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| 部署・役職名 | Commercial Analytics Team / Advanced Analyst / Data Scientist |
|---|---|
| 職種 | |
| 業種 | |
| 勤務地 | |
| 仕事内容 |
＜職務内容＞ ■Overall Job Purpose ・The purpose of the Data Scientist role is to conduct analytics utilizing statistical and advanced analytics methodologies including AI/ML algorithms to answer business questions. The Data Scientist is also expected to provide consultation to business teams on appropriate design of experiments and methodologies to enable proper campaign setup and measurement, in addition to synthesizing and supporting the interpretation of results to drive business impact. ・While the Data Scientist will be conducting projects for Japan, they will have a chance to work closely with Global Advanced Analytics ＆ Data Sciences （AADS） Team in the US as well. ■Responsibilities ・Partner with Japan commercial business teams to identify, scope, and execute analytics efforts that answer business questions, solve business needs, and drive business value ・Maintain a broad understanding of the pharmaceutical business and be fully engaged with business teams, bringing an objective voice to the table, facilitating decisions grounded in data ・Collaborate with other analytics team members to review and provide feedback on the analytics being conducted, and be willing to seek feedback from other team members about your own work ・Stay current with respect to statistical/mathematical/informatics modeling methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected ・Collaborate with internal and external partners to design, develop and deploy enterprise－level analytics capabilities/solutions ・Enable cutting edge innovation in an area of data science such as machine learning, optimization, forecasting, or natural language processing ・Serve as a bridge between Global Advanced Analytics ＆ Data Sciences Team and Japan to enable shared learnings around capability building, new methodologies, and analytics results |
| 労働条件 |
【給与】参考月額基本給600,000円以上当社規定により優遇します 【諸手当】住宅手当、通勤交通費など 【昇給】有り 【賞与】年一回 個人業績結果及び会社業績結果に基づく業績変動賞与を翌年3月に支給する。 【勤務時間】8：45～17：30 【時間外手当】支給なし 【清算制フレックス勤務】適応あり。フレキシブルタイム：5時～22時内で勤務。（ただし、一斉休憩を除く）1日の必要最低労働時間：4時間（半日休暇時は2時間）一斉休憩：12時～13時 【在宅勤務制度】有 【受動喫煙対策】あり 就業場所 全面禁煙 【休日休暇】完全週休2日制（土・日曜日）、祝日、年末年始・夏期 ＊年間休日125日、年次有給休暇、慶弔等 【保険】雇用・労災・健康・厚生年金保険 【福利厚生】住宅援助制度、借上社宅制度、グループ補償制度（医療費・歯科医療費補助制度等） 【定年制】有（60歳） 【継続雇用制度】：有（65歳まで） 【有給休暇】 年途中で入社した社員に対する年次有給休暇は、次の入社月の区分に従い入社の翌月1日に付与さる。入社日にかかわらず、その年の12月31日をもって、勤続年数が1年経過したものとみなし、翌年1月1日に翌年度の年次有給休暇が付与される。 【試用期間】6か月間 試用期間中での賃金の違いはございません |
| 応募資格 |
【必須（MUST）】 ＜Basic Qualifications＞・M.S. or higher in Statistics, Econometrics, Operations Research, Computer Science, Engineering, Mathematics or closely related field ・Deep and broad knowledge of statistical modeling and data mining methods and/or optimization methods ・Proficiency with relevant programming languages （such as R, Python, SQL, SAS, Java, C＋＋, etc...） ・Agility and flexibility to work with very diverse problems and business partners in a fast paced multilingual ＆ international environment ・Ability to work with diverse data sources and data types ・Self－management skills with a focus on results for timely and accurate completion of competing deliverables ・Business level proficiency in Japanese and English ＜Preferred Skills/Qualifications＞ ・Strong leadership and communication skills ・Advanced knowledge of machine learning methods in processing unstructured data ・Experience in deep learning frameworks ・Publications in leading journals or conferences ・Experience in pharmaceutical or related industry or in healthcare or management |
| 受動喫煙対策 | 屋内禁煙 |
| 更新日 | 2024/03/25 |
| 求人番号 | 3259195 |
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