Job Description Rapido is India’s leading Bike Taxi application focussed on making your daily intracity commute more time-efficient and economical. Rapido is seeking a sharp, talented analyst who gets excited by looking at different forms of data and they are always ready to churn intelligence out of it. The primary duties of the role include utilizing a variety of techniques and aptitude to interpret results and identify trends in the data by preparing various analytical models and reports. Responsibilities: • Collecting, constructing and summarizing data for case-specific needs. • Performing independent and directed data analysis. • Analysing, validating, visualizing and reporting on the performance of various deep learning and statistical models. • Participating in meetings with academic experts and case team members. • Preparing various automated dashboards for specific departments. Required Skills: • Proficiency with Microsoft Excel. • Above average quantitative aptitude and ability to perform market analysis. • Computer skills and ability to learn specialized software. • Passion for mining and analyzing data. • Proficiency with statistics software will be a plus. • Knowledge of Python and R will be a plus
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.
Latent View is looking for Delivery Manager Exp- 7+yrs Location-Chennai Skill- 1) Stakeholder Managemen t: Should have worked in a client related role with focus on client engagement 2) Project Management: Should have managed at least team size of 10-12 members 3) Skill Sets: Technically proficient - Python + Visualisation & SQL; Text Mining & Processing/ Social Media Analytics is a plus Interested candidates mail your cv with Total exp Rel Exp CTC ECTC Notice Period
Good knowledge of SQL , Microsoft Excel One Programming language in SAA/Python or R
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
JD: Responsibilities: $ Detailed qualitative and quantitative assessment of Social Media Data $ Prepare detailed report with matrices and findings $ Using the proprietary Platform in conjunction with other tools to create various Ad-hoc reports $ Creating Report Dashboards using Excel, SQL, Powerpoint Skills required: $ Experience with Advanced Excel and PowerPoint $ Adept at writing complex SQL queries $ Understand the social and web metrics, and its application in the Digital Marketing universe $ Good analytical skill, data analysis and reporting $ Highly organized, details orientated and good coordination skill $ Strong verbal, written and presentation skills [Experience with Real-life unstructured data, Data Analysis & Visualization Tools (Python/R etc) would be an added advantage]
We are TheMathCompany. Our mission is to build and enhance analytical capabilities for Fortune-500 organizations across the world. We are a startup, one year into the journey of fulfilling our mission and we have managed to do so in a sustainable manner. We are not keen on splurging or focus solely on marketing, but we are energetic and passionate about the work we do. We are building and enhancing analytics capabilities for Fortune-500 organizations across the globe spanning various industries, while also bringing together this ecosystem through our platforms. One thing we can assure you is there won’t be a boring day and you will have a peer group with the passion for analytics and everything that it entails. An Associate of TheMathCompany is part of the team that makes it all possible on the ground. As an associate, you will be responsible for a wide range of things [just to ensure you don’t get bored and always keep learning :)] We have listed a few of them below to help you get an idea- Solving complicated business problems for organizations, leveraging conventional & new age data sources and a wide array of techniques- Liaising with the clients and stakeholders to understand their requirements, challenges etc. and keeping them up to date on the progress of our proposed solution- Staying connected to the Analytics industry trends- data, techniques, technology etc. and leveraging them to develop learning packages - Contributing to the hiring and learning programs- through interviews, sessions, content creations etc. based on the nature of the engagements- Building TheMathCompany. As a Startup that is on the growth trajectory, it would provide opportunities to design and execute initiatives that will help us in this endeavorSo, what does it take to be an Associate with TheMathCompany? We are looking out for people who share our passion for Analytics and energy to build a great company. We have outlined few criteria that would make you successful in this role- Experience of working on analytics projects and initiatives, preferably around 2-5 years- Strong application knowledge on tools (R/SAS/Python/SPSS etc.) and techniques (Regression, Machine Learning, Classification, Time series etc.)- Passion to learn new technologies, techniques to stay ahead of the Analytics industry curve - Ability to do what it takes. We want you to be part of our growth story and this would entail roles and responsibilities that would be new, exciting and dynamicTheMathCompany would provide you an ecosystem to learn and grow in your professional journey, offering guidance to help you be successful in this journey with us. We are also a fun bunch and will help you in making this memorable.So, based on what you have read, You believe you have what it takes to build TheMathCompany?We would love to have a chat with you. Share your details with us and one of our team members would get in touch with you.
Benefits: 1)Working with leaders of analytics Guru 2) working under 25+ years of business exp leaders 3) learning to market and sales pitch for product using social media 4) work from home based on your time 5) exp letter from leading analytics firm for 3 months 6) no stiphen