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Work at top Indian companies and global startups in 2020 - Check it out

Data Science Jobs in Bangalore (Bengaluru)

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

Engineering Manager - Data
Engineering Manager - Data

Founded 2014
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Remote, NCR (Delhi | Gurgaon | Noida), Bengaluru (Bangalore)
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5 - 12 years
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Best in industryBest in industry

Why are we building Urbancomapny?   Organized service commerce is a large yet young industry in India. While India is a very large market for a home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today.   The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional's journeys are removed - and the experiences made more meaningful and joyful.   The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce they way Amazon transformed product commerce.   Job Description :   Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted platform thinking pretty at the very early stage of UC. We started building central platform teams who are dedicated solve for core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for an Engineering Manager for the Data Engineering team currently. A person who loves solving standardization, have strong platform thinking, opinions, have solved for Data Engineering, Data Science and analytics platform.   Job Responsibilities   Building high octane teams with high opinions and strong platform thinking Working on complex design and architectural problems. Solving funnel analytics, product insights and building a highly scalable data platform Experience in building Data Science Platform  Highly productive data-driven models to contribute to product success and building Visioning out the roadmap and thought process behind taking current tech stack to next level Building and maintaining the high NPS of 70% of platform products Strong decision-maker with hands-on experience Think about abstractions, systems and services and write high-quality code. Have an understanding of loopholes in current systems/architecture that can potentially break in the future and push towards solving them with other stakeholders. Think through complex architecture to build robust platforms to serve together all the categories and flows, solve for scale, and work on internally build services to cater to our growing needs.   Job Requirements   At least 1-2+ Years of experience in managing teams 5-8 years of experience in the industry solving complex problems from scratch and have graduate/post-graduate degrees from top-tier universities. A thinker with strong opinions and the ability to get those opinions into reality Prior experience of creating complex systems in the past. Ability to build scalable, sustainable, reliable, and secure products based on past experience and leading teams and projects by themselves. Ability to bring new practices, architectural choices, and new initiatives onto the table to make the overall tech stack more robust. History and familiarity with server-side architecture based on APIs, databases, infrastructure, and systems. Ability to own the technical road map for systems/components.   What can you expect?   A phenomenal work environment, with massive ownership and growth opportunities. A high performance, high-velocity environment at the cutting edge of growth. Strong ownership expectation and freedom to fail. Quick iterations and deployments – fail-fast attitude. Opportunity to work on cutting edge technologies. The massive, and direct impact of the work you do on the lives of people.

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Junior Data Scientist
Junior Data Scientist

Founded 2015
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Remote, Bengaluru (Bangalore)
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1 - 5 years
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Junior Data Scientist- Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 1+ years of experience in applying AI to practical and comprehensive technology solutions   2+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation   Senior Position CTC - 3-7 LPA Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries

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Senior Data Scientist
Senior Data Scientist

