The I-link solutions Data Scientist interview guide, interview questions, salary data, and interview experiences.

I-link solutions Data Scientist Interview Guide

Getting ready for an Data Scientist interview at I-link solutions? The I-link solutions Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for I-link solutions Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at I-link solutions.</li>
<li>Practice real I-link solutions 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 I-link solutions Data Scientist interview.


Getting ready for an Data Scientist interview at I-link solutions? The I-link solutions Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for I-link solutions Data Scientist roles.
- Gain insights into the Data Scientist interview process at I-link solutions.
- Practice real I-link solutions 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 I-link solutions Data Scientist interview.
        

Overview

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

What I-link solutions 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.

I-link solutions 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

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 work as a backend engineer at a company deploying a large language model (LLM) as a service for multiple clients. The LLM must handle concurrent user requests while maintaining low latency, high throughput, and robust fault tolerance.

How would you design the serving infrastructure for this LLM to efficiently manage simultaneous requests from multiple users?

Design a system to handle simultaneous requests to a deployed LLM model ensuring scalability, low latency, and reliability.

Concurrent LLM Serving

LLM & Agentic Systems

I-link solutions Data Scientist Interview Questions

Join to apply for the Business Analyst role at i-Link Solutions.6 days ago Be among the first 25 applicants.Agency: OCFSPlease call: (703) 466-0951 | (571) 351-1868 | (703) 348-3018 or email at <a href="#">nysreqs@ilinksolutions.com</a>.<h3>Description</h3>Provide day-to-day CONNECTIONS user support, guidance to Implementation Specialists, coordinate with OCFS regional staff to develop training, assist in meeting federal benchmarks, support data quality, and work with counties on data requirements for federal reporting. Assist with writing tip sheets, reviewing training materials, and supporting analysis and requirements gathering for projects. Provide data to counties and agencies for operational analysis.<h3>Mandatory Qualifications</h3><ol><li>60 months of experience in a child welfare environment supporting a child welfare information system (child protective, foster care/permanency, or preventive services).</li><li>60 months of IT support experience in a child welfare environment.</li><li>60 months of experience working directly with users in a child welfare environment providing training or technical assistance, including documentation or desk aids.</li><li>60 months of experience working on a child welfare application with over 15,000 users, including needs assessment, ongoing support, and follow-up.</li><li>60 months of experience interpreting regulations governing child welfare practice and outcomes.</li><li>Bachelors Degree (Required Documentation: Resume, ID, certifications, degrees).</li></ol>Disclaimers and Equal Opportunity Statementi-Link Solutions Inc. provides equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, veteran status, or other protected categories. Women, minorities, veterans, and individuals with disabilities are encouraged to apply.<h3>Additional Details</h3><ul><li>Seniority level: Mid-Senior level</li><li>Employment type: Full-time</li><li>Job function: Research, Analyst, and Information Technology</li></ul> #J-18808-Ljbffr

Job Title: Business Analyst - Expert
Task ID: HBITS-07-14225
Position Duration: 30 Months
Client: State of NY
Agency: Justice Center for the Protection of People with Special Needs

Please call   (703) 466-0951 | (571) 351-1868 | (703) 348-3018  or email at nysreqs@ilinksolutions.com

Description
Day to day includes:    Documenting as-is business processes
Eliciting requirements from stakeholders
Facilitating stakeholder meetings to elicit feedback
Documenting to-be business processes
Documenting business requirements
Participating in JADD sessions
Gathering and analyzing data to justify business need
Developing project business cases
Performing other general business analysis tasks as needed

