Senior Executive - Analytics (Business Intelligence)
Role - Senior Executive Analytics (BI)
Overview of job -
Our Client is the world’s largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Executive Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength, so we respect and nurture their individual talent and potential.
Reporting of the role - This role reports to the Director - Analytics.
3 best things about the job:
1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients
2. Build and be a part of a dynamic team
3. Being part of a global organisations with rapid growth opportunities
Responsibilities of the role:
• Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python, SQL, Alteryx.
• Work with large data sets via hands-on data processing to produce structured data sets for analysis.
• Good to Have - Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.
What you will need:
• Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science, or quantitative field.
• Proficiency in one or more coding languages – preferred languages: Python, R
• Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI
• Proficiency in using SQL.
• Minimum 3 years of experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models is a plus.
About World's largest Media Investment Company
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As a part of WWS, your expertise in machine learning helps us extract value from our data. You will lead all the processes from data collection, cleaning, and preprocessing, to training models and situating them to production. The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in the field.
What We Expect
- A Bachelor's/Master's degree in IT, computer science, or an advanced related field is preferred.
- At least 3+ years of experience working with ML libraries and packages.
- Familiarity with coding and programming languages, including Python, Java, C++, and SAS.
- Strong experience in programming and statistics.
- Well-versed in Data Science and neural schematics in networking and software.
- Flexibility in shifts is appreciated.
A Full Stack Developer’s Ideal Day At WWS
Design and Develop. The primary protocols include implementing machine learning algorithms and running AI systems experiments and tests. The Designing and development of machine learning systems along with performing statistical analyses falls under day to day activities of the developer.
Algorithm Assertion. The engineers act as critical members of the data science team as their tasks involve researching, asserting, and designing the artificial intelligence responsible for machine learning and maintaining and improving existing artificial intelligence systems.
Research and Development. To analyze large, complex datasets and extract insights and decide on the appropriate technique. research and implement best practices to improve the existing machine learning infrastructure. At most providing support to engineers and product managers in implementing machine learning as the product.
What You Can Expect
- Full-time, salaried positions creamed with welfare programs.
- Competitive salary and tailored training in the core space with recognition potential and annual bonus.
- Periodic performance appraisals.
- Attendance Incentives.
- Working with the best and budding talent in the industry.
- A conducive intangible environment with dynamic benefits.
Why Consider Machine Learning Engineer as a career with WWS?
With a very appealing work environment at WWS, our setting made it easier to build relationships with other staff members and clients. You may also have an opportunity to learn other aspects of environmental office work on the job, which can enhance your experience and qualifications.
Many businesses must proactively react to changing factors — like patterns of customer behavior or prices. Tracking model performance and retraining it once fresher data is available is key to success. This falls under the MLE range of responsibilities for which the requirement has been crucial for many organizations.
Please attach your resume and let us know through email your current address, phone number, and the best time to contact you by phone.
Apply To this Job
Data Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
● Able contribute to the gathering of functional requirements, developing technical
specifications, and project & test planning
● Demonstrating technical expertise, and solving challenging programming and design
problems
● Roughly 80% hands-on coding
● Generate technical documentation and PowerPoint presentations to communicate
architectural and design options, and educate development teams and business users
● Resolve defects/bugs during QA testing, pre-production, production, and post-release
patches
● Work cross-functionally with various bidgely teams including: product management,
QA/QE, various product lines, and/or business units to drive forward results
Requirements
● BS/MS in computer science or equivalent work experience
● 2-4 years’ experience designing and developing applications in Data Engineering
● Hands-on experience with Big data Eco Systems.
● Hadoop,Hdfs,Map Reduce,YARN,AWS Cloud, EMR, S3, Spark, Cassandra, Kafka,
Zookeeper
● Expertise with any of the following Object-Oriented Languages (OOD): Java/J2EE,Scala,
Python
● Strong leadership experience: Leading meetings, presenting if required
● Excellent communication skills: Demonstrated ability to explain complex technical
issues to both technical and non-technical audiences
● Expertise in the Software design/architecture process
● Expertise with unit testing & Test-Driven Development (TDD)
● Experience on Cloud or AWS is preferable
● Have a good understanding and ability to develop software, prototypes, or proofs of
concepts (POC's) for various Data Engineering requirements.
Requirements:
● Understanding our data sets and how to bring them together.
● Working with our engineering team to support custom solutions offered to the product development.
● Filling the gap between development, engineering and data ops.
● Creating, maintaining and documenting scripts to support ongoing custom solutions.
● Excellent organizational skills, including attention to precise details
● Strong multitasking skills and ability to work in a fast-paced environment
● 5+ years experience with Python to develop scripts.
● Know your way around RESTFUL APIs.[Able to integrate not necessary to publish]
● You are familiar with pulling and pushing files from SFTP and AWS S3.
