The Mntn Co. Data Scientist interview guide, interview questions, salary data, and interview experiences.

Mntn Co. Data Scientist Interview Guide

Getting ready for an Data Scientist interview at Mntn Co.? The Mntn Co. Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Mntn Co. Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at Mntn Co..</li>
<li>Practice real Mntn Co. Data Scientist interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Mntn Co. Data Scientist interview.


Getting ready for an Data Scientist interview at Mntn Co.? The Mntn Co. Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Mntn Co. Data Scientist roles.
- Gain insights into the Data Scientist interview process at Mntn Co..
- Practice real Mntn Co. Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Mntn Co. Data Scientist interview.
        

Overview

What Mntn Co. Looks for in a Data Scientist

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Mntn Co. Data Scientist Interview Process

Interview Tips

You are given an array of numerical values, bootstrap samples, and size for a confidence interval.

Write a function that performs bootstrap sampling on the given array and calculates the confidence interval based on the given size.

Note: The function should return a tuple containing the minimum and maximum values of the confidence interval rounded to the tenths place.

Example

Input:

<pre tabindex="0" class="chroma"><code>values = [1, 2, 3, 4, 5]
</code></pre>

Output

<pre tabindex="0" class="chroma"><code>bootstrap_conf_interval(values, 1000, 0.95) -&gt; (1.2, 4.8)
</code></pre>

In this case, the function returns a tuple indicating that we are 95% confident that the population parameter lies between 1.2 and 4.8 based on our bootstrap samples.

Note: Results may vary due to the randomness of bootstrap sampling.

Write a function to bootstrap the confidence interface for a list of integers

Bootstrapping Confidence Intervals

Statistics

Let’s say you’ve just started as the operations manager at Lyft, and the CEO has asked you to design a dashboard for weekly leadership meetings. The company is facing increased competition in major cities, and there’s concern about both driver retention and rider wait times. This week, marketing is launching a $2M campaign to boost new rider signups in these cities.

Given limited dashboard space, what specific metrics and visualizations would you include?

Which metrics and visualizations would you prioritize for a CEO-facing dashboard during a major rider acquisition campaign?

Lyft Ops Dashboard

Data Visualization & Dashboarding

You are given a string that resembles the declaration of a list of dictionaries.

Without using the <code>pandas</code> package, write a function <code>read_split_from_str</code> to split the data into two lists, one for training and one for testing, with a 70:30 split between the training set and the testing set.

Note: Use <code>numpy</code> for random number generation if you need to.

Example

Input:

<pre tabindex="0" class="chroma"><code>list_of_dict_str = &#34;[{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}, {&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def read_split_from_str(list_of_dict_str) -&gt; 
 [
 [{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}],
 [{&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]
 ]
</code></pre>

Write a function that splits the data into two lists, one for training and one for testing.

Split Data Without Pandas

Python & General Programming

Mntn Co. Data Scientist Interview Questions

<h3>Job Description</h3><div>Job Description<div>OverviewCTG is seeking to fill a Data Scientist – Artificial Intelligence opening for our client in El Segundo, CA.Location: El Segundo, CA Duration: 12 monthsDuties:<ul><li>Architect and deliver AI solutions leveraging foundation models and large language models (LLMs).</li><li>Develop and train generative AI models using techniques such as GANs, VAEs, and RNNs.</li><li>Design and implement novel architectures and algorithms for generating high-quality content across multiple modalities (text, image, video, and speech).</li><li>Collaborate with cross-functional teams to integrate AI models into applications such as chatbots, virtual assistants, and content generation platforms.</li><li>Conduct experiments, analyze results, and optimize model performance.</li><li>Stay current with cutting-edge developments in generative AI, NLP, machine learning, and related fields.</li><li>Work across the full AI project lifecycle, from research and prototyping to production deployment.</li></ul>Skills:<ul><li>Strong programming skills in Python with proficiency in AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face.</li><li>Expertise in generative AI development and training, including GANs, VAEs, and RNNs.</li><li>Experience with natural language processing (NLP), image processing, video processing, or voice processing.</li><li>Familiarity with cloud platforms and services (AWS, Azure, GCP, Kubernetes).</li><li>Knowledge of relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).</li><li>Experience with modern UI frameworks (React.js, AngularJS, Backbone.js, etc.).</li></ul>Experience:<ul><li>Hands-on experience developing and deploying generative AI models in real-world applications.</li><li>Strong background in foundation models and large language models.</li><li>Experience with tools like GitHub Copilot and Amazon CodeWhisperer.</li><li>Demonstrated ability to collaborate with cross-functional teams in AI solution design and delivery.</li><li>Prior experience in Media & Entertainment industry a plus.</li></ul>Education:<ul><li>Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.</li><li>PhD preferred but not required.</li></ul>Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services for this role.To Apply: To be considered, please apply directly to this requisition using the link provided. Kindly forward this to any other interested parties. Thank you!The expected base salary for this position ranges from $50.00 to $120.00/hour. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained. In addition to salary, a competitive benefit package is also offered.</div></div>

