Data Scientist Graduate Experience Jobs in Gurgaon

Excellent understanding of data administration and management functions(collection, analysis, distribution etc.)Familiarity with modern database and information system technologies Proficient in MS Office (Excel, Access, Word etc.)Must have a laptop with windows 10 and fast internet connection with minimum 30 Mbps.

Role: Data Science - TrainerExp: 3+ yrsLocation: GurgaonSalary: upto 25 LPA- 5 days workingThis role is best suited for:- Person with 3+ years experience of delivering data science training- Excellent understanding of data visualization, data storytelling, and how to think about data problems in a business context and solving them using Machine learning- High level proficiency in Machine Learning and Deep Learning algorithms- Rich experience in tools like R / Python- Strong problem solving and communication skills (English)- A passion for delivering and curating training contentRole:- Delivering and creating content for online/offline data science training- Inspire students to persevere through the challenges of learning a new suite of skills- Continuously learn new skills and evangelize them with in our community- Defining and leading our strategy in making data science easy and accessible to all

JOB POST: GM TECHNICALJOB DESCRIPTION Experience of over 5 years with aWe are looking for a GM Technical to provide sound technical leadership in all aspects of our business. He will be responsible for overseeing the development and dissemination of technology to ensure they are used appropriately. Strategic thinking and strong business acumen are essential in this role. We expect you to be well-versed in current technological trends and well updated with emerging technologies. In addition, you are required to be familiar with a variety of business concepts.RESPONSIBILITIES Develop technical aspects of the company's strategy to ensure alignment with its business goals Ensuring that technological resources meet the company's short and long-term needs Outline the goals for research and development Evaluating and implementing new systems and infrastructure Creating timelines for the development and deployment of all technological services Discover and implement new technologies that yield a competitive advantage Help departments use technology profitably Supervise system infrastructure to ensure functionality and efficiency Build quality assurance and data protection processes Monitor KPIs and IT budgets to assess technological performance Communicate technology strategy to partners and investors Staying on top of technology trends and developments Ensuring all technology practices adhere to regulatory standardsREQUIREMENTS Bachelors / Masters degree in Information Technology, Software Engineering, Computer Science, or related field. Proven experience as a CTO or similar leadership role Knowledge of technological trends to build a strategy Strong organizational and leadership skills Understanding of budgets and business-planning Ability to conduct technological analyses and research Excellent communication skills Leadership and organizational abilities Strategic thinking Problem-solving

Responsibilities Data mining and analysis using state-of-the-art methods Processing, cleansing, and verifying the integrity of data used for analyses Building and optimizing data models using machine learning techniquesSkills and QualificationsMust have: At least 2 years of experience working on data science projects delivered to external clients. Proficiency with programming languages: Python, PySpark, and SQL. Proficiency with common data science tools: Scikit-learn and at least one amongTensorFlow, Keras, PyTorch, or equivalent Experience with forecasting techniques using Time series methods and causal forecastingmethods Experience with applying supervised and unsupervised learning techniques on unstructuredand semi-structured data Experience with predictive modeling, deploying, and monitoring ML solutions in an iterativeor Agile/DevOps environment using lifecycle management methods and tools Degree in Statistics/Quantitative Analyses, Computer Science, Mathematics, OperationsResearch, or other related technical fields with equivalent practical experience Excellent English verbal and written communication skillsNice to have: Experience with Natural Language Processing (NLP) techniques. Familiarity with Microsoft Azure services and tools Experience with the agile methodology for data science projects.

Secondary research from Public data sourcesUse automated tools to extract dataData cleansing & fixing errorGood analytical skills with the ability to collect, organize, analyse, and disseminateignificant amounts of information with attention to detail and accuracy.Hands on experience on tools like LinkedIn, Hoovers, Zoominfo etc.. Strong knowledge of MS Office (Excel, Word) is a must.