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
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
