<prompt> Hlahisa lenane la likhetho tse hlano tsa mesebetsi bakeng sa Setsebi sa Boitsebisonan  <response>: Instruction in English: Generate a list of five career options for a Data Scientist . Response in English: 1. Machine Learning Engineer: A data scientist with expertise in designing and implementing machine learning models can work as a machine learning engineer, using their skills to develop and deploy predictive models for various business and organizational needs.2. Business Intelligence Analyst: A data scientist with a strong understanding of business processes and data analysis can work as a business intelligence analyst, responsible for analyzing and interpreting data to provide insights that can help organizations make informed decisions.3. Data Architect: A data scientist with experience in data management, databases, and data architecture can work as a data architect, designing the structure and storage systems for large quantities of data.4. Risk Analyst: A data scientist with a background in finance, statistics, and data analysis can work as a risk analyst, using their skills to assess the potential risks and uncertainties facing an organization and helping them make informed decisions.5. Marketing Analyst: A data scientist with expertise in analysis of consumer behavior using data science can work as a marketing analyst, helping companies better understand their target markets, identify new business opportunities, and develop and evaluate marketing strategies. . Response in Sesotho: 1. Moenjiniere oa ho Ithuta ka Mochini: Setsebi sa data se nang le tsebo ea ho qapa le ho kenya tsebetsong mekhoa ea ho ithuta mochine a ka sebetsa e le moenjiniere oa ho ithuta mochine, a sebelisa tsebo ea bona ho hlahisa le ho sebelisa mekhoa ea ho bolela esale pele bakeng sa litlhoko tse sa tšoaneng tsa khoebo le tsa mokhatlo. 2. Business Intelligence Analyst: Setsebi sa data se nang le kutloisiso e matla ea mekhoa ea khoebo le tlhahlobo ea data e ka sebetsa e le mohlahlobi oa bohlale ba khoebo, ea ikarabellang bakeng sa ho hlahloba le ho hlalosa lintlha ho fana ka lintlha tse ka thusang mekhatlo ho etsa liqeto tse nepahetseng. 3. Data Architect: Setsebi sa data se nang le phihlelo ea ho laola lintlha, li-database, le meralo ea data a ka sebetsa e le setsebi sa meralo ea data, ho etsa moralo le mekhoa ea polokelo bakeng sa boitsebiso bo bongata. 4. Mohlahlobi oa Likotsi: Setsebi sa data se nang le semelo sa lichelete, lipalo-palo le tlhahlobo ea lintlha se ka sebetsa e le mohlahlobi oa likotsi, a sebelisa tsebo ea bona ho hlahloba likotsi tse ka nang tsa e-ba teng le ho se tsitse ho tobaneng le mokhatlo le ho ba thusa ho etsa liqeto tse nang le tsebo. 5. Mohlahlobi oa Lipapatso: Setsebi sa boitsebiso bo nang le tsebo ea ho hlahloba boitšoaro ba bareki ka ho sebelisa saense ea boitsebiso bo ka sebetsa e le mohlahlobi oa papatso, ho thusa likhamphani ho utloisisa hamolemo limmaraka tsa bona tse lebisitsoeng, ho tseba menyetla e mecha ea khoebo, le ho ntshetsa pele le ho hlahloba mekhoa ea ho rekisa. 