11+ Stackless Python Jobs in India
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R ProgrammingWe are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company.
We will rely on you to build data products to extract valuable business insights.
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem-solving skills are essential for interpreting data.
We also want to see a passion for machine-learning and research.
Your goal will be to help our company analyze trends to make better decisions.
Responsibilities:
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Requirements:
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of SQL,Python,R,ggplot2, matplotlib, seaborn, Shiny, Dash; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. Tableau) and data frameworks
- Analytical mind and business acumen
- Strong math skills in statistics, algebra
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BE in Computer Science, Engineering or relevant field;
- graduate degree in Data Science or other quantitative field is preferred
- Extensive exposure to at least one Business Intelligence Platform (if possible, QlikView/Qlik Sense) – if not Qlik, ETL tool knowledge, ex- Informatica/Talend
- At least 1 Data Query language – SQL/Python
- Experience in creating breakthrough visualizations
- Understanding of RDMS, Data Architecture/Schemas, Data Integrations, Data Models and Data Flows is a must
Machine Learning (ML)
Data Science
Deep Learning
PythonSkills: Machine Learning,Deep Learning,Artificial Intelligence,python.
Location:Chennai
Domain knowledge: Data cleaning, modelling, analytics, statistics, machine learning, AI
Requirements:
· To be part of Digital Manufacturing and Industrie 4.0 projects across Saint Gobain group of companies
· Design and develop AI//ML models to be deployed across SG factories
· Knowledge on Hadoop, Apache Spark, MapReduce, Scala, Python programming, SQL and NoSQL databases is required
· Should be strong in statistics, data analysis, data modelling, machine learning techniques and Neural Networks
· Prior experience in developing AI and ML models is required
· Experience with data from the Manufacturing Industry would be a plus
Roles and Responsibilities:
· Develop AI and ML models for the Manufacturing Industry with a focus on Energy, Asset Performance Optimization and Logistics
· Multitasking, good communication necessary
· Entrepreneurial attitude.
Python
Data AnalyticsDATA ANALYST
About:
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We allows customers to "buy now and pay later" for goods and services purchased online and offline portals. It's a rapidly growing organization opening up new avenues of payments for online and offline customers. |
Role:
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Define and continuously refine the analytics roadmap. Build, Deploy and Maintain the data infrastructure that supports all of the analysis, including the data warehouse and various data marts Build, deploy and maintain the predictive models and scoring infrastructure that powers critical decision management systems. Strive to devise ways to gather more alternate data and build increasingly enhanced predictive models Partner with business teams to systematically design experiments to continuously improve customer acquisition, minimize churn, reduce delinquency and improve profitability Provide data insights to all business teams through automated queries, MIS, etc. |
Requirements:
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4+ years of deep, hands-on analytics experience in a management consulting, start-up or financial services, or fintech company. Should have strong knowledge in SQL and Python. Deep knowledge of problem-solving approach using analytical frameworks. Deep knowledge of frameworks for data management, deployment, and monitoring of performance metrics. Hands-on exposure to delivering improvements through test and learn methodologies. Excellent communication and interpersonal skills, with the ability to be pleasantly persistent. |
Location-MUMBAI
Python
ScalaJob Description:
As an Azure Data Engineer, your role will involve designing, developing, and maintaining data solutions on the Azure platform. You will be responsible for building and optimizing data pipelines, ensuring data quality and reliability, and implementing data processing and transformation logic. Your expertise in Azure Databricks, Python, SQL, Azure Data Factory (ADF), PySpark, and Scala will be essential for performing the following key responsibilities:
Designing and developing data pipelines: You will design and implement scalable and efficient data pipelines using Azure Databricks, PySpark, and Scala. This includes data ingestion, data transformation, and data loading processes.
Data modeling and database design: You will design and implement data models to support efficient data storage, retrieval, and analysis. This may involve working with relational databases, data lakes, or other storage solutions on the Azure platform.
Data integration and orchestration: You will leverage Azure Data Factory (ADF) to orchestrate data integration workflows and manage data movement across various data sources and targets. This includes scheduling and monitoring data pipelines.
Data quality and governance: You will implement data quality checks, validation rules, and data governance processes to ensure data accuracy, consistency, and compliance with relevant regulations and standards.
Performance optimization: You will optimize data pipelines and queries to improve overall system performance and reduce processing time. This may involve tuning SQL queries, optimizing data transformation logic, and leveraging caching techniques.
Monitoring and troubleshooting: You will monitor data pipelines, identify performance bottlenecks, and troubleshoot issues related to data ingestion, processing, and transformation. You will work closely with cross-functional teams to resolve data-related problems.
Documentation and collaboration: You will document data pipelines, data flows, and data transformation processes. You will collaborate with data scientists, analysts, and other stakeholders to understand their data requirements and provide data engineering support.
Skills and Qualifications:
Strong experience with Azure Databricks, Python, SQL, ADF, PySpark, and Scala.
Proficiency in designing and developing data pipelines and ETL processes.
Solid understanding of data modeling concepts and database design principles.
Familiarity with data integration and orchestration using Azure Data Factory.
Knowledge of data quality management and data governance practices.
Experience with performance tuning and optimization of data pipelines.
Strong problem-solving and troubleshooting skills related to data engineering.
Excellent collaboration and communication skills to work effectively in cross-functional teams.
Understanding of cloud computing principles and experience with Azure services.
Data AnalyticsAbout our Client :-
Our Client is a global data and measurement-driven media agency whose mission is to make brands more valuable to the world. Clients include Google, Flipkart, NBCUniversal, L'Oréal and the Financial Times. The agency is more than 2,000 people strong, manages $4.5B in annualized media spend, and deploys campaigns in 121 markets via 22 offices in APAC, EMEA and the Americas.
About the role :-
Accountable for quantifying and measuring the success of our paid media campaigns and for delivering insights that enable us to innovate the work we deliver at MFG. Leading multi-product projects, developing best practices, being the main point of contact for other teams and direct line management for multiple team members.
Some of the things we’d like you to do -
● Build a deep understanding of marketing plans and their objectives to help Account teams (Activation, Planning, etc) build comprehensive measurement, and test & learn plans
● Play an instrumental role in evolving and designing new, innovative measurement tools. Managing the process through to delivery and take ownership of global roll out
● Recruit, manage and mentor analytical resource(s), ensuring the efficient flow of work through the team, the timely delivery of high-quality outputs and their continuing development as professionals
● Lead the creation of clear, robust and thought-provoking campaign reviews and insights
● Work with Account teams (Activation, Planning, etc) to help define the correct questions to understand correct metrics for quantifying campaign performance
● To help deliver “best in class” analytical capabilities across the agency with the wider Analytics team, including the use of new methods, techniques, tools and systems
● Develop innovative marketing campaigns and assist clients to define objectives
● Develop deep understanding of marketing platform testing and targeting abilities, and act in a consultative capacity in their implementation
● Provide hands-on leadership, mentorship, and coaching in the expert delivery of data strategies, AdTech solutions, audiences solutions and data management solutions to our clients
● Leading stakeholder management on certain areas of the client portfolio
● Coordination and communication with 3rd party vendors to critically assess new/bespoke measurement solutions. Includes development and management of contracts and SOWs.
A bit about yourself -
● 8+ years of experience in a data & insight role; practical experience on how analytical techniques/models are used in marketing. Previous agency, media, or consultancy background is desirable.
● A proven track record in working with a diverse array of clients to solve complex problems and delivering demonstrable business success. Including (but not limited to) the development of compelling and sophisticated data strategies and AdTech / martech strategies to enable
marketing objectives.
● Ideally you have worked with Ad Platforms, DMPs, CDPs, Clean Rooms, Measurement Platforms, Business Intelligence Tools, Data Warehousing and Big Data Solutions to some degree
● 3+ years of management experience and ability to delegate effectively
● Proficiency with systems such as SQL, Social Analytics tools, Python, and ‘R’
● Understand measurement for both Direct Response and Brand Awareness campaigns desired
● Excellent at building and presenting data in a visually engaging and insightful manner that cuts through the noise
● Strong organizational and project management skills including team resourcing
● Strong understanding of what data points can be collected and analyzed in a digital campaign, and how each data point should be analyzed
● Established and professional communication, presentation, and motivational skills
Data AnalyticsPythonRequired Experience
· 3+ years of relevant technical experience as a data analyst role
· Intermediate / expert skills with SQL and basic statistics
· Experience in Advance SQL
· Python programming- Added advantage
· Strong problem solving and structuring skills
· Automation in connecting various sources to the data and representing it through various dashboards
· Excellent with Numbers and communicate data points through various reports/templates
· Ability to communicate effectively internally and outside Data Analytics team
· Proactively take up work responsibilities and take adhocs as and when needed
· Ability and desire to take ownership of and initiative for analysis; from requirements clarification to deliverable
· Strong technical communication skills; both written and verbal
· Ability to understand and articulate the "big picture" and simplify complex ideas
· Ability to identify and learn applicable new techniques independently as needed
· Must have worked with various Databases (Relational and Non-Relational) and ETL processes
· Must have experience in handling large volume and data and adhere to optimization and performance standards
· Should have the ability to analyse and provide relationship views of the data from different angles
· Must have excellent Communication skills (written and oral).
· Knowing Data Science is an added advantage
Required Skills
MYSQL, Advanced Excel, Tableau, Reporting and dashboards, MS office, VBA, Analytical skills
Preferred Experience
· Strong understanding of relational database MY SQL etc.
· Prior experience working remotely full-time
· Prior Experience working in Advance SQL
· Experience with one or more BI tools, such as Superset, Tableau etc.
· High level of logical and mathematical ability in Problem Solving
Data ScienceData AnalyticsR ProgrammingPythonWhat you will do:
- Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria
- Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product
- Back-testing investment appraisal models at regular intervals to improve the same
- Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals
- Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle
- Identifying relevant sub-sector criteria to score and rate investment opportunities internally
Desired Candidate Profile
What you need to have:
- Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory)
- Experience in working in lending/investing fintech (mandatory)
- Strong Excel skills (mandatory)
- Previous experience in credit rating or credit scoring or investment analysis (preferred)
- Prior exposure to working on data-led models on payment gateways or accounting systems (preferred)
- Proficiency in data analysis (preferred)
- Good verbal and written skills
Data AnalyticsPython|
About Us |
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upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.
