data scientist

data analyst

business analyst

product analyst

senior data scientist

applied ai ml analyst

JPMorganChase

<div>
 
 Job Description
 
 
 
 You are a strategic thinker passionate about driving solutions in data science and analytics. You have found the right team.
 
 
 As an Applied AI/ML Analyst in our Data Science COE within the Firmwide Planning &amp; Analysis (FP&amp;A) organization, you will spend each day defining, refining, and delivering enhanced forecasting and analytical capabilities. You will focus on AI/ML-based solutions to boost productivity across the FP&amp;A organization. In this role, you will analyze business problems, experiment with statistical and machine learning models, and develop solutions using state-of-the-art machine learning and deep learning algorithms. You will be part of an innovative team, collaborating closely with cross-functional teams to create data-driven solutions that enhance our products, services, and business operations. We are seeking someone with a strong background in data analysis, machine learning, and statistical modeling, who is passionate about uncovering insights and solving complex problems.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and successfully implement AI/ML solutions, based on state-of-the-art ML models (e.g., ChatGPT), to support various use cases such as Document Q&amp;A, Information Retrieval/Summarization, Search, etc.
 </li>
 <li>
 Collaborate with stakeholders to understand business requirements and translate them into data science projects. Assist leadership in defining the problem statements, execution roadmap.
 </li>
 <li>
 Collaborate with multiple partner teams such as Finance, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production.
 </li>
 <li>
 Communicate findings and insights through clear and concise visualizations and reports.
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. Collaborate closely with the data science/AI/ML community within the firm, actively identify and introduce off-the-shelf solutions to the FP&amp;A organization.
 </li>
 <li>
 Mentor and provide guidance to junior data scientists and analysts. Design and conduct trainings on AI/ML topics to elevate awareness and adoption of AI/ML solutions in the general Finance organization.
 </li>
 <li>
 Develop and maintain data pipelines and workflows for efficient data processing. Clean, preprocess, and validate data to ensure data quality and integrity.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and insights from large datasets. Perform statistical analysis and hypothesis testing to support data-driven decision-making.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills.
 
 
 
 <ul>
 <li>
 Engineer in Computer Science, Data Science, Statistics, Mathematics, or Machine Learning. Strong background in Mathematics and Machine Learning.
 </li>
 <li>
 1 year of experience in data science, machine learning, or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with LLMs and Prompt Engineering techniques.
 </li>
 <li>
 Strong knowledge of statistical analysis and modeling techniques. Familiarity with data analysis and visualization. Experience with SQL and relational databases.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and as part of a team.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.
</div>

Applied AI/ML - Analyst

Danaher Corporation

<div>
 At first glance, you&rsquo;ll see Danaher&rsquo;s scale. Our 65,000+ associates work across the globe at more than 15 unique operating companies within three platforms&mdash;life sciences, diagnostics, and biotechnology.
 
 
 Look again and you&rsquo;ll see the opportunity to build a meaningful career, be creative, and take risks with the support you need to be successful. You&rsquo;ll find associates who are as certain about their impact as they are about where they&rsquo;re headed next.
 
 
 You&rsquo;ll find the Danaher Business System, which makes everything possible. You&rsquo;ll also see a company that investors trust&mdash;our culture of continuous improvement has helped us outperform the S&amp;P 500 by more than 5,000% over the past 25 years.
 
 
 The Senior Supply Chain Data Scientist will join the Supply Chain AI team, reporting to Principal Supply Chain AI Scientist. This role is responsible for developing and deploying OR, ML and AI models to optimize supply chain functions across the enterprise. This role will be working remotely.
 
 
 
 In this role, you will have the opportunity to:
 
 
 
 <ul>
 <li>
 Lead the design, development, and implementation of OR/AI/ML models tailored to supply chain subject areas such as demand forecasting and sensing, inventory optimization, transportation and logistics routing, supplier risk prediction, production planning and network optimization.
 </li>
 <li>
 Develop and deploy generative AI models for supply chain use cases, fine-tuning large pre-trained LLMs, evaluating modeling performance; continuously iterate and optimize the solutions.
 </li>
 <li>
 Collaborate with cross-functionally with supply chain, engineering, IT, and business solution implementation team to align technical solutions with business needs.
 </li>
 <li>
 Partners with solution architect engineer to enable appropriate data flow/data model, development using appropriate tools/technology to ensure rapid prototyping, testing and deployment
 </li>
 <li>
 Ensure models are robust, scalable, and production ready with clear monitoring and feedback loops.
 </li>
 <li>
 Stay ahead of the curve on related emerging technologies and bring innovative approaches to supply chain optimization
 