Mandatory Qualifications  1 84 months of experience leading elicitation sessions with executives, managers, developers and subject matter experts using variety of information gathering methods such as interviews, documentation analysis, surveys, site visits, business models. 2 72 months of experience creating process and value stream models to support the understanding of the "as-is" state and development of "to-be" process. 3 48 months of experience creating user stories, test cases and test scripts to capture and track all requirements and enhancements. 4 60 months of experience with Software Development Life Cycle (SDLC) using Agile and Waterfall Methodologies. 5 30 months of experience working with business users to gather requirements for Siebel CRM Case Management application that supports a combination of human tasks and electronic workflow including case lifecycle, activities and tasks, storing related documentation, and managing stakeholder communication. 6 30 months of experience contributing to the establishment of PMO standards, processes, and internal controls including establishing SDLC. 7 24 months of experience working with business users to gather requirements for a Surrogate Decision-Making program management system. 8 24 months of experience in a hybrid business analysist/project management role. 9 60 months of experience working in State Government. 10 Master's Degree in Liberal Arts, Humanities, Social Sciences, Education, or Business.   Required Documentation   • Resume
• Copy of Candidate Identification
(i.e., Driver's License/Green Card/Visa and Passport if applicable)
• Any documents referenced in the above Requested Qualifications
(i.e., professional certifications, degrees, etc.)
Disclaimer:  i-Link Solutions Inc. provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. We especially invite women, minorities, veterans, and individuals with disabilities to apply. EEO/AA/M/F/Vet/Disability

An experienced Data Scientist to lead end-to-end AI/ML solution design and implementation across a range of business domains in financial services. You will be responsible for architecting robust, scalable, and secure data science solutions that drive innovation and competitive advantage in the BFSI sector. This includes selecting appropriate technologies, defining solution blueprints, ensuring production readiness, and mentoring cross-functional teams. You will work closely with stakeholders to identify high-value use cases and ensure seamless integration of models into business applications. Your deep expertise in machine learning, cloud-native architectures, MLOps practices, and financial domain knowledge will be essential to influence strategy and deliver transformative business impactKey Skills and Responsibilities:<ul><li>Architect and drive the design, development, and deployment of scalable ML/AI solutions.</li><li>Lead data science teams through complete project lifecycles – from ideation to production.</li><li>Define standards, best practices, and governance for AI/ML solutioning and model management.</li><li>Collaborate with data engineering, MLOps, product, and business teams.</li><li>Oversee integration of data science models into production systems.</li><li>Evaluate and recommend ML tools, frameworks, and cloud-native solutions.</li><li>Guide feature engineering, data strategy, and feature store design.</li><li>Promote innovation with generative AI, reinforcement learning, and graph-based learning.</li><li>Knowledge of Spark, PySpark, Scala.</li><li>Experience leading CoEs or data science accelerators.</li><li>Open-source contributions or published research.</li></ul>Qualifications: <ul><li>10+ years of experience in ML/AI with at least 4 years in architectural leadership.</li><li>Proficient in Python, scikit-learn, TensorFlow, PyTorch, HuggingFace.</li><li>Strong BFSI domain knowledge.</li><li>Experience with NLP, LLMs (GPT), and deep learning.</li><li>Hands-on with MLOps pipelines and tools.</li><li>Experience with graph analytics tools (Neo4j, TigerGraph, NetworkX).</li></ul>

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role:As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You’ll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities:<ul><li>Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes.</li><li>Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP.</li><li>Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development.</li><li>Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation.</li><li>Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting.</li><li>Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.).</li><li>Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices.</li><li>Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing.</li><li>Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions.</li></ul> Required Qualifications:<ul><li>7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments.</li><li>Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spaCy, and/or Hugging Face.</li><li>Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures.</li><li>Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems.</li><li>Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases.</li><li>Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale.</li><li>Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry.</li><li>Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment.</li><li>Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively.</li></ul> Preferred Qualifications:<ul><li>Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies.</li><li>Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). </li><li>Certifications related to Epic, FHIR, or other health IT platforms are a plus. </li><li>Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation.</li><li>Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery.</li></ul> Benefits & Compensation: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits - medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

