- Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
- Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
- Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
- Design, develop and maintain the framework for the analytics solutions pipeline
- Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
- Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
- Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives
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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
• Create and maintain data pipeline
• Build and deploy ETL infrastructure for optimal data delivery
• Work with various including product, design and executive team to troubleshoot data
related issues
• Create tools for data analysts and scientists to help them build and optimise the product
• Implement systems and process for data access controls and guarantees
• Distill the knowledge from experts in the field outside the org and optimise internal data
systems
Preferred qualifications/skills:
• 5+ years experience
• Strong analytical skills
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Freight Commerce Solutions Pvt Ltd.
• Degree in Computer Science, Statistics, Informatics, Information Systems
• Strong project management and organisational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• SQL guru with hands on experience on various databases
• NoSQL databases like Cassandra, MongoDB
• Experience with Snowflake, Redshift
• Experience with tools like Airflow, Hevo
• Experience with Hadoop, Spark, Kafka, Flink
• Programming experience in Python, Java, Scala
- 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
• Help build a Data Science team which will be engaged in researching, designing,
implementing, and deploying full-stack scalable data analytics vision and machine learning
solutions to challenge various business issues.
• Modelling complex algorithms, discovering insights and identifying business
opportunities through the use of algorithmic, statistical, visualization, and mining techniques
• Translates business requirements into quick prototypes and enable the
development of big data capabilities driving business outcomes
• Responsible for data governance and defining data collection and collation
guidelines.
• Must be able to advice, guide and train other junior data engineers in their job.
Must Have:
• 4+ experience in a leadership role as a Data Scientist
• Preferably from retail, Manufacturing, Healthcare industry(not mandatory)
• Willing to work from scratch and build up a team of Data Scientists
• Open for taking up the challenges with end to end ownership
• Confident with excellent communication skills along with a good decision maker
1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.
2) Independently Build and refit robust models for achieving game-changing growth while managing risk.
3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.
4) Help define the data infrastructure strategy for Indian subsidiary.
a. Monitor data quality and quantity.
b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them.
c. Build a culture of strong automation and monitoring
d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison.
Required Skills & Qualifications:
1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required.
2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc.
3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.)
4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools
5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred).
6) Demonstrated autonomy, thought leadership, and learning agility.
Work days- Sun-Thu
Day shift
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.