16+ NumPy Jobs in Bangalore (Bengaluru) | NumPy Job openings in Bangalore (Bengaluru)

About CK-12 Foundation

CK-12’s Mission:

To provide free access to open-source content and technology tools that empower students as well as teachers to enhance and experiment with different learning styles, resources, levels of competence, and circumstances.

Vision

We at CK-12 are challenging the traditional model of education to transform it dramatically. Technology has opened up many opportunities to revolutionize education for the benefit of students, teachers, and parents.

Non-Profit Status

We have chosen to be non-profit so that we can effectively realize our mission and do the right thing! It also provides us with the ability to experiment with big and bold ideas. CK-12 is backed by Vinod Khosla, a renowned technology venture capitalist.

Work Environment

At CK-12, you’ll experience the benefits of working in a dynamic, entrepreneurial, innovative, and non-bureaucratic environment where you will get a lot of cool things done than you ever imagined! We are a small group of passionate folks who are determined to disrupt the current form of education. We came together from companies such as Apple, Amazon, McGraw-Hill, and startups.

Technology Focus

Technology is key to scaling education, and we deeply believe in it. Come develop great solutions on our AI-first platform delivering rich and interactive content.

Latest Product Offering

Check out our latest product offering:  

Flexi 2.0

- Flexi, our AI-powered Student Tutor: [Flexi](http://www.ck12.org/flexi)

- AI-powered Teacher Assistant: [Teacher Assistant](https://www.ck12.org/pages/teacher-assistant/)

Benefits

- Comprehensive Medical and Accident Insurance

- Complimentary lunch orders

Data Science Engineer

As a Data Science Engineer, you will work closely with our product and engineering teams to develop and implement data-driven solutions that drive product growth. You will be responsible for data collection, preprocessing, analysis, and visualization, providing insights that inform product development and strategy. This role offers an excellent opportunity to develop your skills in data science and engineering while contributing to impactful projects in the education technology space.

Scope

- Collect, clean, and preprocess data from various sources.

- Assist in the development and implementation of data models and algorithms.

- Conduct exploratory data analysis and generate insights.

- Create and maintain data visualizations and dashboards to communicate findings with the team and stakeholders.

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

- Support the deployment and monitoring of machine learning models in production.

- Document processes, methodologies, and findings.

Requirements

- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

- Strong programming skills in Python or R.

- Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).

- Familiarity with querying and optimizing SQL and NoSQL databases (Redshift, Mongo, Elasticsearch, etc.)

- Basic understanding of machine learning concepts and algorithms.

- Excellent problem-solving and analytical skills.

- Strong communication skills and the ability to work effectively in a team environment.

- Eagerness to learn and adapt to new technologies and methodologies.

Skills

- Experience with data visualization tools (e.g., Tableau, Hevodata, Elasticsearch, Power BI, Matplotlib, Jupyter notebooks).

- Knowledge of big data technologies (e.g., Hadoop, Spark).

- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).

- Previous internship or project experience in data science or a related field.

We are looking for a Quant Analyst Intern for our Bangalore office. This role will be responsible for aspects of our trading infrastructure that support our trading operations and feed our research.

You will collaborate with experienced colleagues to build new technology. Your work will integrate the best new network and compute technologies with our internally developed hardware and software to operate our industry leading trading system architecture.

A Quant Analyst Intern might work on projects in areas such as: market access, monitoring and compliance, algo/strategy evaluation and management, performance tuning, and trading automation. You will be working on a tight knit, highly productive team. You'll be charged with designing new systems that impact the whole company, debugging mission critical software in high pressure fast paced environments, This group churns through large amounts of code daily. As a Trading Algorithm Developer, you'll be expected to establish a deep knowledge of Python, SQL, Excel, Power BI, machine learning (deep learning in particular), Quantitative Finance , and algorithm design.

Responsibilities:

• Perform quantitative analysis on large datasets to identify trends, patterns, and insights.