Founded 2015
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Remote, Bengaluru (Bangalore)
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5 - 8 years
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Senior Data Scientist Happymonk is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We are looking for an experienced AI specialist to join the revolution, using deep learning, neuro-linguistic programming (NLP) computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. You will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies to a real-world difference. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within—all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. A data scientist knows how to extract meaning from and interpret data. This unique skill set requires the aid of statistical methods and machinery, but largely relies on analytical brainpower. Because raw data can rarely be utilized reliably, businesses in a variety of industries look to these technical experts to collect, clean, and validate their data. This meticulous process requires persistence and software engineering skills—expertise that’s integral to understanding data bias and to debug output from code. In simpler terms, data scientists find patterns and use the knowledge to build and improve. An artificial intelligence (AI) specialist applies their skills in engineering and computer science to create machines and software programs that can think for themselves. Most often, they use AI principles to address persistent business pain points, augment the capability of technical and human resources, and execute a change management/transformation process. The key contribution of an AI specialist is using emerging technologies, such as machine learning (ML) and neuro-linguistic programming (NLP), to solve business problems in new and creative ways that provide greater insight, accuracy, and consistency. This can be done in nearly any industry but is most often sought by the government, health care, and higher education institutions. The objective of this role Manage and direct research and development (R&D) and processes to meet the needs of our AI strategy   Understand company and client challenges and how integrating AI capabilities can help create solutions   Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit   Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards   Collaborate with product design and engineering to develop an understanding of needs   Research and devise innovative statistical models for data analysis   Communicate findings to all stakeholders   Enable smarter business processes—and implement analytics for meaningful insights   Keep current with technology and industry developments Daily and Monthly Responsibilities Advise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI   Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership   Manage a team to conduct assessments of the AI and automation market and competitive landscape   Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation   Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products   Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries   Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables   Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy   Analyze data for trends and patterns, and Interpret data with a clear objective in mind   Implement analytical models into production by collaborating with software developers and machine learning engineers.   Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems   Bachelor’s degree in computer science Special Skills Required 5+ years of experience in applying AI to practical and comprehensive technology solutions   7+ years of experience in data science   Proven experience with ML, deep learning, Python, NLP, Kafka, and Spark   Experience with program leadership, governance, and change enablement   Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns   Experience with REST API development, SQL design, RDBMS design and optimizations   Experience with innovation accelerators   Experience with Cloud environments   Bachelor’s degree in statistics, applied mathematics, or related discipline preferred   Proficiency in data mining, mathematics, and statistical analysis   Advanced pattern recognition and predictive modeling experience   Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)   Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects   Professional Certification     Location Bengaluru, Karnataka, India - 560072 Compensation   Senior Position 8LPA/CTC-14LPA/CTC Key perks Working with the best in the industry   Family Insurance Program   Wellness Benefits   Work from home Industries Internet Technology, Research and development, AI/ML, Architecture, Security & Surveillance, Wellness, Construction & Allied Industries

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Data Scientist (Banking Domain Mandatory)
Data Scientist (Banking Domain Mandatory)

Founded 2015
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Bengaluru (Bangalore)
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4 - 7 years
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Work-days: Sunday through ThursdayWork shift: Day time  Strong problem-solving skills with an emphasis on product development. • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and drawinsights from large data sets.• Experience in building ML pipelines with Apache Spark, Python• Proficiency in implementing end to end Data Science Life cycle• Experience in Model fine-tuning and advanced grid search techniques• Experience working with and creating data architectures.• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neuralnetworks, etc.) and their real-world advantages/drawbacks.• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,statistical tests and proper usage, etc.) and experience with applications.• Excellent written and verbal communication skills for coordinating across teams.• A drive to learn and master new technologies and techniques.• Assess the effectiveness and accuracy of new data sources and data gathering techniques.• Develop custom data models and algorithms to apply to data sets.• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.• Develop company A/B testing framework and test model quality.• Coordinate with different functional teams to implement models and monitor outcomes.• Develop processes and tools to monitor and analyze model performance and data accuracy.Key skills:● Strong knowledge in Data Science pipelines with Python● Object-oriented programming● A/B testing framework and model fine-tuning● Proficiency in using sci-kit, NumPy, and pandas package in pythonNice to have:● Ability to work with containerized solutions: Docker/Compose/Swarm/Kubernetes● Unit testing, Test-driven development practice● DevOps, Continuous integration/ continuous deployment experience● Agile development environment experience, familiarity with SCRUM● Deep learning knowledge

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Data Scientist
Data Scientist

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Bengaluru (Bangalore)
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8 - 12 years
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B.Tech/MTech from tier 1 institution 8+years of experience in machine learning techniques like logistic regression, random forest, boosting, trees, neural networks, etc. Showcased experience with Python, SQL and proficiency in Scikit Learn, Pandas, NumPy, Keras and TensorFlow/pytorch Experience of working with Qlik sense or Tableau is a plus Experience of working in a product company is a plus

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Data Scientist
Data Scientist

Founded 2018
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Bengaluru (Bangalore)
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2 - 4 years
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2 to 4 years of relevant industry experience Experience in Linear algebra, statistics & Probability skills, such as distributions,  Deep Learning, Machine Learning Strong mathematical and statistics background is a must Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet Strong industry experience in using design patterns, algorithms and data structures Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib Experience in model building, hyper parameter tuning and optimization.

