Data Science Engineer

Responsibilities:

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
• Design and implement cloud solutions, build MLOps on the cloud (preferably AWS)
• Work with workflow orchestration tools like Kubeflow, Airflow, Argo, or similar tools
• Data science models testing, validation, and test automation.
• Communicate with a team of data scientists, data engineers, and architects, and document the processes.

Eligibility:

• Rich hands-on experience in writing object-oriented code using python
• Min 3 years of MLOps experience (Including model versioning, model and data lineage, monitoring, model hosting and deployment, scalability, orchestration, continuous learning, and Automated pipelines)
• Understanding of Data Structures, Data Systems, and software architecture
• Experience in using MLOps frameworks like Kubeflow, MLFlow, and Airflow Pipelines for building, deploying, and managing multi-step ML workflows based on Docker containers and Kubernetes.
• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc. )

Kindly note that candidates who have graduated in 2022 and 2023 only will be considered for the role who are based in Mumbai, immediate joiners

JD - Data Operations Analyst

What is the job and team like

• As a Data Operations Analyst we manage business reporting of numerous teams, constantly monitor performance
• Checking the integrity of the revenue reporting done by the different systems for the correct profitability to be
• reported to the CXOs
• Send reports periodically and alert stakeholders for changes in the key performance metrics
• Allocate efforts to different Business Implementations that help build Profit/Loss statement for the Financials.
• Track crucial data points which affect the core of the business and escalate it to senior stakeholders

Roles and Responsibilities

• Graduate in IT Background(BE/BSc IT/ BCA) 2022 and 2023 graduates only
• Executing a set of business processes daily/weekly/monthly as per Business requirement.
• Provide ad-hoc data support on any urgent reports and material in an expedited manner
• Maintain a list of open tasks and escalations, and send updates to the relevant stakeholders
• Have an eye for detail, should have the ability to look at numbers, spot trends and identify gaps
• Identify efficient and meaningful ways to communicate data and analysis through ongoing reports and dashboards
• Proficiency in SQL, Excel and any statistical and analytical tools such as SAS, SPSS is a big plus
• Managing master data, including creation, updates, and deletion.
• Ability to work in a fast paced, technical, cross functional environment
• Familiarity with Internet Industry and Online Advertising Business is a plus

Ideal candidate

• Import and export large volume of data to database tables as required
• Should be able to write Data Definition Language or Data Manipulation Language SQL commands
• Develop programs, methodologies to get analyzable data on a regular basis
• Good team player and multi-tasker
• Should have the ability to learn and adapt to change
• Self-starter Must be productive with minimal direction
• High-level written and verbal communication sk

Job Details

Work mode- In office

Must have skills - SQL, MS Excel, Communications

Power BI Engineer 

Company Overview: 

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day. 

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results. 

What we're looking for :

• You should have strong technical and analytical skill with more in SQL Server, reporting tools like Tableau, Power BI, SSRS and .Net. 
• You have experience in OLAP, UI/UX and Dashboard building.
• You should have experience for proper understanding of the project deliverables. 
• You should possess excellent communication skills. 

• You will be responsible for the respective tasks assigned in the project. 
• You will be responsible for the deliverable with proper quality, in planned time and cost adhering to the industry standards that will be defined for the project. 
• You will be involved in client interaction. 

Technical Knowledge (Must Have)

• Strong experience in SQL / HiveQL/ AWS Athena,
• Strong expertise in the development of data pipelines (snaplogic is preferred).
• Design, Development, Deployment and administration of data processing applications.
• Good Exposure towards AWS and Azure Cloud computing environments.
• Knowledge around BigData, AWS Cloud Architecture, Best practices, Securities, Governance, Metadata Management, Data Quality etc.
• Data extraction through various firm sources (RDBMS, Unstructured Data Sources) and load to datalake with all best practices.
• Knowledge in Python
• Good knowledge in NoSQL technologies (Neo4J/ MongoDB)
• Experience/knowledge in SnapLogic (ETL Technologies)
• Working knowledge on Unix (AIX, Linux), shell scripting
• Experience/knowledge in Data Modeling. Database Development
• Experience/knowledge creation of reports and dashboards in Tableau/ PowerBI

About FarMart At FarMart we are building the world’s first OS powering food value chains. By digitizing and incentivizing the rural agri-retailer, FarMart has created one-stop hubs for farmers to buy input and sell output in close proximity to their farms. This alternative, asset-light, food value chain eliminates the considerable transportation costs, spillages, and time effort for both the producer and the end-buyer. Are you passionate about the intersection of tech and food?