• Utilize statistical techniques and modeling to extract meaningful information from data

• Assist in the development and validation of quantitative models for various purposes such as risk assessment, pricing, and forecasting

• Collaborate with senior analysts and researchers to refine and improve existing models

• Prepare reports and presentations summarizing analysis findings and insights

• Conduct testing and validation of models to ensure accuracy, reliability, and compliance with regulatory standards

• Excellent problem-solving skills with the ability to approach complex problems in a logical and systematic manner

• Ability to effectively communicate technical concepts to both technical and non technical audiences

• Communicate results to team members and stakeholders in a clear and concise manner

• Strong attention to detail and accuracy in analysis and documentation • Ability to identify and correct errors in data and analysis results

• Ability to work effectively in a team environment, collaborating with colleagues from diverse backgrounds and disciplines

Requirements:

• 0-6 month experience working with Python in a professional production environment

• Knowledge of Analytics tools - SQL , Excel , Power BI

• In depth knowledge of Python Libraries - Pandas , Numpy, Plotly etc

• Familiarity with IDE like Jupyter Notebook and VS Code

• Highly collaborative in nature, with excellent written and verbal communication skills

• Familiarity of AWS, Linux, Devops is strongly preferred, but not required

• Familiarity with the trading domain and finance is strongly preferred, but not required

• Proven ability to communicate with less technical users to understand requirements and design and implement appropriate solutions

• Bachelor’s degree in Computer Science, Data Science, Math or equivalent

• High level of ownership and accountability, reliability, and strong follow

We are seeking a highly analytical and detail-oriented Quantitative Data Analyst to join our team. In this role, you will be responsible for analysing large datasets consisting of backtested time series data for various trading instruments and strategy portfolios. Your insights and findings will play a crucial role in informing our investment decisions and strategy development.

Responsibilities:

1. Data Analysis and Modeling:

a. Analyse extensive backtested time series data for a wide range of financial instruments and trading strategies

b. Develop and implement quantitative models to identify patterns, trends, and anomalies within the data

c. Conduct statistical analysis, including hypothesis testing, regression analysis, and time series forecasting

d. Validate and interpret the results of quantitative models, ensuring accuracy and reliability

2. Performance Evaluation:

a. Evaluate the performance of various trading strategies and portfolios using industry-standard metrics (e.g., Sharpe ratio, drawdowns, risk-adjusted returns)

b. Conduct attribution analysis to identify the key drivers of performance and risk factors

c. Investigate the behaviour of strategies under different market conditions and stress scenarios

3. Data Visualization and Reporting:

a. Create insightful visualisations and dashboards to effectively communicate complex data analysis results to management and investment teams

b. Prepare clear and concise reports summarising key findings, insights, and recommendations based on the data analysis

c. Collaborate with portfolio managers, researchers, and other stakeholders to understand their analytical needs and tailor analyses accordingly

4. Continuous Improvement:

a. Stay up-to-date with the latest developments in quantitative finance, data analysis techniques, and industry best practices

b. Identify opportunities for process optimization and workflow improvements to enhance efficiency and accuracy

c. Participate in the development and refinement of in-house analytical tools and libraries.

Qualifications:

1. Education: Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or a related discipline.

2. Experience: Minimum of 2-5 years of experience in quantitative data analysis, preferably within the financial or investment domain.

3. Technical Skills:

a. Strong proficiency in programming languages such as Python, R, or MATLAB

b. Expertise in data manipulation, statistical modelling, and time series analysis using libraries like pandas, NumPy, SciPy, and scikit-learn

c. Experience with data visualisation tools (e.g., Matplotlib, Plotly, Bokeh, Tableau)

d. Familiarity with SQL and database management systems e. Knowledge of financial instruments, trading strategies, and portfolio construction principles is a plus.

4. Analytical and Problem-Solving Skills: Exceptional analytical and quantitative reasoning abilities, with a talent for identifying patterns and extracting meaningful insights from complex datasets.

