Data Scientist

Responsibilities: 

1.                  Lead the strategic planning, development, and launch of Azure integration capabilities within our flagship product ensuring a seamless and efficient integration process. 

2.                  Conduct market research and engage with customers to understand their needs and challenges related to Azure cloud services. 

3.                  Collaborate with engineering, design, and sales teams to define product requirements, roadmaps, and go-to-market strategies for Azure Launch. 

4.                  Deliver actionable product feature requirements and stories with wireframes (hands-on work is required here) 

5.                  Drive feature delivery to customers and conduct feedback loop based improvements. 

6.                  Stay abreast of Azure services and cloud industry trends to ensure our product remains competitive and innovative. 

Required Experience and Skills: 

·                    Bachelor's degree in computer science, Engineering, Business, or a related field. A master's degree or an MBA would be a plus. 

·                    4+ years of experience in a product management role, ideally in a cloud-based product environment. 

·                    Strong understanding of Azure services, cloud computing technologies, and SaaS platforms. 

·                    Experience building features/ solutions in Cloud Management/Cloud Operations in FinOps, SecOps, Cloud IT Ops. 

·                    Experience with Azure Migration, Azure CloudOps configuration, Managed Services is a plus 

·                    Passion for Automation and simplification of complex IT processes 

·                    Proven track record of managing all aspects of a successful product throughout its lifecycle. 

·                    Excellent communication, leadership, and interpersonal skills. 

·                    Ability to work in a fast-paced, dynamic environment and handle multiple tasks simultaneously. 

·                    Strong problem-solving skills and the ability to thrive in a fast-paced, dynamic startup environment. 

·                    Excellent written and verbal communication skills, with experience in creating customer-facing technical documentation such as user guides and release notes. 

·                    Comfortable with ambiguity and able to prioritize tasks in a rapidly changing environment. 

·                    Demonstrated success in defining and launching products would be a plus. 

Success Factors: 

·                    You bring curiosity and passion for continuous learning. 

·                    You enjoy ideating, simplifying and solving problems that create value for customers. 

·                    You have an entrepreneurial mindset. 

·                    You bring a growth mindset and value collaborative approach to growing others and yourself. 

·                    You have an ownership mindset to areas you take on, and you are a self-starter that can work independently when needed. 

About Slintel (a 6sense company) :

Slintel, a 6sense company,  the leader in capturing technographics-powered buying intent, helps companies uncover the 3% of active buyers in their target market. Slintel evaluates over 100 billion data points and analyzes factors such as buyer journeys, technology adoption patterns, and other digital footprints to deliver market & sales intelligence.

Slintel's customers have access to the buying patterns and contact information of more than 17 million companies and 250 million decision makers across the world.

Slintel is a fast growing B2B SaaS company in the sales and marketing tech space. We are funded by top tier VCs, and going after a billion dollar opportunity. At Slintel, we are building a sales development automation platform that can significantly improve outcomes for sales teams, while reducing the number of hours spent on research and outreach.

We are a big data company and perform deep analysis on technology buying patterns, buyer pain points to understand where buyers are in their journey. Over 100 billion data points are analyzed every week to derive recommendations on where companies should focus their marketing and sales efforts on. Third party intent signals are then clubbed with first party data from CRMs to derive meaningful recommendations on whom to target on any given day.

6sense is headquartered in San Francisco, CA and has 8 office locations across 4 countries.

6sense, an account engagement platform, secured $200 million in a Series E funding round, bringing its total valuation to $5.2 billion 10 months after its $125 million Series D round. The investment was co-led by Blue Owl and MSD Partners, among other new and existing investors.

Linkedin (Slintel) : https://www.linkedin.com/company/slintel/">https://www.linkedin.com/company/slintel/

Industry : Software Development

Company size : 51-200 employees (189 on LinkedIn)

Headquarters : Mountain View, California

Founded : 2016

Specialties : Technographics, lead intelligence, Sales Intelligence, Company Data, and Lead Data.

Website (Slintel) : https://www.slintel.com/slintel">https://www.slintel.com/slintel

Linkedin (6sense) : https://www.linkedin.com/company/6sense/">https://www.linkedin.com/company/6sense/

Industry : Software Development

Company size : 501-1,000 employees (937 on LinkedIn)

Headquarters : San Francisco, California

Founded : 2013

Specialties : Predictive intelligence, Predictive marketing, B2B marketing, and Predictive sales

Website (6sense) : https://6sense.com/">https://6sense.com/

Acquisition News : 

https://inc42.com/buzz/us-based-based-6sense-acquires-b2b-buyer-intelligence-startup-slintel/ 

Funding Details & News :

Slintel funding : https://www.crunchbase.com/organization/slintel">https://www.crunchbase.com/organization/slintel

6sense funding : https://www.crunchbase.com/organization/6sense">https://www.crunchbase.com/organization/6sense

https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round">https://www.nasdaq.com/articles/ai-software-firm-6sense-valued-at-%245.2-bln-after-softbank-joins-funding-round

https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round">https://www.bloomberg.com/news/articles/2022-01-20/6sense-reaches-5-2-billion-value-with-softbank-joining-round

https://xipometer.com/en/company/6sense">https://xipometer.com/en/company/6sense

Slintel & 6sense Customers :

https://www.featuredcustomers.com/vendor/slintel/customers

https://www.featuredcustomers.com/vendor/6sense/customers">https://www.featuredcustomers.com/vendor/6sense/customers

Responsibilities

• Work in collaboration with the application team and integration team to design, create, and maintain optimal data pipeline architecture and data structures for Data Lake/Data Warehouse
• Work with stakeholders including the Sales, Product, and Customer Support teams to assist with data-related technical issues and support their data analytics needs
• Assemble large, complex data sets from third-party vendors to meet business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Elastic search, MongoDB, and AWS technology
• Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems
  
  

Requirements

• 3+ years of experience in a Data Engineer role
• Proficiency in Linux
• Must have SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with databases including Mysql, Mongo, Cassandra, and Athena
• Must have experience with Python/ Scala
• Must have experience with Big Data technologies like Apache Spark
• Must have experience with Apache Airflow
• Experience with data pipeline and ETL tools like AWS Glue
• Experience working with AWS cloud services: EC2 S3 RDS, Redshift and other Data solutions eg. Databricks, Snowflake

Python, SQL, Scala, Spark, ETL

Job Description:

Good Understanding of Fiori Design Guidelines/UI5 framework.

Strong conceptual knowledge of SAPUI5, HTML5, CSS, Java Scripts, JQuery, and MVC architecture.

Should have SAP ABAP/UI5 development experience of 4+ years.

At least hands-on experience in one end-to-end implementation of S4 Hana or Conversion from ECC to S4 HANA.

Good working experience on OO ABAP and RICEF objects (Reports, Interface, Conversions, Enhancements, and Forms).

Experience in OData service development is highly recommended.

Desire Candidate:

• Must have 4+ years of Exp. in Sap ABAP.
• Must have 2+ years of Exp. in FIORI/UI5, S/4Hana and Odata.
• Good to have exp in OOABAP, ALV Reports, Bapi, Badi etc.
• Good communication skills.
• Location – Kolkata

• Plan, manage, and deliver solutions.
• Training, mentoring, and supporting scrum teams to follow agile values, principles, and practices.
• Determining and managing tasks, issues, risks, and action items.
• Scheduling and facilitating scrum events, meetings, and decision-making processes.
• Monitoring progress and performance and helping teams to make improvements.
• Planning and organizing demos and product/system testing.
• Ensuring the proper use of collaborative processes and removing impediments for the scrum team.
• Tracking project processes, deliverables, and financials.
• Preparing and presenting status reports to stakeholders.

• Should have 3 to 5 year’s hands-on experience in testing Desktop & Web Applications. 
• Should have worked on Desktop & Web automation. 
• Automation expertise using Java, Selenium, SikuliX 
• Experience having automated in an Agile environment. 
• Experience with issue tracking tool (JIRA) and reporting tools. 
• Experience with source code management and build tools - Git, SVN, Maven 
• Experience with continuous integration using bamboo/Jenkins.  

Good to have:  

• Strong knowledge of current automation trends. 

  
Skills & tool set: 

• Programming language: Java 
• Automation tool: SikuliX, Selenium 
• Others: Jira, GIT, Maven, Gradle, Bamboo, TestNG, Charles, Fiddler, JIRA, Zephyr.

Job Description :

LOCATION: Bangalore

• Expertise in developing applications on the Microsoft .NET framework.
• C#, ASP.NET MVC, .NET Core, SQL Server, Azure API, ReactJS
• Hands-on experience in .NET Core MVC, Angular/React and SQL Server, Azure
• Experience in writing NUnit test cases and GitHub
• Nice to Have Knowledge on Azure DevOps and Azure API
• Need to have Hands-on development experience

GREETINGS FROM CODEMANTRA !!!

EXCELLENT OPPORTUNITY FOR DATA SCIENCE/AI AND ML ARCHITECT !!!

Skills and Qualifications

*Strong Hands-on experience in Python Programming

*** Working experience with Computer Vision models - Object Detection Model, Image Classification

* Good experience in feature extraction, feature selection techniques and transfer learning

* Working Experience in building deep learning NLP Models for text classification, image analytics-CNN,RNN,LSTM.

* Working Experience in any of the AWS/GCP cloud platforms, exposure in fetching data from various sources.

* Good experience in exploratory data analysis, data visualisation, and other data pre-processing techniques.

* Knowledge in any one of the DL frameworks like Tensorflow, Pytorch, Keras, Caffe Good knowledge in statistics, distribution of data and in supervised and unsupervised machine learning algorithms.

* Exposure to OpenCV Familiarity with GPUs + CUDA Experience with NVIDIA software for cluster management and provisioning such as nvsm, dcgm and DeepOps.

* We are looking for a candidate with 9+ years of relevant experience , who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: *Experience with big data tools: Hadoop, Spark, Kafka, etc.
*Experience with AWS cloud services: EC2, RDS, AWS-Sagemaker(Added advantage)
*Experience with object-oriented/object function scripting languages in any: Python, Java, C++, Scala, etc.

Responsibilities
*Selecting features, building and optimizing classifiers using machine learning techniques
*Data mining using state-of-the-art methods
*Enhancing data collection procedures to include information that is relevant for building analytic systems
*Processing, cleansing, and verifying the integrity of data used for analysis
*Creating automated anomaly detection systems and constant tracking of its performance
*Assemble large, complex data sets that meet functional / non-functional business requirements.
*Secure and manage when needed GPU cluster resources for events
*Write comprehensive internal feedback reports and find opportunities for improvements
*Manage GPU instances/machines to increase the performance and efficiency of the ML/DL model

Regards