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Data Scientist (Middle/Senior)

Everfit
Joy Everyday
Our Beautiful Office in Da Nang, AI Labs
Company Retreats
+2
12A, Vietinbank building, 36 Tran Quoc Toan, Da Nang, Quận Hải Châu, Đà Nẵng
Tại văn phòng
Đăng 17 giờ trước
Chuyên môn:
Lĩnh vực:
Dịch vụ Blockchain & Web3
Thực Phẩm và Đồ Uống
Hàng Tiêu Dùng
Thương Mại Điện Tử
Thể thao và Thể hình

3 Lý do để gia nhập công ty

  • AI-first company shaping the future of fitness
  • Join a passionate global team across VN, US, & UK
  • Collaborative team valuing joy & creativity

Mô tả công việc

  • Advanced Analytics & Modeling: Develop and implement machine learning models to predict client behavior, engagement, and retention, improving overall platform performance.
  • User & Trainer Insights: Analyze data to uncover patterns in user behavior and trainer effectiveness, providing actionable insights to enhance both client and trainer experience.
  • Personalized Fitness Solutions: Create algorithms and predictive models to personalize fitness programs for clients based on historical data, goals, and preferences.
  • Data Visualization & Reporting: Build dynamic dashboards and visualizations to communicate findings to key stakeholders, ensuring insights are easily accessible and actionable.
  • Collaboration & Product Optimization: Work with product, engineering, and marketing teams to integrate data science solutions into the Everfit platform, helping shape new features and refine user experience.
  • Experimentation: Conduct A/B testing and experiments to optimize the platform’s features, user onboarding, and engagement strategies.
  • Data Integrity & Quality: Ensure that data pipelines are clean, accurate, and processed efficiently to support reliable decision-making and model building.

Yêu cầu công việc

  • Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • 4+ years of experience in data science, machine learning, and statistical analysis
  • Strong proficiency in programming languages (e.g., Python, R) and data analysis tools (e.g., SQL, Scikit-learn).
  • Knowledge of Cloud platforms (e.g. AWS) and Fivetran, Databricks, Hightouch
  • Solid understanding of machine learning algorithms, data modeling, and statistical techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
  • Strong problem-solving skills and the ability to build scalable, data-driven solutions.
  • Excellent communication skills, with the ability to present technical findings to non-technical stakeholders.
  • Good English proficiency

Nice to have:

  • Experience with fitness or wellness-related platforms, particularly in personal training or health technology.
  • Familiarity with time-series analysis, recommendation systems, and natural language processing (NLP) for client communication insights.

Tại sao bạn sẽ yêu thích làm việc tại đây

Compensation & Benefits:

  • Competitive salary with 13th-month pay and performance bonus.
  • Quarterly performance bonuses and year-end awards.
  • Paid sick leave, maternity leave, and vacation days.
  • Full social insurance coverage and premium healthcare benefits

Work Environment:

  • Agile-Scrum methodology with flexible work hours.
  • Talented people from all over Vietnam and the world.
  • International team for global career growth.
  • State-of-the-art equipment provided.
  • Beautiful working environment near Danang's city center (Dragon Bridge) and Hanoi office.

Health & Wellness:

  • PVI health care program & annual health checks.
  • Sports clubs (football, badminton, pickle-ball) & company retreats.
  • Modern pantry for relaxation.
  • Monthly workshop

Professional Growth:

  • Training, mentoring & e-learning opportunities.
  • 1-2 performance reviews annually.
  • Potential opportunities to join a fast-growing company.

Come build the future with us

Mô hình công ty
Sản phẩm
Lĩnh vực công ty
Sản Phẩm Phần Mềm và Dịch Vụ Web
Quy mô công ty
51-150 nhân viên
Quốc gia
United States
Thời gian làm việc
Thứ 2 - Thứ 6
Làm việc ngoài giờ
Phí OT đã tính vào lương

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