Role: Data Scientist II 
Experience: 2-4 years
About You 
Are you a beginner whose eyes light up when you see the progress bar of your model training or are you an experienced data professional whose heart sinks as the model loss starts to climb up? If that’s you, we like you already. Do you think about problem statements when you are on a cab ride or do you open up blog articles to entertain and enlighten you in boring meetings? If that’s you, we like you more now. All in all, you must have an insatiable hunger for knowledge and a team player attitude!

Key Responsibilities

• Understand and optimize the data infrastructure
• Develop visualization dashboards for the business and operations team - Setup and own data acquisition for several external sources
• Manage and clean the data for use by several systems
• Develop state-of-the-art Deep Learning/Classical models
• Deploy and Maintain production services
• Contribute to the community through open-source, blogs, etc.

What are we looking for

• Deep understanding of core concepts
• Broader knowledge of different types of problem statements and approaches
• Excellent hold on Python and the standard library
• Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
• Experience with Computer Vision, Forecasting, and NLP will come in handy.
• A get shit done attitude
• A research mindset and a creative caliber to utilize previous work to your advantage.

• 💰  Early-stage, ed-tech, funded, growing, growing fast.
• 🎯  Mission Driven: Make Indonesia competitive on a global scale.
• 🥅  Build the best educational content and technology to advance STEM education 
• 🥇  Students-First approach

• ❤️  Love what we do
• 🎮  Committed to making learning fun, accessible, and safe 
• 🤝  Teams are better. We value ownership, responsibility, transparency
• 🌏  Global, diverse backgrounds. Been there, done that.

• CoLearn has grown so much, and you’ve been an important part of the growth. You solved hard problems that many didn’t know existed.
• You’ve led the data science function and laid out the roadmap, implemented best practices, and grown the team. You’ve executed mission-critical projects. Congratulations!
• You’re exploring what Data Science can do for the students, parents, teachers, educators.
• You’ve been speaking at Data Science conferences about the image recognition system we built from scratch. You casually threw in the semantic search engine on slide 77.
• The engineering and product teams are your friends. The teams take cross-functional collaboration, testing, and modeling for granted. It’s their second nature.
• You have an encyclopedic knowledge of CoLearn’s data structures and metrics, and you’ve often provided key ideas for the product.

• Highly-skilled and experienced Data Scientist and leader
• You are interested in creating next-gen data-powered education tech products. 
• You’ve worked in a Data Science role before where you took a data product to market
• You are comfortable working with unknowns, evaluating the data, and applying scientific techniques to business problems and products
• You’ve built platforms and systems from scratch
• You have a track record of developing and deploying data-science models to production

• End-to-end AI/ML systems in the cloud, including data processing, feature engineering, and tuning of ML models in training and production (MLOps) — with both structured and unstructured data.
• Deep Learning and Computer Vision models, ideally in a production environment
• Hands-on Python/SQL, scikit-learn, Keras, PyTorch, Tensorflow, MXnet, etc. 
• Experience in Scala/Java/Go/C/C++ is a plus plus
• Airflow/Luigi/Oozie and the likes
• Familiarity with cloud deployment strategies (AWS/GCP) to deploy at scale

• B.S./B.E./M.S./PhD in a quantitative field such as Computer Science, Engineering, Math, Statistics or equivalent years of experience
• 10+ years of experience in data science, algorithmic engineering, and machine learning. Preferably solved problems from scratch to scale
• Experience in hiring, managing highly-performant teams, and mentoring data science, data engineering, and analytics teams 
• Experience developing a data science strategy, building the roadmap, and leading the execution
• Track record of recruiting talent in analytics and data science

• You’ve won algorithm and machine learning competitions such as ACM and Kaggle
• You have research publications and citations in top tier journals 
• You have a portfolio of side projects and can show it to us