● Experience with any Cloud solutions including GCP / AWS / OCI / Azure.
● Familiarity with SQL programming to query and transform data from relational Databases.
● Familiarity to work with Linux (and Linux work environment).
● Excellent written and verbal communication skills
● Extracting, transforming, and loading data into internal databases and Hadoop
● Optimizing our new and existing data pipelines for speed and reliability
● Deploying product build and product improvements
● Documenting and managing multiple repositories of code
● Experience with SQL and NoSQL databases (Casendra, MySQL)
● Hands-on experience in data pipelining and ETL. (Any of these frameworks/tools: Hadoop, BigQuery,
RedShift, Athena)
● Hands-on experience in AirFlow
● Understanding of best practices, common coding patterns and good practices around
● storing, partitioning, warehousing and indexing of data
● Experience in reading the data from Kafka topic (both live stream and offline)
● Experience in PySpark and Data frames
Responsibilities:
You’ll
● Collaborating across an agile team to continuously design, iterate, and develop big data systems.
● Extracting, transforming, and loading data into internal databases.
● Optimizing our new and existing data pipelines for speed and reliability.
● Deploying new products and product improvements.
● Documenting and managing multiple repositories of code.
Roles and Responsibilities
Senior Data Engineer
Responsibilities:
● Clean, prepare and optimize data at scale for ingestion and consumption by machine learning models
● Drive the implementation of new data management projects and re-structure of the current data architecture
● Implement complex automated workflows and routines using workflow scheduling tools
● Build continuous integration, test-driven development and production deployment frameworks
● Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
● Anticipate, identify and solve issues concerning data management to improve data quality
● Design and build reusable components, frameworks and libraries at scale to support machine learning products
● Design and implement product features in collaboration with business and Technology stakeholders
● Analyze and profile data for the purpose of designing scalable solutions
● Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
● Mentor and develop other data engineers in adopting best practices
● Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
Qualifications:
● 8+ years of experience developing scalable Big Data applications or solutions on distributed platforms
● Experience in Google Cloud Platform (GCP) and good to have other cloud platform tools
● Experience working with Data warehousing tools, including DynamoDB, SQL, and Snowflake
● Experience architecting data products in Streaming, Serverless and Microservices Architecture and platform.
● Experience with Spark (Scala/Python/Java) and Kafka
● Work experience with using Databricks (Data Engineering and Delta Lake components)
● Experience working with Big Data platforms, including Dataproc, Data Bricks etc
● Experience working with distributed technology tools including Spark, Presto, Databricks, Airflow
● Working knowledge of Data warehousing, Data modeling
● Experience working in Agile and Scrum development process
● Bachelor's degree in Computer Science, Information Systems, Business, or other relevant subject area
Role:
Senior Data Engineer
Total No. of Years:
8+ years of relevant experience
To be onboarded by:
Immediate
Notice Period:
Skills
Mandatory / Desirable
Min years (Project Exp)
Max years (Project Exp)
GCP Exposure
Mandatory Min 3 to 7
BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep .Spark and PySpark
Mandatory Min 5 to 9
Relational SQL
Mandatory Min 4 to 8
Shell scripting language
Mandatory Min 4 to 8
Python /scala language
Mandatory Min 4 to 8
Airflow/Kubeflow workflow scheduling tool
Mandatory Min 3 to 7
Kubernetes
Desirable 1 to 6
Scala
Mandatory Min 2 to 6
Databricks
Desirable Min 1 to 6
Google Cloud Functions
Mandatory Min 2 to 6
GitHub source control tool
Mandatory Min 4 to 8
Machine Learning
Desirable 1 to 6
Deep Learning
Desirable Min 1to 6
Data structures and algorithms
Mandatory Min 4 to 8
Machine Learning & Deep Learning – Strong
Experienced in TensorFlow, PyTorch, ONNX, Object Detection, Pretrained Models like YOLO, SSD, Faster RCNN, etc…
Python – Strong
NumPy, Pandas, OpenCV
Problem Solving - strong
C++ - average
It will be good if candidate have working experience in C++ in any domain
Note :: Looking for Immediate to 30 days of Notice Period
Job Description: Data Scientist
At Propellor.ai, we derive insights that allow our clients to make scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science, and Business Logic. Combine these and we show our clients a 360-degree view of their business. In this role, the Data Scientist will be expected to work on Procurement problems along with a team-based across the globe.
We are a Remote-First Company.
