Data Scientist

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience

Graas uses predictive AI to turbo-charge growth for eCommerce businesses. We are “Growth-as-a-Service”. Graas is a technology solution provider using predictive AI to turbo-charge growth for eCommerce businesses. Graas integrates traditional data silos and applies a machine-learning AI engine, acting as an in-house data scientist to predict trends and give real-time insights and actionable recommendations for brands. The platform can also turn insights into action by seamlessly executing these recommendations across marketplace store fronts, brand.coms, social and conversational commerce, performance marketing, inventory management, warehousing, and last mile logistics - all of which impacts a brand’s bottom line, driving profitable growth.

Roles & Responsibilities:

Work on implementation of real-time and batch data pipelines for disparate data sources.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
• Build and maintain an analytics layer that utilizes the underlying data to generate dashboards and provide actionable insights.
• Identify improvement areas in the current data system and implement optimizations.
• Work on specific areas of data governance including metadata management and data quality management.
• Participate in discussions with Product Management and Business stakeholders to understand functional requirements and interact with other cross-functional teams as needed to develop, test, and release features.
• Develop Proof-of-Concepts to validate new technology solutions or advancements.
• Work in an Agile Scrum team and help with planning, scoping and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
• Work on building intelligent systems using various AI/ML algorithms. 

Desired Experience/Skill:

• Must have worked on Analytics Applications involving Data Lakes, Data Warehouses and Reporting Implementations.
• Experience with private and public cloud architectures with pros/cons.
• Ability to write robust code in Python and SQL for data processing. Experience in libraries such as Pandas is a must; knowledge of one of the frameworks such as Django or Flask is a plus.
• Experience in implementing data processing pipelines using AWS services: Kinesis, Lambda, Redshift/Snowflake, RDS.
• Knowledge of Kafka, Redis is preferred
• Experience on design and implementation of real-time and batch pipelines. Knowledge of Airflow is preferred.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

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

About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 

We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.

At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  

We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?

About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)

• Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
• Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
• Implements performance optimizations and best practices for scalable data models, pipelines and modelling
• Resolve blockers and help the team stay productive
• Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)

• 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
• Strong experience in python, SQL and in-depth understanding of modelling techniques
• Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
• Prior experience with credit risk modelling will be preferred
• Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)

• Expand access to data driven decision making across the organization
• Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

• Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
• Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.

Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

This person MUST have:

• B.E Computer Science or equivalent
• 5 years experience with the Django framework
• Experience with building APIs (REST or GraphQL) 
• Strong Troubleshooting and debugging skills
• React.js knowledge would be an added bonus 
• Understanding on how to use a database like Postgres (prefered choice), SQLite, MongoDB, MySQL.
• Sound knowledge of object-oriented design and analysis.
• A strong passion for writing simple, clean and efficient code.
• Proficient understanding of code versioning tools Git.
• Strong communication skills.

Experience:

• Min 5 year experience
• Startup experience is a must. 

Location:

• Remote developer

Timings:

• 40 hours a week but with 4 hours a day overlapping with client timezone.  Typically clients are in California PST Timezone.

Position:

• Full time/Direct
• We have great benefits such as PF, medical insurance, 12 annual company holidays, 12 PTO leaves per year, annual increments, Diwali bonus, spot bonuses and other incentives etc.
• We dont believe in locking in people with large notice periods.  You will stay here because you love the company.  We have only a 15 days notice period.

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 2+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
• strong quantitative and programming skills with a product-driven sensibility