データを活用してお客様の抱える課題の解決や新事業の推進を実現・支援します。統計、最適化、機械学習などの数理的な専門知識だけでなく、お客様のビジネスに対する理解やシステムの知見を生かし、企業にとっての最適なソリューションの実現に向けた活動を実施します。
業務内容一例
・AIやIoTなどのデータ活用構想
・データ活用構想に基づくPoC
・データ活用構想に基づく本番業務・システム導入支援 など
<募集職種の期待役割>
データ分析技術やAIモデルに関する知識ノウハウを活用し、お客さまの業務に対するAI活用、アナリティクスの導入を主導していただくことを期待しています。
具体的には、「中長期的にみたデータ利活用はどうあるべきか」というデータ活用構想の検討から、データ活用構想に基づくPoCや本番業務・システムの設計・開発・導入支援、AIモデルの運用とその改善に至るまで幅広くご参画いただきます。
特に注力いただく領域については、面接・面談を通じてご意向や得意領域のすり合わせを行った上で、決定させていただきます。
<携わるビジネス・サービス・テーマ>
データ活用を主眼としたア...
【求める人材】
[必須要件]※業界不問/製品不問/文理不問
お客様の事業・システムを理解し、提案できるスキル
基本的な統計スキル
数理最適化や機械学習のスキル
基本的なデータベースに関するスキル
Pythonによるプロトタイプの実装スキル
【求める志向】
データ分析技術の活用によるビジネスモデル変革実現への強い関心
自らSQL文による集計・データ加工を実施する業務遂行力
クラウドへの強い関心
画像/音声解析、自然言語処理などへの強い関心
英語による専門的な論文や説明書などを読み、トラブルに対処する問題解決力
<実務経験5年以上の方>
事業/ビジネスの深い知見を有し、データによるビジネス課題分析、データ活用による課題解決の提案/実行支援において、中核的な役割を果たした経験
データアナリスト/データサイエンティストとして、データ分析に関する経験
統計学/機械学習に関する経験
PythonやRなどデータ分析に必要となるプログラミング言語の利用経験
[歓迎要件]
□統計検定2級以上(JSSC)
□Kaggle Expert以上
□Kag...
【給与】
760万円~1600万円
※上記年収レンジは目安です。前職の給与・スキル・経験等を考慮の上、当社規定により決定致します。 ※メンバー職はフレックスタイム制を適用(コアタイム10:00~15:00、1日7:30労働)
【勤務地】
東京都
【勤務時間】
09:00~18:00
【雇用・契約形態】
【待遇・福利厚生】
保険制度:健康保険、労災保険、雇用保険
年金制度:厚生年金、確定拠出年金(会社が拠出し付与。付与額は職種により異なる)、退職一時金(確定拠出年金とは別に会社が拠出し付与。付与額は職階により異なる)◎通勤手当 ◎残業手当 ◎住宅手当 教育研修:コンサル・ITスキル講座、DX人材育成プログラム、社費留学生制度(海外)、語学研修、資格取得支援 など その他福利厚生:保養所(全国各地・ハワイ)、従業員持株会、財形貯蓄 など
【休日・休暇】
◎完全週休2日制(土日、祝日) ◎暑中休暇(有給連続5日間、土日含め連続9日間取得可) ◎リフレッシュ休暇(有給連続5日間、土日含め連続9日間取得可) ◎育児休暇 ◎産前・産後休暇 ◎マタニティ有給休暇 ◎パートナー出産休暇 ◎介護休暇 ほか ◎有給休暇:初年度17日(入社時に付与。入社初年度はご入社月により付与日数が変動有)、在籍年数により最高23日付与
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