Lead Data Scientist

A Delhi NCR based Applied AI & Consumer Tech company tackling one of the largest unsolved consumer internet problems of our time. We are a motley crew of smart, passionate and nice people who believe you can build a high performing company with a culture of respect aka a sports team with a heart aka a caring meritocracy.

Our illustrious angels include unicorn founders, serial entrepreneurs with exits, tech & consumer industry stalwarts and investment professionals/bankers.

We are hiring for our founding team (in Delhi NCR only, no remote) that will take the product from prototype to a landing! Opportunity for disproportionate non-linear impact, learning and wealth creation in a classic 0-1 with a Silicon Valley caliber founding team.

Key Responsibilities:

1.   Data Strategy and Vision:

·       Develop and drive the company's data analytics strategy, aligning it with overall business goals.

·       Define the vision for data analytics, outlining clear objectives and key results (OKRs) to measure success.

2.   Data Analysis and Interpretation:

·       Oversee the analysis of complex datasets to extract valuable insights, trends, and patterns.

·       Utilize statistical methods and data visualization techniques to present findings in a clear and compelling manner to both technical and non-technical stakeholders.

3.   Data Infrastructure and Tools:

·       Evaluate, select, and implement advanced analytics tools and platforms to enhance data processing and analysis capabilities.

·       Collaborate with IT teams to ensure a robust and scalable data infrastructure, including data storage, retrieval, and security protocols.

4.   Collaboration and Stakeholder Management:

·       Collaborate cross-functionally with teams such as marketing, sales, and product development to identify opportunities for data-driven optimizations.

·       Act as a liaison between technical and non-technical teams, ensuring effective communication of data insights and recommendations.

5.   Performance Measurement:

·       Establish key performance indicators (KPIs) and metrics to measure the impact of data analytics initiatives on business outcomes.

·       Continuously assess and improve the accuracy and relevance of analytical models and methodologies.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience (5+ years) in data analytics, with a focus on leading analytics teams and driving strategic initiatives.
• Proficiency in data analysis tools such as Python, R, SQL, and advanced knowledge of data visualization tools.
• Strong understanding of statistical methods, machine learning algorithms, and predictive modelling techniques.
• Excellent communication skills, both written and verbal, to effectively convey complex findings to diverse audie 

Data Scientist – Delivery & New Frontiers Manager 

Job Description:   

We are seeking highly skilled and motivated data scientist to join our Data Science team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for designing, developing, and deploying data science solutions that drives business values for stakeholders. This role involves mapping business problems to a formal data science solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the data science product with the support from MLOps team and facilitating business workshops. In a nutshell, this person will represent data science and provide expertise in the full project cycle. Expectation of the successful candidate will be above that of a typical data scientist. Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. 

Responsibilities: 

• Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities. 
• Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform. 
• Collect, clean, and preprocess large datasets from various internal and external sources.  
• Streamlining data science process working with Data Engineering, and Technology teams. 
• Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.  
• Develop and maintain data pipelines and infrastructure to support the data science projects 
• Communicate findings and recommendations to stakeholders through data visualizations and presentations. 
• Stay up to date with the latest data science trends and technologies, specifically for GCP companies 

Education / Certifications:  

Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics. 

Job specific requirements:  

• Brings 5+ years of deep data science experience 

∙       Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon 

• Experience with programming languages such as Python, R, Spark 
• Experience with data visualization tools such as Tableau, Power BI, and D3.js 
• Strong understanding of data structures, algorithms, and software design principles 
• Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage 
• Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub. 
• Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs. 
• Strong analytical and problem-solving skills 
• Excellent verbal and written communication skills 
• Working knowledge with application architecture, data security and compliance team. 

Job Title: SQL Query Writer - Analytics Automation

Location: Thane (West), Mumbai

Experience: 4-5 years

Responsibilities:

• Develop and optimize SQL queries for efficient data retrieval and analysis.
• Automate analytics processes using platforms like SQL, Python, ACL, Alteryx, Analyzer, Excel Macros, and Access Query.
• Collaborate with cross-functional teams to understand analytical requirements and provide effective solutions.
• Ensure data accuracy, integrity, and security in automated processes.
• Troubleshoot and resolve issues related to analytics automation.

Qualifications:

• Minimum 3 years of experience in SQL query writing and analytics automation.
• Proficiency in SQL, Python, ACL, Alteryx, Analyzer, Excel Macros, and Access Query.
• Strong analytical skills and attention to detail.

A proficient, independent contributor that assists in technical design, development, implementation, and support of data pipelines; beginning to invest in less-experienced engineers.

Responsibilities:

- Design, Create and maintain on premise and cloud based data integration pipelines. 
- Assemble large, complex data sets that meet functional/non functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing 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.
- Build analytics tools that utilize the data pipeline to provide actionable insights into key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data pipelines to enable BI, Analytics and Data Science teams that assist them in building and optimizing their systems
- Assists in the onboarding, training and development of team members.
- Reviews code changes and pull requests for standardization and best practices
- Evolve existing development to be automated, scalable, resilient, self-serve platforms
- Assist the team in the design and requirements gathering for technical and non technical work to drive the direction of projects

Technical & Business Expertise:

-Hands on integration experience in SSIS/Mulesoft
- Hands on experience Azure Synapse
- Proven advanced level of writing database experience in SQL Server
- Proven advanced level of understanding about Data Lake
- Proven intermediate level of writing Python or similar programming language
- Intermediate understanding of Cloud Platforms (GCP) 
- Intermediate understanding of Data Warehousing
- Advanced Understanding of Source Control (Github)

GCP  Data Analyst profile must have below skills sets :

• Knowledge of programming languages like https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Ftutorials%2Fsql-tutorial%2Fhow-to-become-sql-developer&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=EImfaJAD1KHOyrBQ7FkbaPl1STtfnf4QdQlbjw72%2BmE%3D&reserved=0" target="_blank">SQL, Oracle, R, MATLAB, Java and https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.simplilearn.com%2Fwhy-learn-python-a-guide-to-unlock-your-python-career-article&;data=05%7C01%7Ca_anjali%40hcl.com%7C4ae720b3f3cc45c3e04608da3346b335%7C189de737c93a4f5a8b686f4ca9941912%7C0%7C0%7C637878675987971859%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Z2n1Xy%2F3YN6nQqSweU5T7EfUTa1kPAAjbCMTWxDCh%2FY%3D&reserved=0" target="_blank">Python
• Data cleansing, data visualization, data wrangling
• Data modeling , data warehouse concepts
• Adapt to Big data platform like Hadoop, Spark for stream & batch processing
• GCP (Cloud Dataproc, Cloud Dataflow, Cloud Datalab, Cloud Dataprep, BigQuery, Cloud Datastore, Cloud Datafusion, Auto ML etc)

MTX Group Inc. is seeking a motivated Technical Lead - AI to join our team. MTX Group Inc. is a global implementation partner enabling organizations to become fit enterprises. MTX provides expertise across various platforms and technologies, including Google Cloud, Salesforce, artificial intelligence/machine learning, data integration, data governance, data quality, analytics, visualization and mobile technology. MTX’s very own Artificial Intelligence platform Maverick, enables clients to accelerate processes and critical decisions by leveraging a Cognitive Decision Engine, a collection of purpose-built Artificial Neural Networks designed to leverage the power of Machine Learning. The Maverick Platform includes Smart Asset Detection and Monitoring, Chatbot Services, Document Verification, to name a few.

Responsibilities:

• Extensive research and development of new AI/ML techniques that enables learning

              the semantics of data (images, video, text, audio, speech, etc) 

• Improving the existing ML and DNN models and products through R&D on cutting edge technologies 
• Collaborate with Machine Learning teams to drive innovation of complex and accurate cognitive system 
• Collaborate with Engineering and Core team to drive innovation of scalable ML and AI serving production platforms 
• Create POCs to quickly test a new model architecture and create improvement over an existing methodology 
• Introduce major innovations that can result in better product features and develop strategies and plans required to drive these 
• Lead a team and collaborate with product managers, tech review complex implementations and provide optimisation best practices 

What you will bring:

• 4-6 years of Experience 
• Experience in neural networks, graphical models, reinforcement learning, and natural language processing 
• Experience in Computer Vision techniques and image detection neural network models like semantic segmentation, instance segmentation, object detection, etc 
• In-depth understanding of benchmarking, parallel computing, distributed computing, machine learning, and AI 
• Programming experience in one or more of the following: Python, C, C++, C#, Java, R, and toolkits such as Tensorflow, Keras, PyTorch, Caffe, MxNet, SciPy, SciKit, etc
• Ability to perform research that is justified and guided by business opportunities 
• Demonstrated successful implementation if industry grade AI solutions in the past
• Ability to lead a team of AI engineers in an agile development environment 

What we offer:

• Group Medical Insurance (Family Floater Plan - Self + Spouse + 2 Dependent Children)
• Sum Insured: INR 5,00,000/- 
• Maternity cover upto two children
• Inclusive of COVID-19 Coverage
• Cashless & Reimbursement facility
• Access to free online doctor consultation