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Sr. Data Scientist
Sr. Data Scientist

Founded 2015
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Bengaluru (Bangalore)
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4 - 7 years
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Best in industry{{renderSalaryString({min: 1500000, max: 1800000, duration: "undefined", currency: "INR", equity: false})}}

Must have Skills: Extract and present valuable information from data Understand business requirements and generate insights Build mathematical models, validate and work with them Explain complex topics tailored to the audience Validate and follow up on results Work with large and complex data sets Establish priorities with clear goals and responsibilities to achieve a high level of performance. Work in an agile and iterative manner on solving problems Evaluate different options proactively and the ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches. Good understanding of Digital & analytics Strong communication skills, orally and in writing Job Overview:As a Data Scientist you will work in collaboration with our business and engineering people, on creating value from data. Often the work requires solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling and machine learning. You have a strong foundation in analytics, mathematical modeling, computer science, and math - coupled with a strong business sense. You proactively fetch information from various sources and analyze it for better understanding about how the business performs. Furthermore, you model and build AI tools that automate certain processes within the company. The solutions produced will be implemented to impact business results. The Data Scientist believes in a non-hierarchical culture of collaboration, transparency, safety, and trust. Working with a focus on value creation, growth and serving customers with full ownership and accountability. Delivering exceptional customer and business results Industry: Any (prefer – Manufacturing, Logistics); willingness to learn manufacturing systems (OT systems and data stores)Primary Responsibilities: Develop an understanding of business obstacles, create solutions based on advanced analytics and draw implications for model development Combine, explore, and draw insights from data. Often large and complex data assets from different parts of the business. Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques Prototype and pilot new solutions and be a part of the aim of ‘productifying’ those valuable solutions that can have an impact at a global scale Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions Regards, Sudarshini

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Data Scientist
Data Scientist

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Bengaluru (Bangalore)
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5 - 10 years
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Responsibilities: Design and development of machine learning and deep learning algorithms for API security and Identity products Hands on Java and python coding skills to implement the algorithms in Apache Spark platform Research capabilities to solve advanced problems in the API security and Identity domain Data engineering, Data generation and Feature extraction Develop algorithms for modeling user behavior analysis Scaling of the ML engines for Big Data Technical skills to analyze HTTP/1.1, REST API logs Working closely with QA/product managers to deliver the product in time Required Qualifications: Minimum of one ML/AI product development and deployment experience in production Experience in handling/building models on top of Big Data Experience working with Realtime Time series data analysis Excellent understanding of machine learning techniques and algorithms, such as regression, classification, clustering, k-NN, Naive Bayes, SVM, Decision Forests, HMM, Sequence Models Deep understanding of model evaluation techniques like cross-validation strategies, ROC, A/B Testing Deep understanding of model evaluation metrics like AUC, RMSE, log-loss, entropy and statistical concepts like P-value, T-test, F-test Knowledge of deep learning experience with any one of framework is preferable (Tensorflow/keras) Experience in dealing with server logs is a plus Experience with MongoDB/Cassandra/Kafka is a plus Strong understanding of REST APIs and HTTP/1.1 protocols is required Programming experience is absolute necessary (Java/JDK8, Scala, Python) Minimum of 5 years of experience in design and development of analytics product using machine learning algorithms Strong communication skills B. E /M. E in Computer Science or related degrees from premium institutes like IITs, IISc, NIT, BITS Pilani, etc.