5. Communication Skills: Ability to effectively communicate technical concepts and analysis results to both technical and non-technical audiences.

6. Attention to Detail: Meticulous approach to data analysis, with a keen eye for accuracy and precision.

CTC Budget: 35-55LPA

Location: Hyderabad (Remote after 3 months WFO)

Company Overview:

An 8-year-old IT Services and consulting company based in Hyderabad providing services in maximizing product value while delivering rapid incremental innovation, possessing extensive SaaS company M&A experience including 20+ closed transactions on both the buy and sell sides. They have over 100 employees and looking to grow the team.

• 6 plus years of experience as a Python developer.
• Experience in web development using Python and Django Framework.
• Experience in Data Analysis and Data Science using Pandas, Numpy and Scifi-Kit - (GTH)
• Experience in developing User Interface using HTML, JavaScript, CSS.
• Experience in server-side templating languages including Jinja 2 and Mako
• Knowledge into Kafka and RabitMQ (GTH)
• Experience into Docker, Git and AWS
• Ability to integrate multiple data sources into a single system.
• Ability to collaborate on projects and work independently when required.
• DB (MySQL, Postgress, SQL)

Selection Process: 2-3 Interview rounds (Tech, VP, Client)

·      4+ years of experience as a Python Developer.

·      Good Understanding of Object-Oriented Concepts and Solid principles.

·      Good Understanding in Programming and analytical skills.

·      Should have hands on experience in AWS Cloud Service like S3, Lambda functions Knowledge. (Must Have)

·      Should have experience Working with large datasets (Must Have)

·      Proficient in using NumPy, Pandas. (Must Have)

·      Should have hands on experience on Mysql (Must Have)

·      Should have experience in debugging Python applications (Must have)

·      Knowledge of working on Flask.

·      Knowledge of object-relational mapping (ORM).

·      Able to integrate multiple data sources and databases into one system

·      Proficient understanding of code versioning tools such as Git, SVN

·      Strong at problem-solving and logical abilities

·      Sound knowledge of Front-end technologies like HTML5, CSS3, and JavaScript 

·      Strong commitment and desire to learn and grow.

Data Scientist

Cubera is a data company revolutionizing big data analytics and Adtech through data share value principles wherein the users entrust their data to us. We refine the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards web3.

What you’ll do?

• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation, and serving.
• Research new and innovative machine learning approaches.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase Ad Traffic and Campaign Efficacy.
• Collaborate with other data scientists, data engineers, product managers, and business stakeholders to build well-crafted, pragmatic data products.  
• Actively take on new projects and constantly try to improve the existing models and infrastructure necessary for offline and online experimentation and iteration.
• Work with your team on ambiguous problem areas in existing or new ML initiatives

What are we looking for?

• Ability to write a SQL query to pull the data you need.
• Fluency in Python and familiarity with its scientific stack such as numpy, pandas, scikit learn, matplotlib.
• Experience in Tensorflow and/or R Modelling and/or PyTorch
• Ability to understand a business problem and translate, and structure it into a data science problem. 

Job Category: Data Science

Job Type: Full Time

Job Location: Bangalore

Job Profile: The job profile requires an inter-disciplinary approach to solving technical problems whilst also understanding the business requirements. Knowledge of the power and energy sector and a strong interest in solving national and global energy challenges is a must. This position will involve:

• Developing and maintaining SaaS products for the power and energy sector.
• Working with team members to handle day to day operations and product management tasks.
• Applying Machine Learning techniques to power and energy related data sets. 
• Identification and characterization of complex relationships between multiple weather parameters and renewable energy generation.
• Providing inputs for new product development and improvements to existing products and services.