Why USAA?At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.Embrace a fulfilling career at USAA, where our core values honesty, integrity, loyalty and service define how we treat each other and our members. Be part of what truly makes us special and impactful.The Opportunity<div><div>The Executive Director, Data Science leads a team of Data Science professionals responsible for the full lifecycle of advanced AI/ML solutions. This includes the development, implementation, and ongoing optimization of solutions leveraging predictive analytics, machine learning, simulation, and related techniques. These AI/ML solutions generate actionable management and member insights and seamlessly integrate with customer-facing applications to enhance the member experience. A critical aspect of this role is developing and championing a compelling AI/ML vision and roadmap for the Bank, identifying strategic opportunities and driving innovation that delivers tangible business value.This role drives continuous improvement in AI/ML processes and systems across IT and other key areas. This leader guides the development of data science solutions and long-term strategies, ensuring alignment with the Bank's overall objectives. Furthermore, this individual cultivates and maintains strong relationships with academic and industry thought leaders, keeping the Bank at the forefront of AI innovation and ensuring access to cutting-edge thinking and technologies.We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, Chesapeake, VA or Tampa, FL. Relocation assistance is available for this position.<h2></h2><h2>What you'll do: </h2><ul><li>Responsible for defining and innovating machine learning capabilities that enable business to meet strategic goals</li><li>Leverages state-of-the-art machine learning/AI tools and analytical methodologies to develop and implement various types of predictive models with the targeted goal of achieving business priorities</li><li>Partners with key stakeholders from business units to gather, analyze, and determine data and information requirements in support of the data and analytics roadmap, and determine the feasibility of those requirements from a technical perspective</li><li>Collaborates with other senior leaders to set the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques and long-term defined/project specific strategic assignments.</li><li>Agility to collaborate and influence peers and customers as the Data Science discipline continues to scale and mature</li><li>Responsible for the exploration of promising new technologies, analytical methods, and data sources (internal to USAA & external) that have potential to add value to the enterprise.</li><li>Accountable for solutions that influence decision makers and drive change by driving and helping to set the business direction, environment, and strategies.</li><li>Accountable for the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions.</li><li>Builds and leads a high performing team of experts in advanced analytics; develops team reputation as highly skilled experts in the field of data science.</li><li>Strengthens data stewardship, actively manages information risk, and collaborates in division and enterprise data and analytics leadership forums to further information governance and mitigate information and business risks.</li><li>Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.</li></ul><h2></h2><h2>What you have: </h2><ul><li>Bachelors Degree in Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or directly related field; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.</li><li>10 years of experience in predictive modeling, large data analysis and computer science.</li><li>4 years of people leadership experience in building, managing and/or developing high-performing applied analytics (data science, decision science, etc.) teams.</li><li>Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis).</li><li>Extensive knowledge in at least one advanced analytics programming language (e.g., Python, R, etc.)</li><li>A strong track record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent).</li><li>Extensive experience in data mining and statistical analysis.</li><li>Demonstrated pattern recognition and predictive modeling skills.</li><li>Knowledge and application of Data Science principals and experience with data science methodologies.</li><li>Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks.</li><li>Extensive technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers organization.</li><li>Demonstrated experience leading business or product/portfolio transformation through use of advanced analytics</li><li>Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.</li></ul>What sets you apart<ul><li>This individual is a key partner with IT, ensuring the successful and efficient deployment of AI solutions, and effectively managing related IT investments to align with the overall AI/ML roadmap and maximize return on investment.</li><li> A proven ability to take ownership of and successfully deliver complex AI initiatives from conception to production is essential.</li><li>Given the critical nature of AI, a strong model governance background is paramount.</li><li>This leader provides expert leadership in collaborating with control partners and regulators on AI solution-related reviews and examinations, proactively addressing potential risks and ensuring full compliance.</li><li>US military experience through military service or a military spouse/domestic partner</li></ul>Salary: The salary range for this position is: $224,250-$403,650.</div></div>Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.Long Term Incentive Plan: Cash payment for Executive level roles only, representing a cash payment which is both time and performance based. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Job Description:Role: Data ScientistExperience: 4-6 YearsLocation: Hyderabad Please Note: We need only Diversity on this role Job Description:<ul><li>In this role, you will collaborate with various business and analytics leaders to generate insights and answer queries using statistical analysis and/or machine learning, natural language processing, and generative AI.</li><li>As a Data Scientist, you will use your expertise to propose innovative ways to look at problems and using these approaches on available enterprise and third-party data.</li><li>You are also expected to work with global teams in the organization across different time zones.</li><li>We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at client we encourage you to apply.</li><li>Bachelor's or master's degree in computer science, applied mathematics, statistics, or related field, with 6 years of postgraduate experience or 4+ years in data analysis and predictive modeling.</li><li>Proficiency in machine learning algorithms, including deep learning techniques (GANs, VAEs, Transformers), and experience with ML Ops/AI Ops.</li><li>Expertise in cloud platforms (AWS, Azure, GCP) for scalable model training and deployment, along with knowledge of classical data science and generative AI methodologies.</li><li>Hands-on experience with statistical and predictive modeling (e.g., regression, clustering, neural networks) and at least two areas such as deep learning, NLP, causal inference, or time series forecasting</li></ul> Proficient in tools like SQL, R, or Python for data analysis If interested, please share your resume to sunidhi.manhas@portraypeople.com