About YouYou are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.You are a data-driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact. You bring to Applaudo the following competencies:<ul><li>Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field — or equivalent experience.</li><li>Proven experience working with Azure cloud services for data processing and analytics.</li><li>Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.</li><li>Solid knowledge of SQL for querying, data preparation, and optimization.</li><li>Hands-on experience with Power BI for building dashboards and delivering insights.</li><li>Ability to design and execute data-driven solutions to support business objectives.</li><li>Strong analytical and problem-solving skills with attention to detail.</li><li>Effective communication skills to explain complex findings to technical and non-technical stakeholders.</li><li>English proficiency (B2+), both written and spoken.</li></ul> You will be accountable for the following responsibilities:<ul><li>Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.</li><li>Build and implement statistical models and machine learning algorithms to generate insights and forecasts.</li><li>Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.</li><li>Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.</li><li>Write and optimize SQL queries to extract, analyze, and transform large datasets.</li><li>Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.</li><li>Translate business problems into data science approaches and deliver actionable recommendations.</li><li>Stay current with emerging tools and methods in data science, cloud analytics, and visualization.</li></ul> Additional InformationHere at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence. Some of our perks and benefits:<ul><li>Celebrations</li><li>Special discounts*</li><li>Entertainment area*</li><li>Modern Work Spaces*</li><li>Great work environment</li><li>Private medical insurance*</li></ul> *Benefits may vary according to your location and/or availability. Request further information when applying.

Position OverviewWe are seeking an experienced and innovative Data Scientist with deep expertise in machine learning, deep learning, and image processing to join our dynamic team. The ideal candidate will have hands-on experience working with imagery (such as remote sensing and plant phenotyping imaging) and will leverage advanced analytics to develop predictive models that drive agricultural innovation.In this role, you will collaborate with scientists across diverse disciplines, as well as IT and engineering professionals, to deliver impactful solutions. Your work will directly support data-driven decision-making within agricultural operations. Key ResponsibilitiesData Science<ul><li>Apply advanced skills in image analysis, statistical modeling, machine learning, and deep learning to extract insights from complex imagery data.</li><li>Develop predictive models that translate data into actionable insights for agricultural operations.</li><li>Prepare comprehensive documentation outlining problem formulation, modeling approaches, validation methods, data requirements, and implementation steps.</li><li>Follow data science best practices, including peer reviews, code reviews, reproducibility, documentation, and coding standards.</li></ul> Collaboration & Communication<ul><li>Partner with business stakeholders and collaborate with Data Science community to co-develop innovative, data-driven solutions.</li><li>Present results and insights to key stakeholders in a clear, concise, and compelling manner.</li></ul> Qualifications & Requirements<ul><li>Education & Experience: Ph.D. (or M.S. with 4+ years of experience) in Data Science, Computer Vision, Machine Learning, Imagery, or Robotics.</li><li>Imagery Expertise: Proven experience in analyzing and deriving insights from imagery data (e.g., remote sensing, phenotyping imaging). Experience in plant phenotyping image analysis is a strong plus.</li><li>Machine Learning & Deep Learning: Strong knowledge of ML/DL frameworks and statistical techniques. Experience with image labeling tools and applying ML/DL methods to imagery datasets is highly desirable.</li><li>Cloud Platforms: Familiarity with AWS, Google Cloud Platform, or Azure, with the ability to leverage these for data processing and model deployment.</li><li>Programming: Proficiency in Python (or another high-level language), with hands-on experience in ML/DL libraries such as OpenCV, TensorFlow, and PyTorch. Strong coding discipline with version control experience (e.g., GitHub).</li><li>Soft Skills: High sense of ownership, motivated to deliver impactful analyses, with excellent communication skills to explain technical concepts to non-technical stakeholders.</li></ul>

