Data Engineering Manager

Data Scientist

We are a growing startup in the healthcare space, our business model has been mostly unexplored and that is exciting! 

Our company decisions are heavily guided by insights we get from data.  So this position is key and core to our business growth.  You can make a real impact.  We are looking for a data scientist who is passionate about contributing to the growth of MyYogaTeacher and propelling the company to newer heights. 

We encourage you to spend some time browsing through content on our website  myyogateacher.com  and maybe even sign up for our service and try it out! 

As a Data Scientist, you’ll

• Help collect data from a variety of sources - decipher and address quality of data, filter and cleanse data, identify missing data
• Help measure, transform and  organize data into readily usable formats for reporting and further analysis
• Develop and implement analytical databases and data collection systems
• Analyze data in meaningful ways.  Use statistical methods and data mining algorithms to analyze data and generate useful insights and reports
• Develop recommendation engines in a variety of areas
• Identify and recommend new ways to optimize and streamline data collection processes
• Collaborate with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance

You are qualified if:

• You’re a Bachelor and/or Master in Mathematics, Statistics,  Computer Engineering, Data Science,  Data Analytics or Data Mining
• 3+ years experience in a data analyst role
• 3+ years’ of data mining and machine learning experience
• Great understanding of databases such as MySQL, and Amazon Redshift and are very adept at SQL 
• Good knowledge of No SQL databases such as Mongo DB and ClickHouse
• Understanding of scripts such as XML, Javascript, JSON
• Knowledge of programming languages like SQL, Oracle, R, and MATLAB. Proficient in Python and Shell scripting
• Understanding of ETL framework and ETL tools 
• Proficiency in  statistical packages like Excel, SPSS, and SAS to be used for data set analyzing
• Knowledge of how to create and apply the most appropriate algorithms to datasets to find solutions 

Would be nice if you also have 

• Experience with data visualization tools such as Tableau, Business Objects, PowerBI or Qlik
• Adept at using data processing platforms like Hadoop and Apache Spark
• Experience handling unstructured data such as text, audio and video and extracting features from those 

You have 

• Excellent analytical skills - the ability to identify trends, patterns and insights from data. You love numbers
• Strong attention to detail 
• Great communication and presentation skills – the ability to write and speak clearly to easily communicate complex ideas in a way that is easy to understand.  
• effective stakeholder management and great problem-solving skills 
• Keen desire to own up to things and get things done.  You follow through on commitments: live up to verbal and written agreements 
• You are a  quick learner of new technologies and easily adapt to change 
• Ability to collaborate effectively and work as part of a team
• You follow through on commitments: Live up to verbal and written agreements, regardless of personal cost. 
• Enthusiasm: exhibit passion, excitement and positive energy over work.

Here are couple of articles about us from our CEO Jitendra

Why we started MyYogaTeacher  https://www.myyogateacher.com/articles/why-i-started-myyogateacher

Our  mission and culture https://www.myyogateacher.com/articles/company-mission-culture

Look forward to hearing from you ! 

Desired Skills & Mindset:

We are looking for candidates who have demonstrated both a strong business sense and deep understanding of the quantitative foundations of modelling.

• Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions

• Statistical programming software experience in SPSS and comfortable working with large data sets.

• R, Python, SAS & SQL are preferred but not a mandate

• Excellent time management skills

• Good written and verbal communication skills; understanding of both written and spoken English

• Strong interpersonal skills

• Ability to act autonomously, bringing structure and organization to work

• Creative and action-oriented mindset

• Ability to interact in a fluid, demanding and unstructured environment where priorities evolve constantly, and methodologies are regularly challenged

• Ability to work under pressure and deliver on tight deadlines

Qualifications and Experience:

• Graduate degree in: Statistics/Economics/Econometrics/Computer

Science/Engineering/Mathematics/MBA (with a strong quantitative background) or

equivalent

• Strong track record work experience in the field of business intelligence, market

research, and/or Advanced Analytics

• Knowledge of data collection methods (focus groups, surveys, etc.)

• Knowledge of statistical packages (SPSS, SAS, R, Python, or similar), databases,

and MS Office (Excel, PowerPoint, Word)

• Strong analytical and critical thinking skills

• Industry experience in Consumer Experience/Healthcare a plus

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

Responsibilities: 

• Identify complex business problems and work towards building analytical solutions in-order to create large business impact.
• Demonstrate leadership through innovation in software and data products from ideation/conception through design, development and ongoing enhancement, leveraging user research techniques, traditional data tools, and techniques from the data science toolkit such as predictive modelling, NLP, statistical analysis, vector space modelling, machine learning etc.
• Collaborate and ideate with cross-functional teams to identify strategic questions for the business that can be solved and champion the effectiveness of utilizing data, analytics, and insights to shape business.
• Contribute to company growth efforts, increasing revenue and supporting other key business outcomes using analytics techniques.
• Focus on driving operational efficiencies by use of data and analytics to impact cost and employee efficiency.
• Baseline current analytics capability, ensure optimum utilization and continued advancement to stay abridge with industry developments.
• Establish self as a strategic partner with stakeholders, focused on full innovation system and fully supportive of initiatives from early stages to activation.
• Review stakeholder objectives and team's recommendations to ensure alignment and understanding.
• Drive analytics thought leadership and effectively contributes towards transformational initiatives.
• Ensure accuracy of data and deliverables of reporting employees with comprehensive policies and processes.