How is this team contributing to vision of Providence? Ensure a continual and seamless service for customers regardless of which services they access.What will you be responsible for? <ul><li>End-to-end development and quality of solutions and services in conversational & Agentic AI capability</li><li>Understanding and Implementing advanced techniques in Agentic AI & Conversational AI Frameworks.</li><li>Introduce best practices in AI Frameworks.</li></ul> What would your day look like? <ul><li>Lead the design and development of Agentic AI Frameworks, models and systems, ensuring high performance and scalability.</li><li>Good in Python, RestAPI and data structure skills</li><li>Fine-tune and optimize pre-trained large language models (LLMs) such as GPT, LLAMA, Falcon, and Mistral.</li><li>Implement and manage model quantization techniques (e.g., GPTQ, AWQ, 8-bit/4-bit models) to enhance model efficiency.</li><li>Utilize Langchain, Dagster etc for orchestration and memory management in agentic applications.</li><li>Conduct thorough model evaluations using metrics such as BLEU, ROUGE, and perplexity to ensure model quality and performance.</li><li>Develop and maintain systems for intent recognition, entity extraction, and generative dialogue management.</li><li>Stay updated with the latest advancements in NLP and AI technologies and apply them to ongoing projects.</li><li>Mentor and guide junior engineers, fostering a culture of continuous learning and innovation.</li></ul>Who are we looking for?<ul><li>Minimum 6 years of experience in Programming Languages & AI Platforms</li><li>Strong understanding of deep learning fundamentals, including LSTM, RNN, ANN, POS tagging, and Transformer models.</li><li>Strong understanding and proficiency in Agentic AI Frameworks.</li><li>Proven experience in fine-tuning pre-trained LLMs (e.g., GPT, LLAMA, Falcon, Mistral) and Quantization.</li><li>Knowledge of model quantization techniques (GPTQ, AWQ, 8-bit/4-bit models).</li><li>Proficiency in using orchestration frameworks, state and memory management.</li><li>Experience with model evaluation metrics such as BLEU, ROUGE, and perplexity.</li><li>Understanding of intent recognition, entity extraction, and generative dialogue management systems.</li><li>Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.</li><li>Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.</li><li>Good Understanding with Azure AI Foundary, Azure AI search, Indexing</li><li>Knowledge in Kubernetes is good to have.</li><li>Knowledge of Microsoft Event Hubs or Kafka Technologies</li><li>Experience with load testing and unit testing tools.</li><li>Proficient understanding source control and code versioning tools such as GIT, Azure DevOps etc.</li><li>Familiarity with CICD and DevOps.</li></ul>

