Discover data science roles in 514 Data Scientist jobs in Hyderabad
Data Scientist
Posted 1 day ago
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+ 2-5 years of experience in data engineering, analytics and data sciences.
+ Experience in LLM and Gen AI.
+ Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
+ Familiarity with ML Ops tools/platforms
+ Familiarity with Docker and Kubernetes
+ Proficiency in one or more visualization tools like Tableau etc.
+ Experience engineering information out of massive, complex and, in some cases, unstructured datasets.
+ Ability to apply a strong business sense with technical skills to effectively balance decisions around the complexity and speed of the project delivery.
+ Strong written, verbal, and interpersonal communication skills. Ability to effectively communicate at all levels in the organization.
+ Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
+ Excellent problem-framing, problem solving and project management skills and ability to change direction quickly.
+ Ability to balance and prioritize multiple projects.
+ Experience working within a Cloud based environment, SaaS.
+ Experience with git and version control workflows.
+ Proficient in performance tuning and debugging
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
WWT will consider for employment, without regard to disability, a disabled applicant who satisfies the requisite skill, experience, education, and other job-related requirements of the job and is capable of performing the essential requirements of the job with or without reasonable accommodation. World Wide Technology is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, veteran status, genetic information, or other characteristics protected by law. We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and you believe you need a reasonable accommodation in order to search for a job opening or to submit an online application, please call 1- and ask for Human Resources.
Data Scientist
Posted 7 days ago
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At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.
You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
Analytical professional who uses statistical methods, machine learning, and programming skills to extract insights and knowledge from data. Their primary goal is to solve complex business problems, make predictions, and drive strategic decision-making by uncovering patterns and trends within large datasets.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
**Key Responsibilities:**
+ **Problem Framing:** ?Collaborating with stakeholders to understand business problems and translate them into data-driven questions.
+ **Data Collection and Cleaning:** ?Sourcing, collecting, and cleaning large, often messy, datasets from various sources, preparing them for analysis.
+ **Exploratory Data Analysis (EDA):** ?Performing initial investigations on data to discover patterns, spot anomalies, test hypotheses, and check assumptions with the help of summary statistics and graphical representations.
+ **Model Development:** ?Building, training, and validating machine learning models (e.g., regression, classification, clustering, deep learning) to predict outcomes or identify relationships.
+ **Statistical Analysis:** ?Applying statistical tests and methodologies to draw robust conclusions from data and quantify uncertainty.
+ **Feature Engineering:** ?Creating new variables or transforming existing ones to improve model performance and provide deeper insights.
+ **Model Deployment:** ?Working with engineering teams to deploy models into production environments, making them operational for real-time predictions or insights.
+ **Communication and Storytelling:** ?Presenting complex findings and recommendations clearly and concisely to both technical and non-technical audiences, often through visualizations and narratives.
+ **Monitoring and Maintenance:** ?Tracking model performance in production and updating models as data patterns evolve or new data becomes available.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Technical and Professional Expertise
+ 8 - 10 years of experience as an Data Scientist .
+ Programming Languages:?Strong proficiency in Python and/or R, with libraries for data manipulation (e.g., Pandas, dplyr), scientific computing (e.g., NumPy), and machine learning (e.g., Scikit-learn, TensorFlow, PyTorch).
+ Statistics and Probability:?A solid understanding of statistical inference, hypothesis testing, probability distributions, and experimental design.
+ Machine Learning:?Deep knowledge of various machine learning algorithms, their underlying principles, and when to apply them.
+ Database Querying:?Proficiency in SQL for extracting and manipulating data from relational databases.
+ Data Visualization:?Ability to create compelling and informative visualizations using tools like Matplotlib, Seaborn, Plotly, or Tableau.
+ Big Data Concepts:?Familiarity with concepts and tools for handling large datasets, though often relying on Data Engineers for infrastructure.
+ Domain Knowledge:?Understanding of the specific industry or business domain to contextualize data and insights.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Scientist
Posted 7 days ago
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Job Description
1. Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c. Estimate business impact due to deployment of model
2. Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3. Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development - Python / R / SQL / Cloud data pipelines
4. Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5. Experience in using Deep learning models with text, speech, image and video data
a. Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b. Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c. Knowledge of State of the art Deep learning algorithms
6. Optimize and tune Deep Learnings model for best possible accuracy
7. Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8. Work with application teams, in deploying models on cloud as a service or on-prem
a. Deployment of models in Test / Control framework for tracking
b. Build CI/CD pipelines for ML model deployment
9. Integrating AI&ML models with other applications using REST APIs and other connector technologies
10. Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist
Posted 7 days ago
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Job Description
Location - Hyderabad
Notice Period - Immediate to 30 Days
Skills - Python, Numpy, Pandas, Json, Github.
