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                                                    Job Description:  .  ● As a Data Analyst, in Delivery BI team you will enjoy diving deep into data, analyze large data sets, discovering root causes for major  .  problems, and designing long-term solutions.  .  ● The role is a highly impact-full and autonomous with goals that directly impact users’ experience, and the bottom line of the business.  .  ● The ideal candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to  .  think big while paying careful attention to details.  .  ● Generate and extract data needed for decision making.  .  ● Design and develop metrics, reports, analyses, and dashboards to drive key business and product decisions; improve performance and  .  reduce costs.  .  ● Conduct deep-diving data analysis for business insights and recommendations.  .  ● Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.  .  ● Produce written documentation to support your work, report on your findings and to present to stakeholders when necessary..

                                                    Job Description:  .  ● As a Data Analyst, in Delivery BI team you will enjoy diving deep into data, analyze large data sets, discovering root causes for major  .  problems, and designing long-term solutions.  .  ● The role is a highly impact-full and autonomous with goals that directly impact users’ experience, and the bottom line of the business.  .  ● The ideal candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to  .  think big while paying careful attention to details.  .  ● Generate and extract data needed for decision making.  .  ● Design and develop metrics, reports, analyses, and dashboards to drive key business and product decisions; improve performance and  .  reduce costs.  .  ● Conduct deep-diving data analysis for business insights and recommendations.  .  ● Combine knowledge of statistical methodology and analysis with programming skills to support complex analyses.  .  ● Produce written documentation to support your work, report on your findings and to present to stakeholders when necessary.

Data Analyst

استخدام Business Finance Analyst

استخدام کارشناس نصب نرم افزار (آقا)

استخدام (Senior Front-End Developer (React

استخدام کارشناس فروش میدانی

استخدام QA Test Engineer

استخدام Scrum Master

استخدام کارشناس فروش

استخدام Vendor Performance Manager

استخدام کارشناس فروش حضوری (قم)

استخدام کارشناس فروش میدانی(کرج)

استخدام UX Researcher

استخدام Product Designer

استخدام Senior Product Designer

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                                                    Responsibilities:  .  ●      Deal with open ambiguous complex problems.  .    .  ●      Passion for large-scale real-time industrial data mining and dealing with massive rogue and coarse data.  .    .  ●      Work with cross-functional stakeholders to understand the data needs of the company and ensure all new and existing product surfaces have the data they need to power the user experience, the business reporting, and the insights needed to drive further development.   .    .  ●      Engage broadly with the organization to identify, prioritize, frame, and structure complex and ambiguous challenges, where advanced analytics projects or tools can have the biggest impact.  .    .  ●      Translate business requirements into technical ones.  .    .  ●      Define logging needs in partnership with Data Engineers.  .    .  ●      Define the data science strategy for metrics and data models to ensure data is activated at scale.  .    .  ●      Apply and combine current and emerging machine learning and data mining techniques and methods in novel ways for a specific application.  .    .  ●      Architect, build, and launch efficient, reliable, robust, and scalable new data models and pipelines in partnership with software engineers and data engineers.  .    .  ●      Evaluate the technical tradeoffs of every decision.  .    .  ●      Create technical documentation for data models.  .    .  ●      Create advanced reports and models by combining multiple data sources to help inform business decisions and strategies.  .    .  ●      Transform real-world data into actionable insights using robust statistical methods and compelling data visualizations in formats accessible to a wide range of end-users.  .    .  ●      Design and develop dashboards to enable self-serve data consumption..
                                                     Requirements: .  -        Demonstrated skills in problem-solving and problem modeling (Strong knowledge of data structures and algorithm design is expected) .   .  -        Ability to work with cross-functional stakeholders to perform Business Understanding. .   .  -        Ability to deal with real-world massive industrial datasets and perform Exploratory Data Analysis. .   .  -        Provable research skills (having a published research paper is a plus) .   .  -        Proficiency in programming with Python (Familiarity with Java is a plus) .   .  -        Deep knowledge of linear algebra and statistics. .   .  -        Experience with classical machine learning techniques such as Naive Bayes, SVM, SVR, Logistic Regression, Decision Tree, Random Forest, K-Means, DBSCAN, etc, and tools such as scikit-learn. .   .  -        Experience with representation learning, deep neural networks, and tools such as TensorFlow2 and Keras. (Familiarity with TF Datasets, TFX, and SpaCy is a plus) .   .  -        Familiarity with large-scale and real-time machine learning applications such as Information Retrieval, Recommendation Systems, Anomaly Detection, Natural Language Processing, etc. .   .  -        Fluency in querying languages such as SQL/KSQL. .   .  -        Strong skills in distributed system optimization (e.g. Spark, Hadoop)   .   .  -        Experience with Data Viz techniques and tools such as Power BI, Tableau, D3.js, Kepler.gl, etc. .   .  -        Experience with stream processing tools like Apache Kafka, Apache Flink, and Apache Beam is a plus. .   .  -        Experience with an ETL framework like Airflow is a plus.   .   .  -        Experience with a cloud-native ML workflow platform such as Kubeflow is a plus.

Senior Data Scientist

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                                                    Job Description:  .  Develop and monitor retention and biker activity KPIs  .  Develop and monitor Bikers' experience KPIs  .  Analysis Bikers’ behavior  .  Develop Scoring system for biker performance management  .  Monitor scoring system performance and effect  .  Onboarding, Retention and reactivation policy development and process management   .  Develop solutions and processes for improving biker experience.