As a Data Scientist / Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets. You will be responsiblefor data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You’ll collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine. Key Responsibilities<ul><li>Execute end-to-end data science projects involving clinical data.</li><li>Process and analyze complex datasets, including EHR and other real-world data sources.</li><li>Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.).</li><li>Conduct exploratory data analysis and statistical hypothesis testing.</li><li>Communicate findings via well-documented code, reports, and presentations.</li><li>Collaborate with cross-functional teams, including clinicians, engineers, and product managers.</li><li>Stay up-to-date with advances in machine learning, healthcare AI, and relevant research.</li></ul> Required Qualifications<ul><li>PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply.</li><li>Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn).</li><li>Experience working with biological, clinical, or healthcare-related datasets in academia or industry.</li><li>Solid understanding of statistical concepts and ability to apply them practically.</li><li>Strong communication skills with an ability to document and explain technical work clearly.</li></ul> Preferred Qualifications (Nice to Have)<ul><li>Hands-on experience working with real-world or EHR data (structured/unstructured).</li><li>Published or contributed to academic/industry research projects.</li><li>Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links).</li><li>Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR.</li><li>Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar.</li><li>Experience with Git or other version control systems.</li></ul>

Application link: https://forms.gle/k9TcpMJjHeepESav7 *See all roles we’re hiring for ????* *Note: This role is in-person in Indiranagar, Bangalore???? READ ON IF YOU WANT TO…<ul><li>Build a product users LOVE</li><li>Want to create MASSIVE impact</li><li>Want to do the BEST work of your life</li><li>Work with a PASSIONATE and KICK-ASS team, with a vision that will blow your mind</li></ul>❓ ABOUT ARROWHEAD<ul><li>What we are: The most human-like voice AI bot for BFSI</li><li>What we are in more details: See it for yourself through our bot calls below:</li><li>Loan sales call: https://drive.google.com/file/d/1CxbETNMRSba7idz_0IgMxotj3jRjD85q/view?usp=sharing</li><li>Health insurance sales: https://drive.google.com/file/d/156pv9cdWyRrwX7ef5JBt3K28A72_PYEr/view?usp=sharing</li><li>What we’ve done:Proven to be the most human-like bot in the market (Competed in POCs against 6+ other voice AI companies and came out as #1 to win contracts)</li><li>We’ve grown the fastest of any voice AI company in India - in <8 months, working with:</li><li>Banks / NBFCs: Aditya Birla, RBL Bank, Axis Bank, IndusInd Bank, Shriram Finance, Bajaj Auto and others</li><li>Fintechs: Cred, Paytm, Turtlemint, InsuranceDekho, Simpl and others</li><li>Others: Physics Wallah, Tata 1MG, Aakaash Institute, upGrad and others</li><li>Our funds: Just closed our $3 mn seed round ????</li></ul>⭐️ OUR CLIENTS<ul><li>Aditya Birla</li><li>Axis Bank</li><li>Paytm</li><li>Cred</li><li>IndusInd Bank</li><li>Shriram Finance</li><li>Bajaj Auto</li><li>Tata 1MG</li><li>… just to name a few</li></ul>???? WHAT OUR EXISTING TEAM SAYS ABOUT OUR CULTUREArrowhead’s culture is nothing like i’ve seen in any organization I’ve worked at. I actually feel like I can express my ideas and that they will be heard and implemented here. I’ve never felt this empowered before.❤️ GROW TO UNPARALLELED LEVELS ****At Arrowhead, we have a deep focus on being the best - the best product and the best partner to the customer. This is how we’ve gotten to where we are today, and how we will continue to grow to become the largest BFSI-focused voice AI company in Asia.It is not for the faint of heart - you will learn the most, grow the most and do the most you’ve ever done.But you have to be willing to put in that blood, sweat and tears to get there.????