**Job Summary**
We are seeking an experienced Python Developer with 5- 11 years of experience to join our team. The ideal candidate will have a strong background in Python, Json and Github experience.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist
Posted 7 days ago
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Job Description
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Scientist**
**What you will do**
The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen's Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization.
You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment.
**Key Responsibilities**
+ Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others.
+ Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc.
+ Develop and maintain evaluation metrics and frameworks for prompt engineering.
+ Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases.
+ Build retrieval algorithms for relevant data identification to support LLMs and AI applications.
+ Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture.
+ Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI.
+ Share insights and findings with team members in an Agile (SAFe) environment.
**What we expect of you**
**Basic Qualifications:**
+ Master's degree and 2 - 4 years of experience in Software Engineering, Data Science, or ML Engineering or
+ Bachelor's degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or
+ Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering
**Preferred Qualifications:**
+ Experience in developing and deploying LLM applications.
+ Strong foundation in ML algorithms, data science workflows, and NLP.
+ Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
+ Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control).
+ Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks.
+ Understanding of RESTful APIs and frameworks like FastAPI.
+ Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash).
+ Knowledge of GxP compliance and experience working in regulated environments.
+ Strong communication skills with the ability to explain complex topics to diverse audiences.
+ High degree of initiative, self-motivation, and ability to work in global teams.
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data scientist
Posted 2 days ago
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Job Description
Data Scientist
Posted 2 days ago
Job Viewed
Job Description
We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.
For more information, visit
Job Summary:
We are looking for a results-driven Data Scientist with a strong foundation in SQL and Python , coupled with hands-on experience in AI/ML and exposure to Generative AI (GenAI) technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.
Key Responsibilities:
- Design and implement AI/ML models for a variety of business use cases, including prediction, classification, clustering, and personalization.
- Extract, clean, and manipulate large datasets using SQL and Python for model development and analysis.
- Apply and experiment with Generative AI techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
- Build scalable data pipelines and automate data workflows.
- Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
- Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
- Stay current with advancements in AI/ML and GenAI technologies and frameworks.
Required Skills:
- Strong programming skills in Python with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch .
- Proficiency in SQL for data extraction, joins, and optimization.
- Solid understanding of machine learning algorithms and data science best practices.
- Experience handling structured and unstructured data.
- Exposure to Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
- Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
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Data Scientist
Posted 2 days ago
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Sub:TCS Virtual Drive – Data Scientist
Greetings from Tata Consultancy Services !
TCS is hiring for Data Scientist
Experience : 10-16 years
Location: PAN India
We are looking for a candidate with good experience in Machine Learning Modelling, Data Analysis & Pre-processing, Synthetic Data Generation.
The candidate must be able to
- Develops and refines analytical methods using traditional machine learning to extract insights and build predictive models.
- Trains and validates ML models to solve business problems, requiring a strong foundation in statistical analysis and data manipulation.
- Focuses on established ML techniques and model validation for reliable results.
Applicable only for experienced candidates
Data Scientist
Posted 2 days ago
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Job Description
We are PepsiCo
PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals.
We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Pep+ Positive . For more information on PepsiCo and the opportunities it holds, visit .
PepsiCo Data Analytics & AI Overview:
With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCo’s leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.
The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AI Products. And will support “pre-engagement” activities as requested and validated by the prioritization framework of DA&AI.
Data Scientist-Gurugram and Hyderabad
The role will work in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Machine Learning Services and Pipelines.
Responsibilities
- Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope
- Collaborate with data engineers and ML engineers to understand data and models and leverage various advanced analytics capabilities
- Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards
- Use big data technologies to help process data and build scaled data pipelines (batch to real time)
- Automate the end-to-end ML lifecycle with Azure Machine Learning and Azure/AWS/GCP Pipelines.
- Setup cloud alerts, monitors, dashboards, and logging and troubleshoot machine learning infrastructure
- Automate ML models deployments
Qualifications
- Minimum 3years of hands-on work experience in data science / Machine learning
- Minimum 3year of SQL experience
- Experience in DevOps and Machine Learning (ML) with hands-on experience with one or more cloud service providers
- BE/BS in Computer Science, Math, Physics, or other technical fields.