 
 </li>
 </ul>
 
 The essential requirements of the job include:
 
 
 
 <ul>
 <li>
 PhD or Master&rsquo;s degree in Computer Science, Data Science, Operations Research, Industrial Engineering, or a related field.
 </li>
 <li>
 5+ years of experience in applied OR/AI/ML roles, with at least 3 years focused on supply chain problems
 </li>
 <li>
 Strong expertise in optimization, regression, classification, time series, deep learning.
 </li>
 <li>
 Proficiency in programming languages such as Python, Java, Scala or similar
 </li>
 <li>
 Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms such as AWS, Snowflake etc.
 </li>
 <li>
 Strong communication skills to engage with technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 It would be a plus if you also possess previous experience in:
 
 
 
 <ul>
 <li>
 Knowledge of core business processes (Supply Chain, Operations) obtained by directly working in these functions is preferred.
 </li>
 <li>
 Experience with AI agent solution development
 </li>
 <li>
 Familiarity with ERP enterprise supply chain systems like Oracle, SAP
 
 
 </li>
 </ul>
 Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
 
 
 For more information, visit www.danaher.com.
</div>

Senior Data Scientist, Supply Chain

Trinity Life Sciences

<div>
 
 Description
 
 
 Description
 
 
 
 
 Job Objective:
 
 To work with the team of data scientists managing multiple projects. Guide the team in formulation, model development and implementation by liaising with business stakeholders to explain the model outcomes.
 
 
 
 Experience:
 
 6 to 9 Years
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Deep understanding of Statistics and experience with Machine Learning algorithms/Techniques.
 </li>
 <li>
 Proven Programming skills in Particular R/SQL and Python, Strong experience with DL frame works such as TensorFlow, Theano and Others.
 </li>
 <li>
 Scientific Expertise and real-world experience in Deep learning (Convolutional neutral networks, restricted Boltzmann Machines and Deep neutral networks.
 </li>
 <li>
 Passion for solving challenging analytical problems.
 </li>
 <li>
 Ability to quickly, quantitively, and qualitatively assess a problem.
 </li>
 <li>
 Ability to work productively with team members, identify and resolve tough issues in a collaborative manner.
 </li>
 <li>
 Experience in applying Machine learning techniques to real world problems in a production environment.
 
 
 </li>
 </ul>
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop and deliver AI/Machine learning enabled solutions for our industry specific data analytics platform.
 </li>
 <li>
 Build scalable, available and support process to collect, Manipulate, present, and analyse large datasets in a production environment.
 </li>
 <li>
 Articulate Problem definition and work on all aspects of data including acquisition, exploration/Visualization, Feature engineering with ML algorithms and deploying models.
 </li>
 <li>
 Develop working prototypes of algorithms, evaluate, and compare metrics based on the real-world data sets.
 </li>
 <li>
 Provide design input specifications, requirements, and guidance to software engineers for algorithms implementation for Solution/Product development.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Minimum 6 years of profession Life Science/Pharma experience is required
 </li>
 <li>
 Degree in Applied Maths, Statistics or Machine learning techniques or Computer Science. Ph.D. /MS is preferred.
 </li>
 </ul>
</div>

Consultant - Data Science

Netcore Cloud

<div>
 
 
 
 Who We Are:
 
 
 
 
 Netcore Cloud is a MarTech platform helping businesses design, execute, and optimize campaigns across multiple channels. With a strong focus on leveraging data, machine learning, and AI, we empower our clients to make smarter marketing decisions and deliver exceptional customer experiences. Our team is passionate about innovation and collaboration, and we are looking for a talented Senior Data Scientist to join our team and work on impactful, high-scale projects.
 
 
 
 
 
 
 Role Summary:
 
 
 
 As a Senior Data Scientist, you&rsquo;ll work on developing, deploying, and optimizing advanced machine learning solutions across a range of problem statements such as personalization, customer segmentation, predictive modeling, and NLP. This is a high-impact role that will allow you to collaborate across cross-functional teams and contribute directly to our product innovation roadmap.
 