• Personal Accident Policy (Disability Insurance) -

• Sum Insured: INR. 25,00,000/- Per Employee
• Accidental Death and Permanent Total Disability is covered up to 100% of Sum Insured
• Permanent Partial Disability is covered as per the scale of benefits decided by the Insurer
• Temporary Total Disability is covered
• An option of Paytm Food Wallet (up to Rs. 2500) as a tax saver  benefit
• Monthly Internet Reimbursement of upto Rs. 1,000 
• Opportunity to pursue Executive Programs/ courses at top universities globally
• Professional Development opportunities through various MTX sponsored certifications on multiple technology stacks including Salesforce, Google Cloud, Amazon & others

JD : ML/NLP Tech Lead

- We are looking to hire an ML/NLP Tech lead who can own products for a technology perspective and manage a team of up to 10 members. You will play a pivotal role in re-engineering our products, transformation, and scaling of AssessEd

WHAT ARE WE BUILDING :

- A revolutionary way of providing continuous assessments of a child's skill and learning, pointing the way to the child's potential in the future. This as opposed to the traditional one-time, dipstick methodology of a test that hurriedly bundles the child into a slot, that in-turn - declares- the child to be fit for a career in a specific area or a particular set of courses that would perhaps get him somewhere. At the core of our system is a lot of data - both structured and unstructured. 

- We have books and questions and web resources and student reports that drive all our machine learning algorithms. Our goal is to not only figure out how a child is coping but to also figure out how to help him by presenting relevant information and questions to him in topics that he is struggling to learn.

Required Skill sets :

- Wisdom to know when to hustle and when to be calm and dig deep. Strong can do mentality, who is joining us to build on a vision, not to do a job.

- A deep hunger to learn, understand, and apply your knowledge to create technology.

- Ability and Experience tackling hard Natural Language Processing problems, to separate wheat from the chaff, knowledge of mathematical tools to succinctly describe the ideas to implement them in code.

- Very Good understanding of Natural Language Processing and Machine Learning with projects to back the same.

- Strong fundamentals in Linear Algebra, Probability and Random Variables, and Algorithms.

- Strong Systems experience in Distributed Systems Pipeline: Hadoop, Spark, etc.

- Good knowledge of at least one prototyping/scripting language: Python, MATLAB/Octave or R.

- Good understanding of Algorithms and Data Structures.

- Strong programming experience in C++/Java/Lisp/Haskell.

- Good written and verbal communication.

Desired Skill sets :

- Passion for well-engineered product and you are - ticked off- when something engineered is off and you want to get your hands dirty and fix it.

- 3+ yrs of research experience in Machine Learning, Deep Learning and NLP

- Top tier peer-reviewed research publication in areas like Algorithms, Computer Vision/Image Processing, Machine Learning or Optimization (CVPR, ICCV, ICML, NIPS, EMNLP, ACL, SODA, FOCS etc)

- Open Source Contribution (include the link to your projects, GitHub etc.)

- Knowledge of functional programming.

- International level participation in ACM ICPC, IOI, TopCoder, etc

- International level participation in Physics or Math Olympiad

- Intellectual curiosity about advanced math topics like Theoretical Computer Science, Abstract Algebra, Topology, Differential Geometry, Category Theory, etc.

What can you expect :

- Opportunity to work on the interesting and hard research problem, to see the real application of state-of-the-art research into practice.

- Opportunity to work on important problems with big social impact: Massive, and direct impact of the work you do on the lives of students.

- An intellectually invigorating, phenomenal work environment, with massive ownership and growth opportunities.

- Learn effective engineering habits required to build/deploy large production-ready ML applications.

- Ability to do quick iterations and deployments.

- We would be excited to see you publish papers (though certain restrictions do apply).

Website : http://Digitalaristotle.ai


Work Location: - Bangalore

We are looking for a data scientist that will help us to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. 

• Selecting features, building and optimizing classifiers using machine learning techniques
• Data mining using state-of-the-art methods
• Extending company’s data with third party sources of information when needed
• 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
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance

• Excellent understanding of machine learning techniques and algorithms, such as Linear regression, SVM, Decision Forests, LSTM, CNN etc.
• Experience with Deep Learning preferred.
• Experience with common data science toolkits, such as R, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
• Great communication skills
• Proficiency in using query languages such as SQL, Hive, Pig 
• Good applied statistics skills, such as statistical testing, regression, etc.
• Good scripting and programming skills 
• Data-oriented personality