Read more about us here: https://www.propellor.ai/consulting" target="_blank">https://www.propellor.ai/consulting
What will help you be successful in this role
- Articulate
- High Energy
- Passion to learn
- High sense of ownership
- Ability to work in a fast-paced and deadline-driven environment
- Loves technology
- Highly skilled at Data Interpretation
- Problem solver
- Ability to narrate the story to the business stakeholders
- Generate insights and the ability to turn them into actions and decisions
Skills to work in a challenging, complex project environment
- Need you to be naturally curious and have a passion for understanding consumer behavior
- A high level of motivation, passion, and high sense of ownership
- Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities
- Flexibility to work on multiple projects and deadline-driven fast-paced environment
- Ability to work in ambiguity and manage the chaos
Key Responsibilities
- Analyze data to unlock insights: Ability to identify relevant insights and actions from data. Use regression, cluster analysis, time series, etc. to explore relationships and trends in response to stakeholder questions and business challenges.
- Bring in experience for AI and ML: Bring in Industry experience and apply the same to build efficient and optimal Machine Learning solutions.
- Exploratory Data Analysis (EDA) and Generate Insights: Analyse internal and external datasets using analytical techniques, tools, and visualization methods. Ensure pre-processing/cleansing of data and evaluate data points across the enterprise landscape and/or external data points that can be leveraged in machine learning models to generate insights.
- DS and ML Model Identification and Training: Identity, test, and train machine learning models that need to be leveraged for business use cases. Evaluate models based on interpretability, performance, and accuracy as required. Experiment and identify features from datasets that will help influence model outputs. Determine what models will need to be deployed, data points that need to be fed into models, and aid in the deployment and maintenance of models.
Technical Skills
An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of them. We are open to promising candidates who are passionate about their work, fast learners and are team players.
- Strong experience with machine learning and AI including regression, forecasting, time series, cluster analysis, classification, Image recognition, NLP, Text Analytics and Computer Vision.
- Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as Python, or similar.
- Strong experience with popular database programming languages including SQL.
- Strong experience in Spark/Pyspark
- Experience in working in Databricks
What are the company benefits you get, when you join us as?
- Permanent Work from Home Opportunity
- Opportunity to work with Business Decision Makers and an internationally based team
- The work environment that offers limitless learning
- A culture void of any bureaucracy, hierarchy
- A culture of being open, direct, and with mutual respect
- A fun, high-caliber team that trusts you and provides the support and mentorship to help you grow
- The opportunity to work on high-impact business problems that are already defining the future of Marketing and improving real lives
To know more about how we work: https://bit.ly/3Oy6WlE" target="_blank">https://bit.ly/3Oy6WlE
Whom will you work with?
You will closely work with other Senior Data Scientists and Data Engineers.
Immediate to 15-day Joiners will be preferred.
- Experience with relational SQL & NoSQL databases including MySQL & MongoDB.
- Familiar with the basic principles of distributed computing and data modeling.
- Experience with distributed data pipeline frameworks like Celery, Apache Airflow, etc.
- Experience with NLP and NER models is a bonus.
- Experience building reusable code and libraries for future use.
- Experience building REST APIs.
Preference for candidates working in tech product companies
Job Description: Project Manager
Internal Role: Delivery Manager
Type: Full time
Location: Bangalore
Internal Role: Delivery Manager
About Dataweave:
About Us
DataWeave provides “Competitive Intelligence as a Service” to Retailers and Consumer brands helping them optimize their offerings through effective pricing, assortment and promotional recommendations.
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the Web. At serious scale!
Read more on http://dataweave.com/about/become-dataweaver">Become a DataWeaver
Job Description:
- Develop a detailed project plan (Ensuring resource availability and allocation) to track progress
- Developing project scopes and objectives, involving all relevant stakeholders and ensuring technical feasibility
- Ensure that all projects are delivered on-time, within scope and within budget
- Coordinate internal resources and third parties/vendors for the flawless execution of projects
- Use appropriate verification techniques to manage risks, changes in project scope, schedule and costs
- Measure project performance using appropriate systems, tools and techniques
- Report and escalate to management as needed
- Establish and maintain relationships with Clients, internal stakeholders, third parties / vendors
- Create and maintain comprehensive project documentation
- Definition of service level agreements (SLA) in relation to services, ensuring the SLA’s are achieved; data sanity and hygiene & client expectations are exceeded
- Effectively monitor, control and support delivery, ensuring standard operating procedures and methodologies are followed
- Create KPIs for monitoring and review and publish health stats on a recurring basis
Key Skills / Knowledge required:
- Proven ability to switch context, manage multiple short projects
- Relevant experience of 3-5 years and overall experience of 8+ yrs
- Exposure to Analytics delivery process, ability to troubleshoot using insights within the data
- Basic Database query skills, with knowledge of Web-crawling concepts is preferred
- Excellent communication skills
- Team management and ability to deliver while working with cross functional teams
- Exposure to Agile Development (Scrum / Kanban) methodology is a plus