- Data Science – Hands on experience and strong knowledge of building machine learning models – supervised and unsupervised models
- Programming Skills – Hands-on experience in statistical programming languages like Python and database query languages like SQL
- Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators
- Any Cloud – Experience in Databricks and ADF is desirable
- Familiarity with Spark, Hive, Pig is an added advantage
- Model deployment experience will be a plus
- Experience with version control systems like GitHub and CI/CD tools
- Experience in Exploratory data Analysis
- Knowledge of ML Ops / DevOps and deploying ML models is required
- Experience using MLFlow, Kubeflow etc. will be preferred
- Experience executing and contributing to ML OPS automation infrastructure is good to have
- Exceptional analytical and problem-solving skills
Data Scientist
Posted 2 days ago
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Job Description
At (TekLink HGS Digital), our vision is to be the globally preferred digital transformation partner for our clients, creating value in their business through rigorous innovation at scale. We are an expert team of 500+ leading strategic thinkers, digital marketing and creative masters, data analysts, software engineers, and process optimization specialists with an elemental desire to create transformative digital solutions.
Job Title: Data Scientist
Location: Hyderabad, India
Duration: Full time
Data scientist would support our internal teams and clients in driving strategic decisions, applying advanced statistical & predictive analytics and machine learning concepts to solve business problems in BFSI and CPG domains. You will also phrase requirements document, contribute towards project plan, carry out data research and collection, study attributes and features, test for parameters, resolve data issues, decide on models, modeling, QA/testing and showcase the findings in various formats for client consumption.
Responsibilities:
a) Analytics Requirements Definition: Works with business users to approve the requirements for analytics solution.
b) Data Preparation: Reviews data preparation rules (data extraction, data integration, data granularity, data cleansing etc.). Prepares data for analytical modelling. Guides data analysts and associate data scientists on data preparation activities.
c) Builds Machine Learning (ML) and Statistical Models using Python/R/Scala/SAS/SPSS
d) Collaborate with clients and internal teams to define industry-leading analytics solutions for a wide variety of industries and business groups
e) Develop proof-of-concepts and demos needed for client & internal presentations
f) Create clear functional and technical documentation
g) Work agnostic across multiple industry sectors and functional domains, with focus on BFSI and CPG domains.
h) Work closely with all stakeholders to identify, evaluate, design, and implement statistical and other quantitative approaches for modeling enterprise scale data and big data
i) Display proficiency in converting algorithmic proof of concepts into business requirement documents for product development or data driven actionable intelligence
Minimum Requirements & Qualification
The ideal candidate should have:
• Full time Degree in Mathematics, Statistics, Computer Science or Computer Applications from reputed institutions, B.E./B.Tech., MBA specialized in Marketing, Operations Research, Data Science and/or Business Analytics
• Overall 8+ years of technical experience in IT industry across BFSI and CPG domains.
• Minimum of 5 years of hands-on work experience in Data Science/Advance analytics, Machine Learning using Python and SQL
• Practical experience specifically around quantitative and analytical skills is required.
• People management skills and experience, and familiarity with the pharmaceutical industry are preferred.
• Knowledge of solution design, planning, and execution
• Contribute to case studies, blogs, eBooks, and whitepapers
• Proficiency in maintaining strong project documentation hygiene
• Able to fully assimilate into automated MLOps mode
• Must have good communication skills – written, oral, ppt and language skills
o Able to translate statistical findings to business English
• Hands on experience in one or more of the skillsets below:
o Programming Language: R Programming, Base SAS, Advanced SAS
o Visualization Tool: Tableau, MS Excel, think-cell, Power BI, Qlik Sense
o Automation Tool: VBA Macro, Python scripts
• Basic understanding of NLP/NLU/NLG and text mining
• Skills/knowledge of advanced ML techniques with image processing and signal processing is a plus
• GenAI and multimodal GenAI skills with RAG development and fine tuning
• Sounds statistical training in linear and non-linear regression, weighted regression, clustering, and classification techniques
• Sound understanding of applied statistical methods including survival analysis, categorical data analysis, time series analysis and multivariate statistics
• Introduction to classical statistical including concepts in Bayesian statistics, experimental design and inference theory
• Practical understanding of concepts in computer vision, data mining, machine learning, information retrieval, pattern recognition and knowledge discovery
• Additional knowledge in WFM, biological learning systems and modern statistical concepts is a plus
• Knowledge of IoT devices and solutions with multi-sensor data fusion is a plus
• Knowledge of Geostatistics, information theory, computational statistics is a plus
• Experience in character recognition with image, speech, and video analytics capabilities is a plus
• Working knowledge of or certifications in AWS/Azure/GCP is beneficial