‍???? YOUR ROLEWe're looking for a Senior Software Engineer who can architect and build robust infrastructure systems that power our voice AI platform. You'll be the backbone of our technology, ensuring our systems can handle massive scale while maintaining high performance and reliability.Your work will involve:<ul><li>Own end-to-end product development – from requirement gathering and architecture design to implementation and launch, you'll shepherd features through their complete lifecycle.</li><li>Build for massive scale – develop systems that can handle hundreds of thousands of calls per day with high reliability and performance.</li><li>Innovate through research – stay current with cutting-edge technologies, read research papers, and implement state-of-the-art solutions that give us a competitive edge.</li><li>Architect distributed systems – design robust, scalable infrastructure that can handle our growing customer base and evolving product requirements.</li><li>Optimize for performance – identify and resolve bottlenecks to ensure our voice AI delivers natural, real-time conversations without latency issues.</li></ul>???? Why This Role Rocks<ul><li>You'll have a front-row seat to building and scaling cutting-edge voice AI infrastructure.</li><li>You'll get to work on system architecture, performance optimization, and scalability solutions.</li><li>You will be implementing infrastructure that powers conversations with some of India's biggest enterprises (Our voice AI technology is vetted by technical leaders at companies like Paytm).</li><li>You'll have direct impact on product reliability, performance, and the company's technical trajectory.</li><li>You'll build mission-critical systems that enable hundreds of thousands of AI conversations daily.</li></ul>✅ QUALIFICATIONS<ul><li>What We're Looking For</li><li>5+ years experience in data science, machine learning, or related field</li><li>Strong background in natural language processing (NLP) and conversational AI systems</li><li>Experience with speech recognition and text-to-speech technologies</li><li>Proficiency in Python and data science libraries (NumPy, Pandas, scikit-learn)</li><li>Familiarity with deep learning frameworks (PyTorch, TensorFlow, Hugging Face)</li><li>AI & ML SkillsExperience fine-tuning language models (LLMs) for specific domains or tasks</li><li>Expertise in analyzing conversational data at scale and extracting actionable insights</li><li>Knowledge of customer intelligence systems and experience building data-driven applications</li><li>Understanding of speech-to-text optimization and improving transcription accuracy</li><li>Data Engineering & AnalyticsExperience with large-scale data processing (handling hundreds of thousands of conversations)</li><li>Ability to design and implement data pipelines for continuous model improvement</li><li>Knowledge of feature engineering techniques for conversational data</li><li>Experience with A/B testing methodologies to evaluate model improvements</li><li>Familiarity with data visualization tools for presenting insights to stakeholders</li><li>Startup MindsetYou've built and deployed ML models in production environments</li><li>Comfortable with fast-paced environment where you'll own critical data science decisions</li><li>Collaborative approach - you work well with engineering teams, product, and founders</li><li>Growth-minded and excited about building customer intelligence systems that scale</li></ul>???? SOUNDS LIKE YOU?<ul><li>User-obsessed: Users come first, above all else.</li><li>Communication: You over-communicate. You communicate clearly and precisely, both verbally and in writing, including explaining technical concepts.</li><li>Timeliness: You respect timelines and communicate beforehand if there is a blocker</li><li>Ownership: You proactively take initiative to find solutions and focus on what must be done to create success.</li><li>Grit: You pursue challenging goals with passion and courage.</li><li>Intellectual curiosity: You want to constantly push yourself out of your comfort zone to try and learn new things</li><li>Entrepreneurial: You are empowered to take decisions and act on them, treating this startup as your own</li></ul><li> </li>