Job Title: Senior Data Scientist Experience: 5+ yearsLocation: Infopark, Koratty, KeralaJob Type: Full Time Job Summary:JK Lucent is seeking a highly skilled Senior Data Scientist with a strong foundation in developing and deploying machine learning models, extracting insights from complex datasets, and building scalable, data-driven solutions. In this role, you'll design and implement AI/ML models, write production-ready engineering code, and collaborate with cross-functional teams to drive strategic business outcomes. This is an exciting opportunity to apply advanced data science techniques in a fast-growing, innovation-led environment. Key Responsibilities:1.⁠ ⁠Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.2.⁠ ⁠Extract insights from complex data and communicate findings to stakeholders.3.⁠ ⁠Design and implement data-driven solutions, including real-time and batch processing systems.4.⁠ ⁠Collaborate with engineers to build scalable and efficient data pipelines.5.⁠ ⁠Develop and maintain RESTful APIs to serve machine learning models.6.⁠ ⁠Work with databases, including data modeling, schema design, and query optimization.7.⁠ ⁠Work with GitHub, Docker, and AWS to ensure smooth deployment and management of models.8.⁠ ⁠Stay up-to-date with industry trends and advancements in AI/ML. Required Skills:1.⁠ ⁠5+ years of experience in data science and machine learning.2.⁠ ⁠Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.3.⁠ ⁠Experience with machine learning model development, deployment, and maintenance.4.⁠ ⁠Strong understanding of data structures, algorithms, and software design patterns.5.⁠ ⁠Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).6.⁠ ⁠Experience with GitHub, Docker, and AWS.7.⁠ ⁠Familiarity with RESTful API design and development.8.⁠ ⁠Experience with real-time and batch processing systems.9.⁠ ⁠Excellent communication and collaboration skills. Nice to Have:1.⁠ ⁠Experience with time series forecasting and analysis.2.⁠ ⁠Knowledge of deep learning frameworks like TensorFlow or Keras.3.⁠ ⁠Familiarity with natural language processing (NLP).4.⁠ ⁠Experience with data visualisation tools like Matplotlib, Seaborn, or Plotly.5.⁠ ⁠Knowledge of Agile development methodologies and Scrum framework.6.⁠ ⁠Experience with cloud platforms like AWS SageMaker, Google Cloud AI Platform, or Azure Machine Learning. What We Offer:1.⁠ ⁠Competitive salary and benefits package.2.⁠ ⁠Opportunity to work on complex and challenging projects.3.⁠ ⁠Collaborative and dynamic work environment.4.⁠ ⁠Professional growth and development opportunities.

