Data Scientist - IV

We are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users. 

 

Required Experience 

• Implementation of interactive visualizations using Tableau Desktop  
• Integration with Tableau Server and support of production dashboards and embedded reports with it 

• Writing and optimization of SQL queries  
• Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis 
• 3  years of experience working as a Software Engineer / Senior Software Engineer 
• Bachelors in Engineering – can be Electronic and comm , Computer , IT  
• Well versed with Basic Data Structures Algorithms and system design 

• Should be capable of working well in a team – and should possess very good communication skills 
• Self-motivated and fun to work with and organized 
• Productive and efficient working remotely 
• Test driven mindset with a knack for finding issues and problems at earlier stages of development 
• Interest in learning and picking up a wide range of cutting edge technologies 

• Should be curious and interested in learning some Data science related concepts and domain knowledge 
• Work alongside other engineers on the team to elevate technology and consistently apply best practices 

 

Highly Desirable 

• Data Analytics 

• Experience in AWS cloud or any cloud technologies 
• Experience in BigData technologies and streaming like – pyspark, kafka is a big plus 
• Shell scripting  
• Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark 
• Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational 

About us

Skit (previously known as http://vernacular.ai/" target="_blank">Vernacular.ai) is an AI-first SaaS voice automation company. Its suite of speech and language solutions enable enterprises to automate their contact centre operations. With over 10 million hours of training data, its product - Vernacular Intelligent Voice Assistant (VIVA) can currently respond in 16+ languages, covering over 160+ dialects and replicating human-like conversations.

 

Skit currently serves a variety of enterprise clients across diverse sectors such as BFSI, F&B, Hospitality, Consumer Electronics and Travel & Tourism, including prominent clients like Axis Bank, Hathway, Porter and Barbeque Nation. It has been featured as one of the top-notch start-ups in the Cisco Launchpad’s Cohort 6 and is a part of the World Economic Forum’s Global Innovators Community. It has has also been listed in Forbes 30 Under 30 Asia start-ups 2021 for its remarkable industry innovation.

We are looking for ML Research Engineers to work on the following problems:

• Spoken Language Understanding and Dialog Management.
• Language semantics, parsing, and modeling across multiple languages.
• Speech Recognition, Speech Analytics and Voice Processing across multiple languages.
• Response Generation and Speech Synthesis.
• Active Learning, Monitoring and Observability mechanisms for deployments.

Responsibilities

• Design, build and evaluate Machine Learning solutions.
• Perform experiments and statistical analyses to draw conclusions and take modeling decisions.
• Study, implement and extend state of the art systems.
• Take part in regular research reviews and discussions.
• Build, maintain and extend our open source solutions in the domain.
• Write well-crafted programs at all levels of the system. This includes the data pipelines, experiment prototypes, fast and scalable deployment models, and evaluation, visualization and monitoring systems.

Requirements

• Practical Machine Learning experience as demonstrated by earlier works.
• Knowledge of and ability to use tools from theoretical and practical aspects of computer science. This includes, but is not limited to, probability, statistics, learning theory, algorithms, software architecture, programming languages, etc.
• Good programming skills and ability to work with programs at all levels of a finished Machine Learning product. We prefer language agnosticism since that exemplifies this point.
• Git portfolios and blogs are helpful as they let us better evaluate your work.

 

• What information we collect during our application and recruitment process and why we collect it;
• How we use that information; and
• How to access and update that information.

• Your name, address, email address, telephone number and other contact information;
• Your resume or CV, cover letter, previous and/or relevant work experience or other experience, education, transcripts, or other information you provide to us in support of an application and/or the application and recruitment process;
• Information from interviews and phone-screenings you may have, if any;
• Details of the type of employment you are or may be looking for, current and/or desired salary and other terms relating to compensation and benefits packages, willingness to relocate, or other job preferences;
• Details of how you heard about the position you are applying for;
• Reference information and/or information received from background checks (where applicable), including information provided by third parties;
• Information about your educational and professional background from publicly available sources, including online, that we believe is relevant to your application or a potential future application (e.g. your LinkedIn profile); and/or
• Information related to any assessment you may take as part of the interview screening process.