                                                    Job Description:  .  Develop and monitor retention and biker activity KPIs  .  Develop and monitor Bikers' experience KPIs  .  Analysis Bikers’ behavior  .  Develop Scoring system for biker performance management  .  Monitor scoring system performance and effect  .  Onboarding, Retention and reactivation policy development and process management   .  Develop solutions and processes for improving biker experience

Biker Engagement Manager

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  .  •        Maintaining and monitoring project plans, project schedules, and performance of the team assigned to the project.  .    .  •        Organizing, attending and participating in stakeholder meetings.  .    .  •        Documenting and following up on important actions and decisions from meetings.  .    .  •        Preparing necessary presentation materials.  .    .  •        Ensuring project deadlines are met.  .    .  •        Determining project changes.  .    .  •        Undertaking project tasks as required.  .    .  •        Ensuring projects adhere to frameworks and all documentation is maintained appropriately for each project.  .    .  •        Ensure stakeholder views are managed towards the best solution.  .    .  •        Create a project management calendar for fulfilling each goal and objective.  ..
  .  •        Maintaining and monitoring project plans, project schedules, and performance of the team assigned to the project.  .    .  •        Organizing, attending and participating in stakeholder meetings.  .    .  •        Documenting and following up on important actions and decisions from meetings.  .    .  •        Preparing necessary presentation materials.  .    .  •        Ensuring project deadlines are met.  .    .  •        Determining project changes.  .    .  •        Undertaking project tasks as required.  .    .  •        Ensuring projects adhere to frameworks and all documentation is maintained appropriately for each project.  .    .  •        Ensure stakeholder views are managed towards the best solution.  .    .  •        Create a project management calendar for fulfilling each goal and objective.  .

Delivery Project Manager

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                                                    Coordinate with hiring managers to identify staffing needs  .  Determine selection criteria  .  Source potential candidates through online channels (e.g. social platforms and professional networks)  .  Plan interview and selection procedures, including screening calls, assessments and in-person interviews  .  Assess candidate information, including resumes and contact details, using our Applicant Tracking System  .  Design job descriptions and interview questions that reflect each position’s requirements  .  Forecast quarterly and annual hiring needs by department  .  Foster long-term relationships with past applicants and potential candidates  ..

                                                    Coordinate with hiring managers to identify staffing needs  .  Determine selection criteria  .  Source potential candidates through online channels (e.g. social platforms and professional networks)  .  Plan interview and selection procedures, including screening calls, assessments and in-person interviews  .  Assess candidate information, including resumes and contact details, using our Applicant Tracking System  .  Design job descriptions and interview questions that reflect each position’s requirements  .  Forecast quarterly and annual hiring needs by department  .  Foster long-term relationships with past applicants and potential candidates  .

Talent Acquisition Specialist

کارشناس فروش شهرستان مسئولیت جستجو و یافتن وندورهای مناسب، عقد قرارداد با آنها و پروسه ی نگهداری از آنها را برعهده دارد. وظایف قسمت جذب وندورها شامل این موارد است: &nbsp;جمع آوری اطلاعات مفید از بازار و شناسایی وندورهای مناسب &nbsp; &nbsp;هدف قرار دادن وندورها و برقراری تماس با آنها برگزاری جلسه مذاکره و انعقاد قرارداد با وندورها دریافت کامل قرارداد و اطلاعات محصول وندورها *وندورها شامل مغازه ها و فروشگاه هایی هستند که به فراخور نوع کالایی که دارند شناسایی میشوند و فرآیند مذاکره با آنها انجام میگیرد.&nbsp; نیازمندی های این موقعیت شغلی: روحیه و پشتکار قوی &nbsp;توانایی مذاکره مزایا: &nbsp;فرصتی جذاب برای آموزش تکنیک های روز فروش حقوق ثابت 6 میلیون تومان &nbsp;پورسانت عالی (مجموع دریافتی بیش از 14 میلیون تومان) &nbsp;بیمه تامین اجتماعی بیمه تکمیلی رایگان

کارشناس فروش میدانی - اصفهان 

نیازمندی ها : <ul> <li>اطلاع از نیاز واحدها و بخش های مختلف</li> <li>تحقیق کردن و شناسایی محصولات و تامین کنندگان</li> <li>آشنایی با انواع کالاهای مورد نیاز سازمان</li> <li>ارزیابی مناقصه ها و مزایده ها برای انتخاب تامین کنندگان جهت کسب بهترین استعلام قیمت ها</li> <li>تسلط به مذاکره بر سر قیمت و توافق روی قراردادها</li> <li>آشنایی با عقد قراردادهای خرید و خدمات و پیمانکاری&nbsp;</li> <li>آشنایی با قوانین مالی و مالیاتی در ارتباط با تسویه حساب با تامین کنندگان</li> <li>آشنایی با تنظیم اسناد خرید و هزینه</li> </ul> مهارت ها : <ul> <li>روابط عمومی بالا&nbsp;</li> <li>مهارت در انجام مذاکره &nbsp;و کسب نتیجه مطلوب و مورد نظر&nbsp;</li> <li>توانایی خوب در تحلیل و قضاوت&nbsp;</li> <li>دقت و توجه در جزییات&nbsp;</li> <li>مهارت های رهبری و توانایی کار تیمی&nbsp;</li> <li>داشتن نظم کاری</li> <li>آشنایی به اکسل</li> </ul> جنسیت : آقا سن : حداکثر 35 سال مدرک تحصیلی : حداقل کارشناسی رشته تحصیلی : اولویت با مدیریت بازرگانی&nbsp; سابقه کار مرتبط : حداقل 5 سال

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