 
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 Model Development and Innovation
 
 :
 
 <ul>
 <li>
 Design and implement ML models for problems including recommendation engines, user segmentation, conversion prediction, and NLP-based automation
 </li>
 <li>
 Stay on top of the latest research in AI/ML and evaluate new approaches (e.g., LLMs, generative AI) for practical application.
 </li>
 <li>
 Optimise model performance, scalability, and interpretability for production systems.
 </li>
 </ul>
 
 
 MLOps &amp; Deployment
 
 
 <ul>
 <li>
 Contribute to the deployment of models into production environments using MLOps best practices.
 </li>
 <li>
 Leverage platforms such as AWS SageMaker or Google Vertex AI for training, tuning, and scaling models.
 </li>
 </ul>
 
 
 Data &amp; Experimentation
 
 
 <ul>
 <li>
 Work with large-scale, real-time datasets to derive actionable insights and build data pipelines for ML training and evaluation.
 </li>
 <li>
 Design and run experiments (A/B testing, uplift modeling, etc.) to validate hypotheses and improve product KPIs.
 </li>
 </ul>
 
 
 Technology and Tools
 
 :
 
 <ul>
 <li>
 Work with large-scale datasets, ensuring data quality and scalability of solutions.
 </li>
 <li>
 Leverage cloud platforms like AWS, GCP for model training and deployment.
 </li>
 <li>
 Utilize tools and libraries such as Python, TensorFlow, PyTorch, Scikit-learn, and Spark for development.
 </li>
 <li>
 With so much innovation happening around Gen AI and LLMs, we prefer folks who have already exposed themselves to this exciting opportunity via AWS Bedrock or Google Vertex.
 </li>
 </ul>
 
 
 Cross-functional Collaboration
 
 
 <ul>
 <li>
 Partner with product, engineering, and marketing teams to understand business requirements and translate them into data science solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Who You Are:
 
 
 
 
 
 Education
 
 :
 
 <ul>
 <li>
 Bachelors from Tier 1 premier institute in relevant field, or;
 </li>
 <li>
 Master&rsquo;s or PhD in Computer Science, Data Science, Mathematics, or a related field.
 </li>
 </ul>
 
 
 Experience
 
 :
 
 <ul>
 <li>
 
 4&ndash;6 years
 
 of hands-on experience in machine learning or data science roles.
 </li>
 <li>
 Proven expertise in machine learning, deep learning, NLP, and recommendation systems.
 </li>
 <li>
 Hands-on experience deploying ML models in production at scale.
 </li>
 <li>
 Experience in a product-focused or customer-facing domain such as Martech, Adtech, or B2B SaaS is a plus.
 </li>
 </ul>
 
 
 Technical Skills
 
 :
 
 <ul>
 <li>
 Proficiency in Python, SQL, and ML frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of statistical methods, predictive modeling, and algorithm design.
 </li>
 <li>
 Familiarity with cloud-based solutions (AWS Sagemaker, GCP AI Platform, or similar).
 </li>
 </ul>
 
 
 Soft Skills
 
 :
 
 <ul>
 <li>
 Strong analytical and problem-solving mindset.
 </li>
 <li>
 Excellent communication skills to articulate data-driven insights.
 </li>
 <li>
 A passion for innovation and staying up-to-date with the latest trends in AI/ML.
 </li>
 </ul>
 
 
 
 
 
 
 Why Join Us:
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI/ML projects impacting millions of users.
 </li>
 <li>
 Be part of a collaborative, innovation-driven team in a fast-growing Martech company.
 </li>
 <li>
 Competitive compensation and growth opportunities in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 We&rsquo;d love to hear how your background can contribute to building the next generation of intelligent marketing solutions. Apply now or reach out for a conversation. :)
 
</div>

Senior Data Scientist

Meril

<div>
 
 
 Job Description &ndash; AI HFT Developer
 
 
 
 
 Location:
 
 Bengaluru (Hybrid)
 
 
 
 Department:
 
 Quantitative Research &amp; Trading Technology
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an
 
