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data scientist

scientist

As a Data Scientist, you will design, develop, deploy predictive models machine learning solutions to solve complex business challenges. You’ll collaborate with data engineers, business analysts, clients to translate requirements scalable data products, from concept to production.
This role is ideal fsomeone passionate about statistical modelling, machine learning, deriving actionable insights from large datasets.
Key Responsibilities
1. Develop robust data models conduct feature engineering to improve model performance
2. Perform exploratory data analysis (EDA) to uncover patterns, trends, insights
3. Collaborate with data engineers to build optimize data pipelines fmodel training inference
4. Evaluate model performance using appropriate metrics validation techniques
5. Deploy models production environments in collaboration with ML engineers DevOps teams
6. Communicate findings recommendations to technical non-technical stakeholders through visualizations reports
7. Stay up to date with emerging trends in AI/ML apply best practices in model interpretability, fairness, MLOps
Requirements
1. Bachelor’s Master’s degree in Data Science, Computer Science, Statistics, Mathematics, a related field
2. 3+ years of experience in data science machine learning roles
Strong proficiency in Python (e.g., pandas, scikit-learn, NumPy, statsmodels)
3. Experience with data modelling, feature engineering, statistical analysis
4. Familiarity with MLOps tools (e.g., MLflow, Kubeflow, Airflow) cloud platforms (AWS, GCP, Azure)
5. Knowledge of SQL database systems
6. Experience with version control (Git) collaborative development workflows
7. Strong analytical thinking problem-solving skills
更新于 2025-12-03
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該崗位也可以base在蘇州工廠辦公
This position is expected to:
We are seeking an experienced SeniData Scientist to lead our machine learning initiatives.
As a key member of our digital transformation team, the successful candidate will be responsible fdriving forward our data-driven projects, ensuring that we leverage advanced analytics machine learning to optimize business processes enhance decision-making capabilities.
Primary Duties Responsibilities
? Lead the conception, design, development, deployment of machine learning models to address business challenges opportunities.
? Collaborate with cross-functional teams to identify areas where machine learning can add value develop solutions that drive efficiency innovation.
? Utilize Python fprogramming tasks, including but not limited to data preprocessing, algorithm implementation, model testing.
? Perform data analysis to derive insights inform strategic decisions, using statistical methods data visualization tools.
? Develop maintain applications on Microsoft platforms to support data processing analytics workflows.
? Ensure the quality reliability of machine learning systems through rigorous testing validation procedures.
? Stay current with emerging trends technologies in the field of artificial intelligence digitalization to keep the company at the forefront of innovation.
? Other tasks assigned by manager.
Required Qualifications
? Master’s degree in Computer Science, Data Science, Statistics, Engineering, a related field; PhD’s degree preferred.
? Proven experience (minimum 3-5 years) in a similar role, with a focus on machine learning projects.
? Proficiency in programming languages such as Python, SQL, OOP languages like C# Java.
? Experience with data analysis, statistical modeling, machine learning techniques. Strong analytical critical thinking skills to identify patterns trends within data.
? Experience with computer vision, NLP, LLMs fdeveloping advanced AI models.
更新于 2026-03-07
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工資待遇區(qū)別

崗位名稱
平均工資
較上年
¥31.8K
--
¥29.3K
--
說明:data scientist和scientist哪個工資高?data scientist高于scientist。data scientist平均工資¥31.8K/月,2026年工資¥K,scientist平均工資¥29.3K/月,2026年工資¥K,統(tǒng)計依賴于各大平臺發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會影響客觀性,僅供參考。

就業(yè)前景區(qū)別(歷年招聘趨勢)

崗位名稱
2025年職位量
較2024年
733
+18%
說明:data scientist和scientist哪個就業(yè)前景好?data scientist2025年招聘職位量 86,較2024年增長了 13%。scientist2025年招聘職位量 733,較2024年增長了 18%。統(tǒng)計依賴于各大平臺發(fā)布的公開數(shù)據(jù),系統(tǒng)穩(wěn)定性會影響客觀性,僅供參考。

學(xué)歷要求區(qū)別

本科 65.7%
碩士 22.9%
博士 8.6%
大專 2.9%
本科 35.8%
碩士 32.5%
博士 26.2%
不限學(xué)歷 4.3%
大專 1.1%
說明:data scientist和scientist的區(qū)別? data scientist需要什么學(xué)歷?本科占65.7%,碩士占22.9%,博士占8.6%,大專占2.9%。 scientist需要什么學(xué)歷?本科占35.8%,碩士占32.5%,博士占26.2%,不限學(xué)歷占4.3%,大專占1.1%。

經(jīng)驗要求區(qū)別

5-10年 40.0%
不限經(jīng)驗 25.7%
3-5年 20.0%
1-3年 14.3%
5-10年 30.9%
不限經(jīng)驗 30.6%
3-5年 22.8%
1-3年 14.2%
應(yīng)屆畢業(yè)生 1.5%
說明:data scientist和scientist的區(qū)別? data scientist經(jīng)驗要求哪個最多?5-10年占40.0%,不限經(jīng)驗占25.7%,3-5年占20.0%,1-3年占14.3%。 scientist經(jīng)驗要求哪個最多?5-10年占30.9%,不限經(jīng)驗占30.6%,3-5年占22.8%,1-3年占14.2%,應(yīng)屆畢業(yè)生占1.5%。

scientist與其他崗位進(jìn)行PK