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Data Science Jobs

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

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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Best in industry{{renderSalaryString({min: 300000, max: 700000, duration: "undefined", currency: "INR", equity: false})}}

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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Best in industry{{renderSalaryString({min: 500000, max: 1000000, duration: "undefined", currency: "INR", equity: false})}}

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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Management Trainee
Management Trainee

Founded 2018
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Navi Mumbai, Mumbai
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0 - 0 years
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As intern learn all the work done by the CEO and MD and assist as required in the fields mentioned in the skill set.

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Data Scientist
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: 1000000, max: 2000000, duration: "undefined", currency: "INR", equity: false})}}

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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Sr Data Scientist
Sr Data Scientist

Founded 2010
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Chennai
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3 - 19 years
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Best in industry{{renderSalaryString({min: 800000, max: 5000000, duration: "undefined", currency: "INR", equity: false})}}

Role Description:• Role involves a combination of hands-on contribution being a technical SME, customerengagement and technical team management.• Lead data science aspects of client engagements on their own end to end, effortlesslyswitching between roles of an Individual Contributor, team member and data sciencemanager as demanded by each project• Work closely with project team, Customer stakeholders and internal Business Units indevising creative analytical approaches to solve business problems.• Developing and enhancing algorithms and models to solve business problem.• Maintaining all models along with developing and updating code and process documentation.Skills:• Demonstrated analytic, quantitative, and programming skills.• Proficiency in a structured programming language is a must - knowledge of one ofstatistical/general purpose scripting languages software such as R / Python is mandatory.• Strong SQL, Microsoft Excel, PowerPoint skills.• Experience in designing data science solution approaches to unstructured problems,conducting quantitative analyses and interpreting results.• Excellent written and verbal communication skills.• Organized, structured and reliable while being an effective problem solver• Proficiency in data science approaches, machine learning algorithms and statisticalmethods.Qualification and Experience:• 8+ years exp of which 5 years of relevant data science experience including hands-onprogramming in one (or more) of the above languages.• Minimum 5 years spent with Analytics teams of reputed consultants and IT/ITES companiesdoing statistical modelling using above tools.• B. Tech / M.Tech / MS from Tier-1 college (IITs, NITs, IIITs etc.) is preferred

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Data Scientist
Data Scientist

via zyoin
Founded 2005
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Bengaluru (Bangalore)
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8 - 12 years
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Best in industry{{renderSalaryString({min: 5000000, max: 9000000, duration: "undefined", currency: "INR", equity: false})}}

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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Senior Data Scientist
Senior Data Scientist

Founded 2018
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Remote, Chennai
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9 - 25 years
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Best in industry{{renderSalaryString({min: 800000, max: 2500000, duration: "undefined", currency: "INR", equity: false})}}

Responsibilities Research and test novel machine learning approaches for analysing large-scale distributed computing applications. Develop production-ready implementations of proposed solutions across different models AI and ML algorithms, including testing on live customer data to improve accuracy,  efficacy, and robustness Work closely with other functional teams to integrate implemented systems into the SaaS platform Suggest innovative and creative concepts and ideas that would improve the overall platform ‍ Qualifications The ideal candidate must have the following qualifications: 5 + years experience in practical implementation and deployment of large customer-facing ML based systems. MS or M Tech (preferred) in applied mathematics/statistics;  CS or Engineering disciplines are acceptable but must have with strong quantitative and applied mathematical skills In-depth working, beyond coursework, familiarity with classical and current ML techniques, both supervised and unsupervised learning techniques and algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimization Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python is a must 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   Most importantly, you should be someone who is passionate about building new and innovative products that solve tough real-world problems. Location Chennai, India

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Data Scientist
Data Scientist

Founded 2015
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Vadodara
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4 - 10 years
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Best in industry{{renderSalaryString({min: 1500000, max: 2000000, 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 of 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 ‘productizing’ 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

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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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Best in industry{{renderSalaryString({min: 600000, max: 1200000, duration: "undefined", currency: "INR", equity: false})}}

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

Founded 2001
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Mumbai
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2 - 4.6 years
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Best in industry{{renderSalaryString({min: 300000, max: 600000, duration: "undefined", currency: "INR", equity: false})}}

We are Still Hiring!!! Dear Candidate, This email is regarding open positions for Data Engineer Professionals with our organisation CRMNext. In case, you find the company profile and JD matching your aspirations and your profile matches the required Skill and qualifications criteria, please share your updated resume with response to questions. We shall reach you back for scheduling the interviews post this. About Company: Driven by a Passion for Excellence Acidaes Solutions Pvt. Ltd. is a fast growing specialist Customer Relationship Management (CRM) product IT company providing ultra-scalable CRM solutions. It offers CRMNEXT, our flagship and award winning CRM platform to leading enterprises both on cloud as well as on-premise models. We consistently focus on using the state of art technology solutions to provide leading product capabilities to our customers. CRMNEXT is a global cloud CRM solution provider credited with the world's largest installation ever. From Fortune 500 to start-ups, businesses across nine verticals have built profitable customer relationships via CRMNEXT. A pioneer of Digital CRM for some of the largest enterprises across Asia-Pacific, CRMNEXT's customers include global brands like Pfizer, HDFC Bank, ICICI Bank, Axis Bank, Tata AIA, Reliance, National Bank of Oman, Pavers England etc. It was recently lauded in the Gartner Magic Quadrant 2015 for Lead management, Sales Force Automation and Customer Engagement. For more information, visit us at www.crmnext.com Educational Qualification: B.E./B.Tech /M.E./ M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory) 60% in Xth, XIIth /diploma, B.E./B.Tech/M.E/M.Tech/ MCA with (Bsc.IT/Bsc. Comp/BCA is mandatory) All education should be regular (Please Note - Degrees through Distance learning/correspondence will not consider) Exp level- 2 to 5 yrs Location-Andheri (Mumbai) Technical expertise required: 1)Analytics experience in the BFSI domain is must 2) Hands on technical experience in python, big data and AI 3) Understanding of datamodels and analytical concepts 4) Client engagement : Should have run in past client engagements for Big data/ AI projects starting from requirement gathering, to planning development sprints, and delivery Should have experience in deploying big data and AI projects First hand experience on data governance, data quality, customer data models, industry data models Aware of SDLC.   Regards,Deepak SharmaHR Team

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Data Scientist
Data Scientist

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Founded 2005
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Bengaluru (Bangalore)
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5 - 10 years
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Best in industry{{renderSalaryString({min: 2000000, max: 4000000, duration: "undefined", currency: "INR", equity: false})}}

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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Founded 2005
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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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