 AI High-Frequency Trading (HFT) Developer
 
 to design, build, and optimize ultra-low latency trading systems powered by advanced AI/ML models. This role demands strong programming skills, deep market microstructure knowledge, and a passion for pushing the boundaries of algorithmic trading through data-driven innovation.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement
 
 low-latency trading algorithms
 
 using AI/ML techniques (LLMs, reinforcement learning, deep learning).
 </li>
 <li>
 Develop, test, and deploy
 
 execution strategies
 
 across equities, futures, crypto, and other asset classes.
 </li>
 <li>
 Optimize system performance for
 
 nanosecond-level latency
 
 using advanced data structures, C++/Rust/Python, and GPU acceleration.
 </li>
 <li>
 Research and integrate
 
 AI/ML models
 
 for price prediction, sentiment analysis, and order book forecasting.
 </li>
 <li>
 Build and maintain
 
 real-time market data ingestion pipelines
 
 with millisecond-level throughput.
 </li>
 <li>
 Collaborate with quantitative researchers and traders to
 
 translate trading ideas into production strategies
 
 .
 </li>
 <li>
 Conduct rigorous backtesting, simulation, and
 
 live PnL monitoring
 
 of strategies.
 </li>
 <li>
 Ensure compliance with
 
 risk controls, regulatory requirements, and exchange protocols
 
 .
 </li>
 </ul>
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s/Master&rsquo;s/PhD
 
 in Computer Science, Quantitative Finance, Engineering, or related field.
 </li>
 <li>
 2+ years of experience in
 
 HFT, algorithmic trading, or low-latency systems
 
 .
 </li>
 <li>
 Strong expertise in
 
 C++/Rust/Java
 
 (for latency-critical components) and
 
 Python
 
 (for research and ML pipelines).
 </li>
 <li>
 Solid background in
 
 machine learning, deep learning, reinforcement learning, or time-series modeling
 
 .
 </li>
 <li>
 Experience with
 
 market microstructure, order books, FIX protocols, and exchange connectivity
 
 .
 </li>
 <li>
 Hands-on experience with
 
 GPU computing (CUDA), FPGA optimization, or distributed systems
 
 is a plus.
 </li>
 <li>
 Knowledge of
 
 cloud (AWS/GCP/Azure)
 
 and
 
 big data tools (Kafka, Flink, Spark)
 
 for data engineering.
 </li>
 <li>
 Strong problem-solving ability with an
 
 entrepreneurial mindset
 
 and drive for innovation.
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience in
 
 crypto HFT/DeFi market making
 
 .
 </li>
 <li>
 Familiarity with
 
 agentic AI
 
 and
 
 large language models for trading insights
 
 .
 </li>
 <li>
 Prior contributions to
 
 open-source AI/quant projects
 
 .
 </li>
 </ul>
 
 
 What We Offer
 
 
 <ul>
 <li>
 Exposure to cutting-edge
 
 AI + trading innovations
 
 .
 </li>
 <li>
 Opportunity to work with a
 
 world-class quant and AI team
 
 .
 </li>
 <li>
 Competitive compensation with
 
 performance-linked bonus
 
 .
 </li>
 <li>
 A fast-paced environment that encourages
 
 innovation and ownership
 
 .
 </li>
 </ul>
 
 
</div>

AI HFT Developer

Acunor

<div>
 
 
 Job Title:
 
 Data Scientist - Forecasting &amp; AI Strategy
 
 
 
 Location:
 
 Bangalore
 
 
 
 Experience:
 
 8-12 years
 
 
 
 Type:
 
 Full-time
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Data Scientist
 
 with expertise in
 
 forecasting, Python, and Databricks
 
 to drive advanced analytics initiatives. This role focuses on
 
 forecasting and elasticity models
 
 to strengthen pricing, demand planning, and business optimization strategies. You will play a critical role in designing, deploying, and scaling machine learning solutions on
 
 Azure and Databricks
 
 , ensuring real-world impact and adoption.
 
