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Data mining Jobs in Bangalore (Bengaluru)

Explore top Data mining Job opportunities in Bangalore (Bengaluru) for Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.

Product Manager

Founded 2004
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Bengaluru (Bangalore)
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3 - 7 years
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Best in industry15 - 20 lacs/annum

Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about Edutech? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.Snapwiz is looking for a Business Analyst for edulastic.com product. We are looking for customer obsessed entrepreneurs to join our growing team. If you want to operate at startup speed, solve some of the hardest problems and build a service which teachers and students love, edulastic.com might just be the place for you.- The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the root problems.- Work closely with business managers and stakeholders to understand business issues and recommend solutions to ensure business questions are properly answered and recommend strategies to stakeholders to help drive business growth. - Respond with urgency to high priority requests from senior business leaders. - Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will help shape the direction of the product. BASIC QUALIFICATIONS - Basic Qualifications Bachelor's degree required. BE is preferred. - 2 - 5 years of work experience with at least 2 years of experience working in a similar role - Exposure to data mining tools like SQL, Tableau etc - Deadline driven, team player, with strong customer focus Outstanding analytical, problem solving, and organizational skills - Must be detail-oriented with a demonstrated ability to self-motivate and follow through on issues - Experience in a highly analytical, results-oriented environment with cross-functional interactions. - Excellent written and oral communication skills. - Attention to detail and capability to work on multiple projects in parallel

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Data Scientist

Founded 2006
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Bengaluru (Bangalore)
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4 - 8 years
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Best in industry0 - 15 lacs/annum

Title: Data ScientistExperience: 4 - 8 YearsLocation: Bengaluru/BangaloreJob Description:Roles & Responsibilities:- Solve problems that are challenging and take them right on the face to solve it at any cost, come what may.- Identify, develop and implement the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI.- Innovate new modelling and machine learning approaches.- Communicate your findings to the appropriate teams through visualisations.- Collaborate and communicate findings to diverse stakeholders.- Define and develop, maintain and evolve data models, tools and capabilities for predicting.- Establish trusted technical advisor relationship and promote and drive innovation and thought leadership.- Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.- Create interactive tools using cutting-edge visualization techniques (beyond standardvisualization like Tableau, Spotfire, Qlikview etc.- Ability to work with various forms of structured, semi-structured and unstructured data sources.Skill Set & Experience Required:- 4 - 8 Years of experience in a related position as a Data Scientist or Business Analyst building predictive analytics solutions.- Programming background and expertise in building models using at least one of the following languages: SAS, Python, R- Proficient in Machine Learning or Natural Language Processing.- Advanced knowledge of statistical techniques, machine learning algorithms, data mining & text mining.- Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout)- Strong story-telling & articulation skills.- Strong Statistics Background.- Strong communication and organizational skills.

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