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Statistical Modeling Jobs in Chennai

3+ Statistical Modeling Jobs in Chennai | Statistical Modeling Job openings in Chennai

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Crayon Data

at Crayon Data

2 recruiters
Varnisha Sethupathi
Posted by Varnisha Sethupathi
Chennai
5 - 8 yrs
₹15L - ₹25L / yr
SQL
skill iconPython
Analytical Skills
Data modeling
Data Visualization
+1 more

Role : Senior Customer Scientist 

Experience : 6-8 Years 

Location : Chennai (Hybrid) 
 
 

Who are we? 
 
 

A young, fast-growing AI and big data company, with an ambitious vision to simplify the world’s choices. Our clients are top-tier enterprises in the banking, e-commerce and travel spaces. They use our core AI-based choice engine http://maya.ai/">maya.ai, to deliver personal digital experiences centered around taste. The http://maya.ai/">maya.ai platform now touches over 125M customers globally. You’ll find Crayon Boxes in Chennai and Singapore. But you’ll find Crayons in every corner of the world. Especially where our client projects are – UAE, India, SE Asia and pretty soon the US. 
 
 

Life in the Crayon Box is a little chaotic, largely dynamic and keeps us on our toes! Crayons are a diverse and passionate bunch. Challenges excite us. Our mission drives us. And good food, caffeine (for the most part) and youthful energy fuel us. Over the last year alone, Crayon has seen a growth rate of 3x, and we believe this is just the start. 
 

 
We’re looking for young and young-at-heart professionals with a relentless drive to help Crayon double its growth. Leaders, doers, innovators, dreamers, implementers and eccentric visionaries, we have a place for you all. 
 

 
 

Can you say “Yes, I have!” to the below? 
 
 

  1. Experience with exploratory analysis, statistical analysis, and model development 
     
  1. Knowledge of advanced analytics techniques, including Predictive Modelling (Logistic regression), segmentation, forecasting, data mining, and optimizations 
     
  1. Knowledge of software packages such as SAS, R, Rapidminer for analytical modelling and data management. 
     
  1. Strong experience in SQL/ Python/R working efficiently at scale with large data sets 
     
  1. Experience in using Business Intelligence tools such as PowerBI, Tableau, Metabase for business applications 
     

 
 

 

Can you say “Yes, I will!” to the below? 
 
 

  1. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modelling, coding, analytics) to drive business insight and facilitate decisions. 
     
  1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering to deploy those algorithms and create impact in production. 
     
  1. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends 
     
  1. Coordinate individual teams to fulfil client requirements and manage deliverable 
     
  1. Communicate and present complex concepts to business audiences 
     
  1. Travel to client locations when necessary  

 

 

Crayon is an equal opportunity employer. Employment is based on a person's merit and qualifications and professional competences. Crayon does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, marital status, pregnancy or related.  
 
 

More about Crayon: https://www.crayondata.com/">https://www.crayondata.com/  
 

More about http://maya.ai/">maya.ai: https://maya.ai/">https://maya.ai/  

 

 

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IT-Startup In Chennai

IT-Startup In Chennai

Agency job
Chennai
3 - 5 yrs
₹12L - ₹20L / yr
skill iconData Science
Data Scientist
skill iconR Programming
skill iconPython
skill iconMachine Learning (ML)
+9 more
  • 3+ years experience in practical implementation and deployment of ML based systems preferred.
  • BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
  • Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
  • Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
  • Experience in working on modeling graph structures related to spatiotemporal systems
  • Programming skills in Python
  • Experience in developing and deploying on cloud (AWS or Google or Azure)
  • Good verbal and written communication skills
  • Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
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Chennai
7 - 19 yrs
₹10L - ₹26L / yr
Analytics
Statistical Modeling
Marketing Strategy
Job description Role: Industry Domain Lead – Retail/ CPG/ Insurance /Banking/ Automotive Designation: Manager/ Senior Manager Career Track: Expert Location: Chennai Role Description/ Responsibilities: The Industry Domain Lead will be responsible for formulating and executing the supply side/ capability build strategy for their industry. He/ she will also be responsible for driving delivery excellence in all engagements in that industry by providing expert support on generating insights and generating a compelling case for action to deliver business impact. The Industry Lead will also support the development and execution of appropriate demand side/ go-to-market strategy for driving revenue growth and penetration into existing/ new accounts. • Develop a well thought out POV on the full spectrum of problems/ opportunities in that industry and analytics solutions/ approaches that are relevant to solving them. Articulate the POV in the form of “Industry Analytics on a Page” constructs that help explain it to stakeholders covering key business challenges, metrics, levers, analytics approaches, methodologies, frameworks, tools/ assets/ solutions and impact. • Understand work done till date in the industry and collate material relevant to developing the POV in the form of case studies and collateral. • Review approaches/ methodologies/ frameworks used across engagements and develop a reference guide that can be used to standardise and drive excellence. • Evaluate tools/ assets/ solutions developed across engagements till date and recommend usage/ updates/ redesign as appropriate. • Drive delivery excellence in all engagements in the industry by active participation/ providing expert support for solving complex business problems. • Develop issue/ hypothesis trees and other relevant problem-solving approaches for addressing the business challenges. • Review and provide critical comments to delivery teams on industry factors that need to be taken into consideration for raising the bar on dashboarding, modelling, solving fuzzy problems and generating insights. • Develop relevant sales/ marketing collateral for supporting the go-to-market strategy for the industry • Track revenue and penetration into existing/ new accounts and formulate supply side approaches to drive growth around recruitment, skill building, certification, refreshes to frameworks, methodologies, tools, assets and solutions • Drive/ support proposal/ RFP response development for opportunities in the industry; support NBD and Account Management teams in sales pursuits in existing accounts • Drive/ support LatentView marketing/ sales events such as roundtables and workshops. Represent LatentView in external events/ conferences to share/ represent our POV on the industry. • Drive LatentView's consulting capability in the industry and anchor / participate actively in consulting engagements. Skill/ Experience Requirements: • Deep knowledge of the business strategy/ analytical models and approaches/ value propositions adopted by leading organizations in the industry. • Excellent understanding of the business drivers/ levers, processes in the industry and how organizations can use analytics for driving business impact. • Sound knowledge of the analytics landscape and maturity spectrum within the industry. Familiarity with the problem solving analytical techniques (math) and modelling/ visualization tools (technology) relevant to the industry. • Conviction and ability to articulate the business impact of moving up the analytics maturity curve to internal audience as well as target clients/ stakeholders. • 8+ years of analytics experience in the industry in a direct or consulting capacity helping organizations adopt a data/ analytics-based decision-making framework. • Exceptional problem solving, analytical, communication and inter personal skills.
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