Requirements:

• Educational Qualification: B.Tech/B.E. Electrical and Electronics Engineering/Software Engineering/Mathematics and Computer Science.
• 1-2 years experience writing code independently in any object oriented programming language. Knowledge of python and its packages is highly preferable (numpy, pandas, keras, OpenCV, sci-kit). 
• Demonstrable experience of project work (academic/internship/job) 
• Ability to work on broad objectives and go from business requirements to code independently. 
• Ability to work independently under minimal supervision and in a team; 
• Preferable to have some understanding of power systems concepts (Power Generation Technologies, Transmission and Distribution, Load Flow, Renewable Energy Generation, etc.)
• Experience working with large data sets and manipulating data to find relationships between variables. 

What we look for: 

We are looking for an associate who will be doing data crunching from various sources and finding the key points from the data. Also help us to improve/build new pipelines as per the requests. Also, this associate will be helping us to visualize the data if required and find flaws in our existing algorithms. 

Responsibilities: 

• Work with multiple stakeholders to gather the requirements of data or analysis and take action on them. 
• Write new data pipelines and maintain the existing pipelines. 
• Person will be gathering data from various DB’s and will be finding the required metrics out of it. 

Required Skills: 

• Experience with python and Libraries like Pandas,and Numpy. 
• Experience in SQL and understanding of NoSQL DB’s. 
• Hands-on experience in Data engineering. 
• Must have good analytical skills and knowledge of statistics. 
• Understanding of Data Science concepts. 
• Bachelor degree in Computer Science or related field. 
• Problem-solving skills and ability to work under pressure. 

Nice to have: 

• Experience in MongoDB or any NoSql DB. 
• Experience in ElasticSearch. 
• Knowledge of Tableau, Power BI or any other visualization tool.

Job Title : Analyst / Sr. Analyst – Data Science Developer - Python

Exp : 2 to 5 yrs

Loc : B’lore / Hyd / Chennai

NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.

• Writing efficient, reusable, testable, and scalable code
• Understanding, analyzing, and implementing – Business needs, feature modification requests, conversion into software components
• Integration of user-oriented elements into different applications, data storage solutions
• Developing – Backend components to enhance performance and receptiveness, server-side logic, and platform, statistical learning models, highly responsive web applications
• Designing and implementing – High availability and low latency applications, data protection and security features
• Performance tuning and automation of application
• Working with Python libraries like Pandas, NumPy, etc.
• Creating predictive models for AI and ML-based features
• Keeping abreast with the latest technology and trends
• Fine-tune and develop AI/ML-based algorithms based on results

Good proficiency in,

• Python frameworks like Django, etc.
• Web frameworks and RESTful APIs
• Core Python fundamentals and programming
• Code packaging, release, and deployment
• Database knowledge
• Circles, conditional and control statements
• Object-relational mapping
• Code versioning tools like Git, Bitbucket

Fundamental understanding of,

• Front-end technologies like JS, CSS3 and HTML5
• AI, ML, Deep Learning, Version Control, Neural networking
• Data visualization, statistics, data analytics
• Design principles that are executable for a scalable app
• Creating predictive models
• Libraries like Tensorflow, Scikit-learn, etc
• Multi-process architecture
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system
• Basic knowledge about Object Relational Mapper libraries
• Ability to integrate databases and various data sources into a unified system

PYTHON, SQL, TensorFlow, NumPy, SciPy, Pandas

• Does analytics to extract insights from raw historical data of the organization. 
• Generates usable training dataset for any/all MV projects with the help of Annotators, if needed.
• Analyses user trends, and identifies their biggest bottlenecks in Hammoq Workflow.
• Tests the short/long term impact of productized MV models on those trends.
• Skills - Numpy, Pandas, SPARK, APACHE SPARK, PYSPARK, ETL mandatory. 

• In-depth knowledge in Core Python with Django building end to endapplications development.
• Experience in Web technologies-HTML, CSS, Javascript.

• Database - SQL Server/Postgres/ NoSQL database.
  
  
• Good understanding of Algorithms, data structures.
• Knowledge in ORM (Object Relational Mapper) libraries.
  
  
• Experience in integrating multiple data sources and databases into onesystem.
  
  
• Knowledge in REST / SOAP API
• Knowledge in version control tools like Git
• Experience with various cloud technologies.