Opportunities to make career in analytics and data science are growing greatly. The data management specialist manages data and infrastructures which support it. Your responsibilities involve skills of analytics, programming, statistical analysis, mathematical reasoning and business communication. Also, analytic mindset and knowledge of programming language to query and process the statistical data, knowing tools of data visualization are required. Data scientist should use statistical, analytical and technical approach. Usually, the data scientists lead the project from start to finish. You are able to earn for your living being a freelancer data scientist, but you should be active and to enable all available resources in full production. The best way to introduce yourself is to create a professional portfolio which describes your experience and achievements. Companies use portfolios to appraise if you are the right person for their contract. You tell about your motivations and strong points in portfolio. Your website shouldn't be complex for your potential employer in navigation and finding all necessary information. You should always strive for new knowledge and improve your abilities and skills. Communication skills are essential as well. Stay connected with your clients when the project is finished. They can be reference of your skills and done work. There is a variety of data science forums where specialists share their ideas, exchange knowledge and cooperate. Communication in such groups is a good advertisement of your skills and abilities. Here you can establish yourself as a significant employee. A great part of freelance jobs in data science and analytics can be found at online freelance networks, so you should enlarge your presence and increase visibility for employers who are searching for your skills.