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- Data Steward :
Data Steward will collaborate and work closely within the group software engineering and business division. Data Steward has overall accountability for the group's / Divisions overall data and reporting posture by responsibly managing data assets, data lineage, and data access, supporting sound data analysis. This role requires focus on data strategy, execution, and support for projects, programs, application enhancements, and production data fixes. Makes well-thought-out decisions on complex or ambiguous data issues and establishes the data stewardship and information management strategy and direction for the group. Effectively communicates to individuals at various levels of the technical and business communities. This individual will become part of the corporate Data Quality and Data management/entity resolution team supporting various systems across the board.
Primary Responsibilities:
- Responsible for data quality and data accuracy across all group/division delivery initiatives.
- Responsible for data analysis, data profiling, data modeling, and data mapping capabilities.
- Responsible for reviewing and governing data queries and DML.
- Accountable for the assessment, delivery, quality, accuracy, and tracking of any production data fixes.
- Accountable for the performance, quality, and alignment to requirements for all data query design and development.
- Responsible for defining standards and best practices for data analysis, modeling, and queries.
- Responsible for understanding end-to-end data flows and identifying data dependencies in support of delivery, release, and change management.
- Responsible for the development and maintenance of an enterprise data dictionary that is aligned to data assets and the business glossary for the group responsible for the definition and maintenance of the group's data landscape including overlays with the technology landscape, end-to-end data flow/transformations, and data lineage.
- Responsible for rationalizing the group's reporting posture through the definition and maintenance of a reporting strategy and roadmap.
- Partners with the data governance team to ensure data solutions adhere to the organization’s data principles and guidelines.
- Owns group's data assets including reports, data warehouse, etc.
- Understand customer business use cases and be able to translate them to technical specifications and vision on how to implement a solution.
- Accountable for defining the performance tuning needs for all group data assets and managing the implementation of those requirements within the context of group initiatives as well as steady-state production.
- Partners with others in test data management and masking strategies and the creation of a reusable test data repository.
- Responsible for solving data-related issues and communicating resolutions with other solution domains.
- Actively and consistently support all efforts to simplify and enhance the Clinical Trial Predication use cases.
- Apply knowledge in analytic and statistical algorithms to help customers explore methods to improve their business.
- Contribute toward analytical research projects through all stages including concept formulation, determination of appropriate statistical methodology, data manipulation, research evaluation, and final research report.
- Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders.
- Achieve defined project goals within customer deadlines; proactively communicate status and escalate issues as needed.
Additional Responsibilities:
- Strong understanding of the Software Development Life Cycle (SDLC) with Agile Methodologies
- Knowledge and understanding of industry-standard/best practices requirements gathering methodologies.
- Knowledge and understanding of Information Technology systems and software development.
- Experience with data modeling and test data management tools.
- Experience in the data integration project • Good problem solving & decision-making skills.
- Good communication skills within the team, site, and with the customer
Knowledge, Skills and Abilities
- Technical expertise in data architecture principles and design aspects of various DBMS and reporting concepts.
- Solid understanding of key DBMS platforms like SQL Server, Azure SQL
- Results-oriented, diligent, and works with a sense of urgency. Assertive, responsible for his/her own work (self-directed), have a strong affinity for defining work in deliverables, and be willing to commit to deadlines.
- Experience in MDM tools like MS DQ, SAS DM Studio, Tamr, Profisee, Reltio etc.
- Experience in Report and Dashboard development
- Statistical and Machine Learning models
- Python (sklearn, numpy, pandas, genism)
- Nice to Have:
- 1yr of ETL experience
- Natural Language Processing
- Neural networks and Deep learning
- xperience in keras,tensorflow,spacy, nltk, LightGBM python library
Interaction : Frequently interacts with subordinate supervisors.
Education : Bachelor’s degree, preferably in Computer Science, B.E or other quantitative field related to the area of assignment. Professional certification related to the area of assignment may be required
Experience : 7 years of Pharmaceutical /Biotech/life sciences experience, 5 years of Clinical Trials experience and knowledge, Excellent Documentation, Communication, and Presentation Skills including PowerPoint
JavaScalabachelor’s degree or equivalent experience
● Knowledge of database fundamentals and fluency in advanced SQL, including concepts
such as windowing functions
● Knowledge of popular scripting languages for data processing such as Python, as well as
familiarity with common frameworks such as Pandas
● Experience building streaming ETL pipelines with tools such as Apache Flink, Apache
Beam, Google Cloud Dataflow, DBT and equivalents
● Experience building batch ETL pipelines with tools such as Apache Airflow, Spark, DBT, or
custom scripts
● Experience working with messaging systems such as Apache Kafka (and hosted
equivalents such as Amazon MSK), Apache Pulsar
● Familiarity with BI applications such as Tableau, Looker, or Superset
● Hands on coding experience in Java or Scala
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