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Data Scientist
Data Scientist

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Bengaluru (Bangalore)
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7 - 15 years
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Key Responsibilities:   Lead and guide a data science program to help understand how the wealth of security data can drive insights into weaknesses, threats, and opportunities.  Use analytical rigor and statistical methods, programming, data modeling, simulation, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing business questions, and making valuable discoveries. Identify/develop appropriate machine learning/data mining/text mining techniques to enable better business outcomes. Understand and analyze data sources including sampling biases, accuracy, and coverage. Break apart problems scientifically, providing insight into your recommendations and findings to both technical and non-technical partners. Research new ways for modeling and predictive behavior for large scale projects. Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity. Document projects including business objective, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics. Validate score performance. Document and present model process and performance. What will you need?   Required Skills:   Prior experience in performing the same role in a SaaS security product company.  Minimum 8 years of relevant work experience in similar roles. Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or other quantitative fields. Highly technical with both tactical and strategic capabilities.  Hands-on experience implementing machine learning and security intelligence solutions. Proven track record in modifying and applying advanced algorithms to address practical problems. Deep understanding of algorithms, machine learning and data science.  Confident interacting with business peers to understand and identify use case, with a strong ability to articulate solutions and present them to business partners. Sound knowledge of security in Cloud platforms such as AWS, GCP, Azure. Strong coding skills in one of the following: Python, R, or PySpark. Experience with Hadoop and NoSQL or related technologies. Knowledge of NLP/Text mining techniques and related open source tools.  Outstanding collaboration and communication skills. Ability to effectively collaborate with distributed team. Understand and practice agile development methodology. Nice to Have:   Understanding of DevOps, microservices architecture and container/Docker technologies.

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Sr. Data Scientist |Credit Scoring|Immediate Joiners
Sr. Data Scientist |Credit Scoring|Immediate Joiners

Founded 2015
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Bengaluru (Bangalore)
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6 - 10 years
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Important:Credit Score is mandatory.You are expected to build deep learning models to process unstructured data like images and scanned financial documents and convert it into meaningful tables with optical character recognition technologies.You are also expected to build Machine Learning and Deep learning models for facial recognition and object comparison.The ideal candidate will be passionate about artificial intelligence and stay up-to-date with the latest developments in thefield.JD To build deep learning models in Tensorflow and Keras To build Machine learning and Text Analysis projects Extensive knowledge of python, data structures, and algorithms Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc Data Analysis analysis and presenting results in a clear manner Building Deep learning models over unstructured sources such as images, speech and text data. Skills and Qualifications B.E/B.TECH/MCA in COMPUTER SCIENCE ENGINEERING ONLY or Any Degree specializing in Computer Science or Information Technology or Information Science. Excellent Knowledge of computer science engineering basics. Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc  Understanding of Natural Language processing techniques and algorithms such as dimensionality reduction, NLTK, CoreNLP, Spacy Understanding of Deep learning concepts and techniques such as YoLo, Object Detection, Image Classification. Experience with common data science toolkits, such as scikit-learn, spacy, Keras. Excellence in at least one of these is highly desirable Great communication skills in English both written and verbal. Proficiency in using query languages such as SQL. Good applied statistics skills, such as distributions, statistical testing, regression, etc. Good programming skills in Python or Java. Well versed with data structures and algorithms. Deep learning & Machine learning

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Lead Data Scientist
Lead Data Scientist

Founded 2015
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Bengaluru (Bangalore)
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7 - 12 years
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Best in industryBest in industry