• Assessing your skills, qualifications and interests against our career opportunities;
• Verifying your information and carrying out reference checks and/or conducting background checks (where applicable) if you are offered a job;
• Communications with you about the recruitment process and/or your application(s), including, in appropriate cases, informing you of other potential career opportunities at Skit;
• Creating and/or submitting reports as required under any local laws and/or regulations, where applicable;
• Making improvements to Skit's application and/or recruitment process including improving diversity in recruitment practices;
• Proactively conducting research about your educational and professional background and skills and contacting you if we think you would be suitable for a role with us.

Strong Programmer with expertise in Python and SQL
 

PriceLabs (https://www.chicagobusiness.com/innovators/what-if-you-could-adjust-prices-meet-demand" target="_blank">chicagobusiness.com/innovators/what-if-you-could-adjust-prices-meet-demand) is a cloud based software for vacation and short term rentals to help them dynamically manage prices just the way large hotels and airlines do! Our mission is to help small businesses in the travel and tourism industry by giving them access to advanced analytical systems that are often restricted to large companies. 

We're looking for someone with strong analytical capabilities who wants to understand how our current architecture and algorithms work, and help us design and develop long lasting solutions to address those. Depending on the needs of the day, the role will come with a good mix of team-work, following our best practices, introducing us to industry best practices, independent thinking, and ownership of your work.

 

Responsibilities:

• Design, develop and enhance our pricing algorithms to enable new capabilities.
• Process, analyze, model, and visualize findings from our market level supply and demand data.
• Build and enhance internal and customer facing dashboards to better track metrics and trends that help customers use PriceLabs in a better way.
• Take ownership of product ideas and design discussions.
• Occasional travel to conferences to interact with prospective users and partners, and learn where the industry is headed.

Requirements:

• Bachelors, Masters or Ph. D. in Operations Research, Industrial Engineering, Statistics, Computer Science or other quantitative/engineering fields.
• Strong understanding of analysis of algorithms, data structures and statistics.
• Solid programming experience. Including being able to quickly prototype an idea and test it out.
• Strong communication skills, including the ability and willingness to explain complicated algorithms and concepts in simple terms.
• Experience with relational databases and strong knowledge of SQL.
• Experience building data heavy analytical models in the travel industry.
• Experience in the vacation rental industry.
• Experience developing dynamic pricing models.
• Prior experience working at a fast paced environment.
• Willingness to wear many hats.

Data pre-processing, data transformation, data analysis, and feature engineering, 
The candidate must have Expertise in ADF(Azure data factory), well versed with python.
Performance optimization of scripts (code) and Productionizing of code (SQL, Pandas, Python or PySpark, etc.)
Required skills:
Bachelors in - in Computer Science, Data Science, Computer Engineering, IT or equivalent
Fluency in Python (Pandas), PySpark, SQL, or similar
Azure data factory experience (min 12 months)
Able to write efficient code using traditional, OO concepts, modular programming following the SDLC process.
Experience in production optimization and end-to-end performance tracing (technical root cause analysis)
Ability to work independently with demonstrated experience in project or program management
Azure experience ability to translate data scientist code in Python and make it efficient (production) for cloud deployment

The selected would be a part of the inhouse Data Labs team. He/she would be responsible to creation insights-driven decision structure.

This will include:

Scorecards
Strategies
MIS

The verticals included are:

Risk
Marketing
Product

It is one of the largest communication technology companies in the world. They operate America's largest 4G LTE wireless network and the nation's premiere all-fiber broadband network.

WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratise machine learning algorithms for our customers and help them realise dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Senior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities - - Lead and Own the Thought Process on one or more of our core Data Science problems e.g. Product Clustering, Intertemporal Optimization, etc. - Actively participate and challenge assumptions in translating ambiguous business problems into one or more ML/optimization problems - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Define and own metrics on solution quality, data quality and stability of ML pipelines - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences - - Bachelors or Masters in a quantitative field from a top tier college. - Minimum of 3+ years experience in a data science role in a technology company - Solid mathematical background (especially in linear algebra, probability theory, optimization theory, decision theory, operations research) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Solid foundation in data structures, algorithms, and programming language theory - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the focus areas of WyngCommerce Data Science team: (a) Product Clustering, (b) Demand Forecasting, (c) Intertemporal Optimization, (d) Reinforcement Learning, (e) Transfer Learning - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Experience using Cloud-based ML platforms (e.g., AWS Sagemaker, Azure ML), Cloud-based data storage, and deploying ML models in product environment in collaboration with engineering teams - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences

Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems