Business Development Manager

Responsibilities:

• Design and develop strong analytics system and predictive models
• Managing a team of data scientists, machine learning engineers, and big data specialists
• Identify valuable data sources and automate data collection processes
• Undertake pre-processing 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 seasoned Data Scientist
• Good Experience in data mining processes
• Understanding of machine learning and Knowledge of operations research is a value addition
• Strong understanding and experience in R, SQL, and Python; Knowledge base with Scala, Java, or C++ is an asset
• Experience using business intelligence tools (e. g. Tableau) and data frameworks (e. g. Hadoop)
• Strong math skills (e. g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• Experience in Natural Language Processing (NLP)
• Strong competitive coding skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Job description

1. Candidate must have good communication and soft skills

2. Must have experience in domestic outbound sales.

3. Must have a zeal for acquiring maximum sales

4. Must have good convincing skills

5. Responding to inquiries concerning things or the organization

6. Posing questions to comprehend client necessities and close sales

7.. Acquiring and updating an individual's contact details.

8. Calling active or old customers to encourage the purchase of items.

9. Make calls regarding inbound and outbound sales.

10. Source new sales opportunities through inbound lead follow-up and outbound cold-call

11. Understand customer needs/requirements and pitch course

12. Meeting daily and monthly targets with respect to call volume and sales

Technical-Requirements: 

• Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience. 
• A strong grasp of SQL/Presto and at least one scripting (Python, preferable) or programming language. 
• Experience with an enterprise class BI tools and it's auditing along with automations using REST API's. 
• Experience with reporting tools – QuickSight (preferred, at least 2 years hands on). 
• Tableau/Looker (both or anyone would suffice with at least 5+ years of hands on). 
• 5+ years of experience with and detailed knowledge of data warehouse technical architectures, data modelling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding. 
• 5+ years of demonstrated quantitative and qualitative business intelligence. 
• Experience with significant product analysis based business impact. 
• 4+ years of large IT project delivery for BI oriented projects using agile framework. 
• 2+ years of working with very large data warehousing environment. 
• Experience in designing and delivering cross functional custom reporting solutions. 
• Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders. 
• Proven ability to meet tight deadlines, multi-task, and prioritize workload. 
• A work ethic based on a strong desire to exceed expectations. 
• Strong analytical and challenge process skills.

What you need to have:

• Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
• Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
• Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
• Involving in building and deploying large scale data processing pipelines in a production environment
• Working with data scientists and other engineers to develop data pipelines for model development and productization
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Providing inputs on right tool options and model designs for use cases
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Designing scalable implementations of the models developed by our Data Scientists

Desired Candidate Profile

• 3+ years strong programming experience in PySpark and Python
• Knowledge in Python, SQL, Spark (Pyspark)
• Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
• Analytical and problem-solving skills
• Knowledge in Scrum & code sharing Tech: Git, Jira
• Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
• Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
• Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources    

              Job location: Pune 

              Shift Time- 02pm-11pm 

• Seven years of relevant software development experience
• 3 or more years using data interchange methods, including XML, JSON, RESTful, and SOAP
• 4 or more years of experience developing software in Java, Python that interacts with relational databases
• Two or more years of experience with HTML, HTML5, CSS, JavaScript, and mobile development
• Two or more years of business and systems analysis experience
• Understanding/leveraging Machine Learning algorithms for Projects is a big plus
• Minimum one year of experience in ReactJS/NodeJS.
• Experience working in Projects with Agile principles and methodologies like Scrum Full stack development experience

       Dot Net Developer

1. Should have experience in.Net Core .
2. Should have knowledge in SQL – Intermediate
3. Should have worked on.Net WPF – Intermediate
4. Should have .Net Web Apis – Basic
5. Basic knowledge onAzure Dev Ops (Event Hub & ADF) 
6. .Net C# (for custom libraries) – Intermediate
7. System Platform - Basic 
8. Should have excellent communication skills both verbal and written.
9. Should be comfortable working in UK/US shifts.
10. Excellent interpersonal and customer service skills.
11. Excellent organizational skills and attention to detail.
12. Excellent time management skills with a proven ability to meet deadlines.

Experience : 2-5 Years

Job Location :Pune/Remote
Job Timings : 2:30pm-11:30pm