points
• Build scalable data products, self-service tools, data cubes to analyze and present data associated with acquisition, retention, product performance, operations, client services, etc.
• Closely partner with data engineering, product, and business teams and participate in requirements capture, research design, data collection, dashboard generation, and translation of results into actionable insights that can add value for business stakeholders
• Leverage advanced analytics to drive key success metrics for business and revenue generation
• Operationalize, implement, and automate changes to drive data-driven decisions
• Attend and play an active role in answering questions from the executive and/or business teams through data mining and analysis

We would love for you to have:

• Education: Advanced degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Business Analytics or related field is required
• Experience: 2-4 years of professional experience
• Proficiency in data visualization/reporting tools (i.e. Tableau, Qlikview, etc.)
• Experience in A/B testing and measure performance of experiments
• Strong proficiency with SQL-based languages. Experience with large scale data analytics technologies (i.e., Hadoop and Spark)
• Strong analytical skills and business mindset with the ability to translate complex concepts and analysis into clear and concise takeaways to drive insights and strategies
• Excellent communication, social, and presentation skills with meticulous attention to detail
• Programming experience in Python, R, or other languages
• Knowledge of Data mining, statistical modeling approaches, and techniques

CaaStle is committed to equality of opportunity in employment. It has been and will continue to be the policy of CaaStle to provide full and equal employment opportunities to all employees and candidates for employment without regard to race, color, religion, national or ethnic origin, veteran status, age, sexual orientation, gender identity, or physical or mental disability. This policy applies to all terms, conditions and privileges of employment, such as those pertaining to training, transfer, promotion, compensation and recreational programs.

Role - Manager – Paid Search (Gurgaon, Bangalore, Mumbai)

Overview of job -

Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

We are currently looking for a Manager – Performance Marketing In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup. This role assumes responsibility of crafting a performance strategy for clients and create success stories.

Reporting of the role - This role reports to the Director – Performance Marketing 

What your day job looks like -

● Develop strong relationships with counterparts in regional teams (Europe, U.S., Asia)

● Support the training and growth of your team

● Enforce Search best practices with a focus on platform expertise, consistency, and quality of work delivery

● Be accountable for consistent work delivery to regional teams by ensuring a high quality of output

● Serve as point of escalation for your team and take ownership of resolving any issue

● Provide career development and coaching for your team

● Line manage 2-5 direct reports

● Provide timely and actionable feedback to the team to aid in their development, improvement, and progress. Provide awareness and recognition for jobs well done

● Present strong and effective communication across all levels.

What you’ll bring:

● You are proficient in English

● You have 5+ year experience of planning and managing Search campaigns

● You have a high-level knowledge of Paid Search platforms and third-party tools (AdWords, Bing, SA360, GA, SEM Rush, Editor)

● Kenshoo, Marine, Salesforce, etc is a plus

● You possess strong analytical skills and a natural affinity for numbers ● You are able to examine raw data, draw conclusions and develop actionable recommendations as needed

● You have experience maintaining quality standards at scale

● You have experience providing service to local teams from a centralized location

● You have a passion for everything digital, with an active interest and understanding of online advertising industry trends

● You have excellent communication skills, both verbal and written

● You are proficient in Microsoft Excel and Google Sheets

Job Description: Data Engineer 

Position Overview:

Role Overview

We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.

Key Responsibilities

· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.

· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).

· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.

· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.

· Ensure data quality and consistency by implementing validation and governance practices.

· Work on data security best practices in compliance with organizational policies and regulations.

· Automate repetitive data engineering tasks using Python scripts and frameworks.

· Leverage CI/CD pipelines for deployment of data workflows on AWS.

Required Skills and Qualifications

· Professional Experience: 5+ years of experience in data engineering or a related field.

· Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.

· AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:

· AWS Glue for ETL/ELT.

· S3 for storage.

· Redshift or Athena for data warehousing and querying.

· Lambda for serverless compute.

· Kinesis or SNS/SQS for data streaming.

· IAM Roles for security.

· Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.

· Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.

· DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.

· Version Control: Proficient with Git-based workflows.

· Problem Solving: Excellent analytical and debugging skills.

Optional Skills

· Knowledge of data modeling and data warehouse design principles.

· Experience with data visualization tools (e.g., Tableau, Power BI).

· Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).

· Exposure to other programming languages like Scala or Java.

Education

· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Why Join Us?

· Opportunity to work on cutting-edge AWS technologies.

· Collaborative and innovative work environment.

• 4+ years of mobile software development (iOS & Android).
• Bachelor’s Degree in Computer Science, Engineering, or related field.
• Deep understanding and proficiency in building mobile apps from scratch using at least one mobile language (Swift, Java, Objective-C, etc.). Experience with multiple platforms is preferred.
• Desire and ability to expand expertise into additional mobile languages.
• Expertise in designing testable software and building large scale, complex applications.
• Self-motivated with strong problem-solving skills.
• Passionate about writing clean, well organized, and production-ready code.
• A portfolio of Apps or SDKs already built and in the App Store and Google Play.
• Desire to build a larger in-house team and manage a group of developers over time.
• Some management experience preferred.