 
 
 
 
 
 Key Tasks and Accountabilities
 
 
 <ul>
 <li>
 Translate complex business challenges into analytical problems and deliver actionable insights.
 </li>
 <li>
 Own the
 
 end-to-end AI/ML lifecycle
 
 &ndash; data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Build and deploy
 
 forecasting models (time-series, regression, ML-based, deep learning)
 
 for demand planning, promotions, and pricing optimization.
 </li>
 <li>
 Develop reusable and modular Python code following
 
 OOP best practices
 
 .
 </li>
 <li>
 Architect and optimize workflows on
 
 Azure Databricks
 
 , ensuring scalability and automation with
 
 Airflow/MLFlow
 
 .
 </li>
 <li>
 Apply
 
 MLOps practices
 
 , including containerization (Docker) and CI/CD pipelines (GitHub).
 </li>
 <li>
 Collaborate with cross-functional teams (data engineering, product, commercial, finance) to deliver production-ready forecasting solutions.
 </li>
 <li>
 Mentor and guide mid-level/junior data scientists, fostering a culture of technical excellence.
 </li>
 <li>
 Clearly communicate technical findings and business impact to both
 
 technical and non-technical stakeholders
 
 , including leadership teams.
 </li>
 </ul>
 
 
 
 
 
 Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 B.Tech/BE/Masters in Computer Science, Data Science, AI/ML, Statistics, or related field.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 <ul>
 <li>
 
 8&ndash;12 years of relevant experience
 
 in data science and advanced analytics.
 </li>
 <li>
 Proven track record in
 
 forecasting models
 
 (ARIMA, Prophet, regression, ML ensembles, deep learning for time-series).
 </li>
 <li>
 Strong expertise in
 
 Python (with OOP principles)
 
 and
 
 PySpark
 
 .
 </li>
 <li>
 Hands-on experience with
 
 Azure cloud, Databricks, MLFlow
 
 , and workflow orchestration (Airflow).
 </li>
 <li>
 Practical experience with
 
 MLOps and containerization tools
 
 (Docker/Kubernetes).
 </li>
 <li>
 Strong background in deploying
 
 end-to-end ML solutions into production
 
 .
 </li>
 </ul>
 
 
 
 
 
 Must Have Skills:
 
 
 <ul>
 <li>
 Forecasting &amp; Predictive Modeling (Time-series, ML-based, Deep Learning)
 </li>
 <li>
 Python, PySpark, Databricks (advanced proficiency)
 </li>
 <li>
 Azure Cloud ML Stack (MLFlow, Airflow, CI/CD, Git)
 </li>
 <li>
 Strong problem-solving and communication skills
 </li>
 </ul>
 
 
 
 
 
 Good to Have:
 
 
 <ul>
 <li>
 Exposure to
 
 Pricing and Revenue Management domains
 
 </li>
 <li>
 Product-building experience
 </li>
 <li>
 Experience working in global, cross-functional teams
 </li>
 </ul>
 
 
</div>

Data Scientist

Chevron

<div>
 
 About The Position
 
 
 
 Chevron invites applications for the role of Data Scientist within our Enterprise AI team in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron&rsquo;s business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
 </li>
 <li>
 Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
 </li>
 <li>
 Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
 </li>
 <li>
 Understand and communicate the value of proposed opportunity with team members and other stakeholders.
 </li>
 <li>
 Identify needed data and appropriate technology to solve identified business challenges.
 </li>
 <li>
 Clean data and develop and test models.
 </li>
 <li>
 Establish the life cycle management process for models.
 </li>
 <li>
 Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
 </li>
 <li>
 Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
 </li>
 <li>
 Aligns with team on shared goals and outcomes, recognizes others&rsquo; contributions, and work collaboratively &amp; seek diverse perspectives.
 </li>
 <li>
 Takes actions to develop self and others beyond existing skillset.
 </li>
 <li>
 Encourages innovative ideas, adapts to change and changing technologies
 </li>
 <li>
 Understand and communicate data, insights, and model behaviors to stakeholders with varying levels of technical expertise.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience
 </li>
 <li>
 Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
 </li>
 <li>
 Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)
 </li>
 <li>
 Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
 </li>
 <li>
 Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
 </li>
 <li>
 Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
 </li>
 <li>
 Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
 </li>
 <li>
 Ability to translate complex data into actionable insights that drive business value.
 </li>
 <li>
 Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
 </li>
 <li>
 Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
 </li>
 <li>
 Team-oriented mindset with effective communication skills and the ability to work collaboratively.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
 
 
 Chevron participates in E-Verify in certain locations as required by law.
</div>

Explore 244+ Applied ai ml analyst in Mangaluru this September. Find roles across top companies and apply now to boost your career.

244 applied ai ml analyst jobs IN Mangaluru

Applied AI/ML - Analyst

Senior Data Scientist, Supply Chain

Consultant - Data Science

Senior Data Scientist

AI HFT Developer

Data Scientist

Senior Data Scientist