Data Scientist

We are looking for an exceptionally talented Lead data engineer who has exposure in implementing AWS services to build data pipelines, api integration and designing data warehouse. Candidate with both hands-on and leadership capabilities will be ideal for this position.

Qualification: At least a bachelor’s degree in Science, Engineering, Applied Mathematics. Preferred Masters degree

Job Responsibilities:

• Total 6+ years of experience as a Data Engineer and 2+ years of experience in managing a team

• Have minimum 3 years of AWS Cloud experience.

• Well versed in languages such as Python, PySpark, SQL, NodeJS etc

• Has extensive experience in Spark ecosystem and has worked on both real time and batch processing

• Have experience in AWS Glue, EMR, DMS, Lambda, S3, DynamoDB, Step functions, Airflow, RDS, Aurora etc.

• Experience with modern Database systems such as Redshift, Presto, Hive etc.

• Worked on building data lakes in the past on S3 or Apache Hudi

• Solid understanding of Data Warehousing Concepts

• Good to have experience on tools such as Kafka or Kinesis

• Good to have AWS Developer Associate or Solutions Architect Associate Certification

• Have experience in managing a team

Work Experience : 0-2 years

Responsibilities :

- Design and implement mathematical models for fundamental valuation of securities. The person will need to understand latest research in quantitative finance and implement the same.

- Design, back-testing and implementation of high-frequency trading strategies on international exchanges. Work as part of the market-making team to determine the signals and trading strategies to go live with.

- Conduct performance attribution of live portfolios.

Required Skills :

- Strong candidates should have 0-2 years of work experience and successful track record in quantitative analysis preferably in the capital markets domain.

- Post-Graduate degree in statistics, finance, mathematics, engineering (Computer Science preferred) or other quantitative or computational disciplines

- Experience in using some or all of the following packages: R, MATLAB, SPSS, CART, C# .Net, Python

- Good written and oral communication skills.

- Strong experience working both independently and in a team-oriented collaborative environment.

- Entrepreneurial, self-motivated individual - high energy, high activity levels - passion for working with an innovative, small but rapidly growing company.

We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.

• Medium to Expert level proficiency in either R or Python.
• Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
• Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
• Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
• Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
• Medium-to-Proficient in creating beautiful Tableau dashboards.
• Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
• Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
• Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.

• Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
• Experience of working in the Gaming domain
• Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
• Experience in building and maintaining Data Warehouses in AWS would be a big plus!

• PF and gratuity
• Working 5 days a week
• Paid leaves (CL, SL, EL, ML) and holidays
• Parties, festivals, birthday celebrations, etc
• Equability: absence of favouritism in hiring & promotion

Senior Big Data Engineer 

Note:   Notice Period : 45 days 

Banyan Data Services (BDS) is a US-based data-focused Company that specializes in comprehensive data solutions and services, headquartered in San Jose, California, USA. 

We are looking for a Senior Hadoop Bigdata Engineer who has expertise in solving complex data problems across a big data platform. You will be a part of our development team based out of Bangalore. This team focuses on the most innovative and emerging data infrastructure software and services to support highly scalable and available infrastructure. 

It's a once-in-a-lifetime opportunity to join our rocket ship startup run by a world-class executive team. We are looking for candidates that aspire to be a part of the cutting-edge solutions and services we offer that address next-gen data evolution challenges. 

Key Qualifications

·   5+ years of experience working with Java and Spring technologies

· At least 3 years of programming experience working with Spark on big data; including experience with data profiling and building transformations

· Knowledge of microservices architecture is plus 

· Experience with any NoSQL databases such as HBase, MongoDB, or Cassandra

· Experience with Kafka or any streaming tools

· Knowledge of Scala would be preferable

· Experience with agile application development 

· Exposure of any Cloud Technologies including containers and Kubernetes 

· Demonstrated experience of performing DevOps for platforms 

· Strong Skillsets in Data Structures & Algorithm in using efficient way of code complexity

· Exposure to Graph databases

· Passion for learning new technologies and the ability to do so quickly 

· A Bachelor's degree in a computer-related field or equivalent professional experience is required

Key Responsibilities

· Scope and deliver solutions with the ability to design solutions independently based on high-level architecture

· Design and develop the big data-focused micro-Services

· Involve in big data infrastructure, distributed systems, data modeling, and query processing

· Build software with cutting-edge technologies on cloud

· Willing to learn new technologies and research-orientated projects 

· Proven interpersonal skills while contributing to team effort by accomplishing related results as needed 

Hi All,

We are hiring Data Engineer for one of our client for Bangalore & Chennai Location.


Strong Knowledge of SCCM, App V, and Intune infrastructure.

Powershell/VBScript/Python,

Windows Installer

Knowledge of Windows 10 registry

Application Repackaging

Application Sequencing with App-v

Deploying and troubleshooting applications, packages, and Task Sequences.

Security patch deployment and remediation

Windows operating system patching and defender updates

Thanks,
Mohan.G

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics

Top MNC looking for candidates on Business Analytics(4-8 Years Experience).

Requirement :

- Experience in metric development & Business analytics

- High Data Skill Proficiency/Statistical Skills

- Tools: R, SQL, Python, Advanced Excel

- Good verbal/communication Skills 

- Supply Chain domain knowledge

*Job Summary*

Duration: 6months contract based at Hyderabad

Availability: 1 week/Immediate

Qualification: Graduate/PG from Reputed University

*Key Skills*

R, SQL, Advanced Excel, Python

*Required Experience and Qualifications*

5 to 8 years of Business Analytics experience.