Role: Lead Data Scientist   We are looking for Savvy Data Science Lead to join our growing team of data scientists and experts. You will be responsible for expanding and optimizing our data models, prediction algorithms, image and visual data analysis and financial models. You will support our software developers, data engineers on building and enhancing models. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.   Objectives and responsibilities This is a leadership position and the candidate will be responsible for playing the role of leading innovation within the business and define how the business creates additional value through the utilization of its data assets and analytics. The lead is tasked with consistently identifying and monitoring key business risks and realizing the data needs of the business. The Lead Data Scientist manages the junior data science teams and oversees all activities ensuring alignment with departmental and business-wide vision and strategies. Ensuring data quality and integrity Experimenter and tinkerer, constantly evaluating and qualifying new models and techniques Education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics. Manage business’ external data and analytics partners and plays a leading role in the development and design of the vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities.  Managing the data science talent needs through role definition, recruitment, and development of a team of data scientists that will jointly move the business’s agenda forward. Mentorship role to key data science positions, guiding them in them through the execution of their duties, and encouraging their professional growth in preparation for their occupation of his position in the future. Matching and optimizing algorithms that are fundamental to the business’s products/services identifying better matches that will ultimately improve the consumer experiences. Work closely with other Data and Analytics Teams, inclusive of data analytics, data warehousing, and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques. Responsible for playing a key analytical role where he/she will drive experimental data modeling designs within the business. Constantly run A/B tests in order to evaluate changes in the business’s product/services. Track the business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement. Have a deep understanding the business’s marketplace dynamics. Take up initiative and conduct exploratory data analyses and experimental designs, which will help the business to better understand trends and behaviour within these markets and settle on the most suitable strategies to drive success and achievements of goals and targets.   Qualifications At a minimum, a Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. A working experience of the same is also acceptable for the position. Must come with a solid understanding of machine learning The candidate for this position has to have had at least 7 years of working experience in a data science position, preferably working as a Senior Data Scientist. The candidate for this position will have to be highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, Java among others. The candidate must also have a proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance. A suitable candidate will also have had experience working with and influencing and possess vast experience and expertise with probability and statistics, inclusive of machine learning, experimental design, and optimization. As a bonus he will also have had experience working with Hadoop. Top notch Communication skills will also be a necessity for the Head of Data Science. The Lead Data Scientist will also have to draft various reports and presentations that will be used by senior Data and Analytics management and executives for decision making and strategy development. The candidate must also demonstrate exceptionally good skills in SQL server reporting services, analysis services, Tableau, integration services, Salesforce, or any other data visualization tools. The lead data scientist will also need to be technologically adept and especially demonstrate an understanding of database and computer software. The lead data scientist must also be highly skilled in statistical and modeling packages such as SAS, Statistica, Matlab, R, visualization and other advanced analysis tools. He will also be an expert in data management programming such as SQL, PL-SQL, and Python as well as being familiar win the workings of motion-tracking data and time-series analyses. Must have experience in deploying machine learning models on production systems. Candidates having experience in AWS SageMaker will have an advantage.   Experience - 7 to 12 years in a Data Science position.   Who We Are                        We build innovative technology everyday! Crediwatch is a ‘Data Insights-as-a-service’ company that provides lenders, businesses with actionable credit intelligence on private entities they need to improve trust and increase their lending and trading activity. Crediwatch does this with no human intervention by deploying the latest practical AI and technology tools that provide the most reliable comprehensive real time inputs. Each day at Crediwatch is about striving for transparent insights, analysis and accurate results. If this aligns with your interests and aspirations, we have interesting positions for you.   You Believe-in & will align with our Business Objectives   Customer Obsession - Consistently listen to customers; test, enhance and improve the customer experience.Breakthrough Simplicity - An innovative approach to make everything simpler Diving Deep -Technique used to arrive at a solution-based approach to problem solving and idea creation Drive for Results - Focus on end result of any task Encourage and Improve - Encouraging and promoting team work and focus on continuous self-development at every stage. Be Ethical and Respectful - Willingness to do the right thing – even if it is hard; courteousness and being focused on the best in others.   You Will Enjoy   Our start-up environment - fun, casual, informal, family & pet-friendly! Ours is a highly energized playground where brilliant minds come together to make bold, impactful decisions every day! Needless to say, we have excellent filter coffee and health drinks round the clock, lunch buffets, PS4 and Foosball breaks and a stocked kitchen. We play to win and have fun doing it! We work to engage your brain by organizing brilliant TechTalks by industry leaders and frequent high-on-energy hackathons and engage your crazy fun-side at our well-planned retreats. We are a highly eco-conscious team and we encourage and support our team’s physical & mental wellbeing. All these and a great set of people to work with - We Are Crediwatch!

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