Job Title: Data Scientist – Agentic AI & MLOps Location: Bangalore - Hybrid (3 days work from office, 2 days from home) About Us: Our client delivers next-generation security analytics and operations management. They secure organisations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection. Job Overview: We’re seeking a Senior Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalise LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: <ul><li>Operationalise large language models and agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response.</li><li> Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response.</li><li> Build proof-of-concept GenAI solutions and evolve them into production-ready components on AWS (Bedrock, SageMaker, Lambda, EKS/ECS) using reusable best practices.</li><li> Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.</li><li> Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.</li><li> Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerised with Docker and Kubernetes.</li><li> Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyse performance and optimise for cost and SLA compliance.</li><li> Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows.</li></ul> Qualifications: <ul><li>Bachelor’s or Master’s in Computer Science, Data Science, AI or related quantitative discipline.</li><li> 4+ years of software development experience, including 3+ years building and deploying LLM-based/agentic AI architectures.</li><li> In-depth knowledge of generative AI fundamentals (LLMs, embeddings, vector databases, prompt engineering, RAG).</li><li> Hands-on experience with LangChain, LangGraph, LlamaIndex, Crew.AI or equivalent agentic frameworks.</li><li> Strong proficiency in Python and production-grade coding for data pipelines and AI workflows.</li><li> Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-quality best practices.</li><li> Extensive AWS experience with Bedrock, SageMaker, Lambda, EKS/ECS, S3 (Athena, Glue, Snowflake preferred).</li><li> Infrastructure as Code skills with Terraform.</li><li> Experience building REST APIs, microservices, and containerization with Docker and Kubernetes.</li><li> Solid data science fundamentals: feature engineering, model evaluation, data ingestion.</li><li> Understanding of cybersecurity principles, SIEM data, and incident response.</li><li> Excellent communication skills for both technical and non-technical audiences.</li></ul> Preferred Qualifications: <ul><li>AWS certifications (Solutions Architect, Developer Associate).</li><li> Experience with Model Context Protocol (MCP) and RAG integrations.</li><li> Familiarity with workflow orchestration tools (Apache Airflow).</li><li> Experience with time series analysis, anomaly detection, and machine learning.</li></ul>

<ul><li>Use predictive modelling to increase and optimize power generation, price, cost savings, customer experiences and other business outcomes.</li><li>Experience in statistical modelling, machine learning, probability theory, algorithms. data mining, unstructured data analytics and natural language processing.</li><li>Expertise in machine learning techniques such as Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate Statistics, K-NN, Naïve Bayes etc.</li><li>Working knowledge of popular Deep Learning architectures and theory, simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised machine learning, unsupervised learning algorithms using deep learning etc.</li><li>Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Simulation)</li><li>Experience in one of the upcoming technologies like deep learning, NLP, NLG, image processing, recommender systems, chatbot, voice AI, video AI etc.</li><li>Experience of working on end-to-end data science pipeline: problem scoping, data discovery and extraction, EDA, modelling, evaluation, insights, visualizations, continuous improvement, maintenance, and business value/impact tracking. Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes</li><li>You will be required to discuss and use various algorithms and approaches daily.</li><li>Leading the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation. Agile SCRUM and MLOps experience is preferred.</li><li>Develop reusable/scalable assets and accelerators. Implement ML best practices.</li><li>Work directly with our internal technical teams to ensure that our solutions are seamlessly and effectively integrated</li><li>Analyse the market and industry trends in the technology and proactively look for opportunities in proposing the best solutions. Proactively research on upcoming ML techniques and best practices.</li><li>Responsible for coding, testing, debugging, evaluating solution/ technology options (including Cloud), and documenting application development</li><li>Migrate current analytics applications & pipelines to Cloud in future</li></ul> Qualifications Experience - 8-15 yrsQualification - Graduate with Engineering Degree (CS/Electronics/IT) / MCA / MCS + Masters in Statistics/Economics/Business Analytics

