Overview:
We are looking for a talented and experienced Data Scientist to join our dynamic team. As a Data
Scientist, you will leverage your analytical skills and expertise in machine learning to extract insights from
complex datasets and drive data-driven decision-making across our organization. You will collaborate
closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve
challenging business problems.
Responsibilities
Data Analysis and Exploration
• Analyze large, complex datasets to identify trends, patterns, and relationships.
• Conduct exploratory data analysis (EDA) to gain insights and formulate hypotheses.
• Utilize statistical methods and data visualization techniques to communicate findings effectively.
Predictive Modeling and Machine Learning
• Develop and deploy predictive models using machine learning algorithms.
• Perform feature engineering, model selection, and hyperparameter tuning to optimize model
performance.
• Evaluate model accuracy, precision, recall, and other performance metrics.
Data Mining and Pattern Recognition
• Apply data mining techniques to extract actionable insights from structured and unstructured
data.
• Identify patterns and anomalies in data to detect fraud, predict customer behavior, or optimize
business processes.
• Implement clustering, classification, regression, and other machine learning algorithms as
needed.
Experimentation and A/B Testing
• Design and conduct experiments to test hypotheses and validate model assumptions.
• Implement A/B testing frameworks to evaluate the impact of changes and interventions.
• Analyze experimental results and provide recommendations for further optimization.
Collaboration and Communication
• Collaborate with cross-functional teams, including engineers, product managers, and business
stakeholders.
• Translate technical findings into actionable insights and recommendations for non-technical
audiences.
• Present findings and proposals in clear, concise, and compelling ways.
Requirements:
• Advanced degree (Master's or Ph.D.) in Computer Science, Physics, Statistics, Mathematics, Economics,
or related field.
• Proven experience in data science, machine learning, or predictive analytics roles.
• Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.).
• Strong understanding of statistical analysis, hypothesis testing, and experimental design.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn,
PyTorch, etc.).
• Familiarity with data visualization tools and techniques (e.g., Matplotlib, ggplot, Tableau, etc.).
• Excellent problem-solving and analytical skills with attention to detail.
• Effective communication and collaboration abilities in a team environment.
• Ability to manage multiple projects and prioritize tasks effectively.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered
- List the most important qualifications in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
- Related duties should be combined
These will help you stand out
- List the most important nice-to-haves in descending order
- Top 5 most important contributions in descending order
- Only go beyond 5 if absolutely necessary
- Be concise but informative
We're excited to meet people who share our mission and can m
an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Total compensation
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $75000– $115000 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
