<prompt> Etsa lethathamo la mesebetsi ho hohela batho ba tšoanelehang haholo.Setsebi sa Boitsebiso  <response>: Instruction in English: Create a job listing to attract the most qualified candidates. . Response in English: Job Overview: We are seeking a highly skilled and motivated Data Scientist to join our dynamic team. The successful candidate will work on developing and implementing advanced analytical techniques and machine learning algorithms to solve challenging problems, extract insights from data, drive informed decision-making and create data-driven solutions.As a Data Scientist, your role will involve:- Analyzing complex data sets using statistical and machine learning methods- Developing predictive and prescriptive models to support business initiatives- Collaborating with cross-functional teams to provide data-driven insights and strategies- Designing experiments and interpreting results to drive product development and improvement- Communicating technical findings to non-technical stakeholders in a clear and concise mannerQualifications: - Advanced degree in a quantitative field such as Computer Science, Statistics, Mathematics, or Engineering- Solid understanding of statistical analysis, predictive modeling, and machine learning algorithms- Proficient in programming languages such as R or Python and experience with data manipulation and visualization tools- Strong problem-solving skills and the ability to think critically and creatively- Excellent communication skills and the ability to work in a team environmentIf you are passionate about using data to drive insights and decisions, we want to hear from you. Please apply to this position to be considered for this exciting opportunity. We offer a competitive salary and benefits package, as well as opportunities for career growth and advancement. . Response in Sesotho: Kakaretso ea Mosebetsi: Re ntse re batla Setsebi sa data se nang le boiphihlelo le se khothalelitsoeng ho kenela sehlopha sa rona se mafolofolo. Mokhethoa ea atlehileng o tla sebetsa ho ntsetsapele le ho kenya tsebetsong mekhoa e tsoetseng pele ea tlhahlobo le li-algorithms tsa ho ithuta ka mochini ho rarolla mathata a phephetsang, ho ntša lintlha ho tsoa ho data, ho khanna ho etsa liqeto ka tsebo le ho theha litharollo tse tsamaisoang ke data. Joaloka Data Scientist, karolo ea hau e tla kenyelletsa: - Ho sekaseka li-data tse rarahaneng ka mekhoa ea lipalo-palo le ea ho ithuta ka mochini - Ho theha mefuta e boletsoeng esale pele le e reriloeng ho tsehetsa matsapa a khoebo - Ho sebelisana moho le lihlopha tse fapaneng ho fana ka lintlha le maano - Ho etsa liteko le maano. ho toloka liphetho ho tsamaisa ntsetsopele le ntlafatso ea sehlahisoa - Ho buisana le ba amehang bao e seng litsebi tsa tekheniki ka tsela e hlakileng le e khutsoane Litšoaneleho: - Tekanyo e tsoetseng pele lefapheng la lipalo joalo ka Computer Science, Statistics, Mathematics, kapa Engineering - Kutloisiso e tiileng ea tlhahlobo ea lipalo, ho etsa mohlala, le mekhoa ea ho ithuta ka mochini - E tseba lipuo tsa mananeo tse kang R kapa Python le boiphihlelo ka lisebelisoa tsa manollo le pono - Tsebo e matla ea ho rarolla mathata le bokhoni ba ho nahana ka botebo le ka boqapi - Tsebo e ntle ea puisano le bokhoni ba ho sebetsa ka mokhoa o hlakileng. tikoloho ea sehlopha Haeba u rata ho sebelisa data ho tsamaisa lintlha le liqeto, re batla ho utloa ho tsoa ho uena. Ka kopo, etsa kopo ea boemo bona hore bo nahaneloe bakeng sa monyetla ona o monate. Re fana ka moputso oa tlholisano le sephutheloana sa melemo, hammoho le menyetla ea kholo ea mosebetsi le tsoelopele. 