We are looking for a highly experienced Data Scientist to lead data-driven initiatives and deliver scalable machine learning solutions to complex business problems. The ideal candidate will combine technical depth in ML/AI with strong business acumen, driving impact through advanced analytics, feature engineering, and model deployment. Key Responsibilities<ul><li>Partner with stakeholders to understand business objectives and translate them into data science solutions.</li><li>Lead the end-to-end lifecycle of data science projects — from problem framing, data exploration, and feature engineering to model development, validation, and production deployment.</li><li>Apply advanced ML algorithms (XGBoost, LightGBM, CatBoost, etc.) to solve classification, regression, and forecasting problems.</li><li>Conduct clustering and unsupervised learning (KMeans, DBSCAN, hierarchical clustering) for segmentation, anomaly detection, and pattern recognition.</li><li>Optimize models for accuracy, interpretability, and scalability in production environments.</li><li>Build reproducible, well-documented data science workflows and collaborate closely with engineering teams on deployment.</li><li>Mentor and guide junior data scientists, setting best practices in experimentation, evaluation, and MLOps.</li><li>Communicate findings and recommendations to technical and non-technical stakeholders through compelling visualizations and narratives.</li></ul> Required Skills & Qualifications<ul><li>8–12 years of professional experience in Data Science, Machine Learning, or Applied AI.</li><li>Strong expertise in ML algorithms (XGBoost, LightGBM, CatBoost, ensemble methods).</li><li>Solid experience in feature engineering, data preprocessing, and statistical modeling.</li><li>Proficiency in clustering (KMeans, DBSCAN, etc.) and unsupervised learning techniques.</li><li>Hands-on programming skills in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn).</li><li>Familiarity with MLOps tools, cloud platforms (AWS, Azure, GCP), and version control.</li><li>Strong problem-solving skills with the ability to link analytics outcomes to business impact.</li><li>Excellent communication and leadership skills with experience leading cross-functional projects.</li></ul>

Infilon Technologies, a prominent software development company based in Ahmedabad, is seeking a Senior Data Scientist (Immediate Joiner) to lead advanced analytics initiatives. The role involves working on large, complex datasets, building scalable data-driven solutions, and applying mathematical and algorithmic techniques to uncover insights. Job Location: Ahmedabad, Gujarat (Work from Office)Experience: 6+ Years Key Responsibilities<ul><li>Implement solutions using modern AI/ML frameworks to build, train, and deploy machine learning models at scale.</li><li>Develop and implement data similarity algorithms (e.g., Jaccard similarity, cosine similarity).</li><li>Design and optimize data models across SQL and NoSQL databases.</li><li>Work closely with engineers and stakeholders to deliver scalable, intelligent solutions.</li><li>Design and implement advanced search and traversal algorithms for complex data structures.</li><li>Work on large-scale, highly interconnected datasets to uncover patterns, insights, and business value.</li><li>Use your mathematical expertise to solve algorithmic and analytical challenges.</li><li>A quick learner with a proven ability to be adaptive to new technologies and evolving project requirements.</li><li>Exceptional analytical and problem-solving skills with a keen attention to detail.</li><li>Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li></ul> Required Skills<ul><li>6+ years in data science or architecture roles.</li><li>Strong hands-on experience with SQL & NoSQL databases.</li><li>Solid background in mathematics.</li><li>Experience with search algorithms and data science workflows.</li><li>Proficient in Python and relevant ML libraries.</li><li>Proven knowledge of data similarity and search algorithms.</li><li>Strong background in mathematics (linear algebra, statistics, probability, calculus).</li></ul> Nice to Have<ul><li>Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Exposure to distributed computing frameworks (e.g., Spark, Hadoop).</li><li>Prior experience in architect-level roles in data-driven product teams.</li><li>Understanding of electrical components.</li></ul> Join us today and power your potential! Interested Candidates, kindly share your CV at hr@infilon.com www.infilon.comAhmedabad, Gujarat

Question	Topic	Difficulty	Ask Chance
Bootstrapping Confidence Intervals	Statistics	Easy	Very High
Lyft Ops Dashboard	Data Visualization & Dashboarding	Medium	Very High
Split Data Without Pandas	Python & General Programming	Medium	Very High