Location: Chicago, Illinois Business Unit: Rush Medical Center Hospital: Rush University Medical Center Department: System Pharmacy Work Type: Full Time (Total FTE between 0.9 and 1.0) Shift: Shift 1 Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM) Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits). Pay Range: $58.29 - $91.81 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush's anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. Summary: Job Summary: The Pharmacy Data Scientist serves as the liaison between pharmacy operations, pharmacy informatics, and system knowledge management teams to inform, design, build, and analyze the prioritization and strategic growth of the RUSH pharmacy enterprise. The role is responsible for designing, managing, and analyzing healthcare data systems to optimize patient care, improve operational efficiency, and support implementation of best practice and evidence-based care decision making. This role bridges clinical pharmacy knowledge with technical skills in data engineering and informatics to support healthcare organizations in delivering efficient, safe, and data-driven enterprise pharmacy services. Exemplifies the Rush mission, vision, and values and acts in accordance with Rush policies and procedures. Other information: Required Job Qualifications: Each requirement must be a Bona Fide Occupational Qualification (BFOQ). Education: PharmD (Doctor of Pharmacy) or equivalent degree in pharmacy Experience: PGY1 pharmacy practice or equivalent experience Licensure(s): Eligible for IL registered pharmacist within 6 months of hiring Experience diagnosing and resolving errors in complex reports. Experience with research and troubleshooting reporting and data issues. Strong analytical, multi-tasking, and problem-solving skills Experience with test reporting solutions in house reporting solutions, i.e., Tableau, MS SQL Server, and Oracle. Experience with reports, dashboards, and scorecards using Microsoft SSRS, SSAS, and MDX in a data warehousing environment. Demonstrated experience in requirements gathering and using relational databases. Ability to perform detailed data analysis (i.e., determine the structure, content, and quality of the data through examination of source systems and data samples). Good visual aesthetic sense relative to report development and presentation to the user. Excellent written and verbal communication, facilitation, and customer-facing skills Must have a strong customer service orientation and excellent organizational skills. Preferred Job Qualifications: Experience: PGY2 Pharmacy informatics or equivalent experience Experience: Demonstrated clinical pharmacy experience; Proven experience with data engineering tools and healthcare IT systems (e.g., EHRs like Epic or Cerner). Specialized certification(s): Epic Revenue Data Model, Epic Clinical Data Model Certification, Epic Clarity Data Model Certification, Epic Caboodle (Data Warehouse) Data Model Certification, Epic Cogito Certification, Epic Willow Ambulatory Certification, Epic Willow Inpatient Certification Physical Demands: Competencies: Proficiency in programming languages (e.g., Python, R, SQL, Oracle, T-SQL, PL/SQL) and data tools (e.g., Excel, Tableau, Power BI). Knowledge of pharmaceutical standards, drug formularies, and clinical guidelines (e.g. RxNorm, SNOMED CT). Strong understanding of database design, cloud platforms (e.g., AWS, Azure), and data warehousing. Familiarity with ERP and EMR information systems Analytical mindset with attention to detail and problem-solving abilities. Excellent communication skills to collaborate with technical and clinical teams. Disclaimer: The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Responsibilities: Job Responsibilities: Collaborative Problem Solving o Produces deliverables for leadership and communicates with all levels of stakeholders. o Collaborate with healthcare providers to implement and refine workflows that incorporate pharmaceutical data and clinical knowledge to advance patient care. Pharmacy Informatics o Continuous improvement of pharmacy-related IT systems, including medication-dispensing software, inventory-management tools, and automated dispensing technologies. o Leverage data to improve medication safety, reduce errors, and enhance clinical decision-making. Data Management and Integration o Gather business and data requirements from stakeholders. o Captures, develops, and documents data definitions, business rules, and data quality requirements. o Design and maintain databases that store pharmaceutical, clinical, and operational data (e.g., medication records, patient outcomes, and drug interactions). o Integrate data from various sources, such as electronic health records (EHRs), pharmacy management systems, and clinical decision support tools into actionable datasets to optimize and automate decision-making. Data Analysis, Modeling, and Reporting o Creates and collects data models to analyze large datasets related to medication use, patient outcomes, and health system operations using statistical and machine learning techniques. o Conducts data analysis in support of a variety of analytic solutions. o Create and produce forecasts, reports, ad hoc requests, dashboards, etc. o Interprets data, analyzes results, creates visualizations, and provides insights to determine operational impact, trends, and opportunities to communicate insights to pharmacists, clinicians, and leadership. o Produces reports and analytics that facilitate evidence-based clinical, financial, and operational decisions. Systems Development and Automation o Identifies and defines both process and data improvements. o Build and maintain systems to process, integrate, and transform data into robust analytics. o Create algorithms or models to predict medication utilization o Work with software developers to integrate data solutions into existing healthcare platforms. Stakeholder, Regulatory, and Clinical Support o Ensures compliance with deliverable reporting requirements by performing quality data audits and analysis. o Ensure data accuracy, security, and compliance with regulations o Provide expertise on drug-related data to support clinical trials, population health management, or precision medicine initiatives. Other duties as assigned. Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Role Overview:We are seeking a highly motivated Data Scientist to support advanced analytics initiatives across the organization. Key Responsibilities:<ul><li>Manage end-to-end analytics projects including data wrangling, model development, validation, and deployment.</li><li>Collaborate with scientific and operational teams to identify opportunities for data science applications in drug discovery, development, and manufacturing.</li><li>Interact with domain experts and clients to understand data, business challenges and implement robust, scalable solutions.</li><li>Design and implement machine learning models, statistical analyses, and data visualizations to solve real-world problems.</li><li>Develop predictive models for reaction outcomes, process optimization, and quality control.</li><li>Work with structured and unstructured data from lab equipment's, sensors, and other scientific instruments. And also, from enterprise applications (CRM, ERP, etc.)</li><li>Build and maintain data pipelines and dashboards for real-time monitoring and reporting.</li><li>Implement AI workflows for enhancing decision-making processes</li></ul> Qualifications:<ul><li>Education: MS/MTech in Mathematics, Statistics, Computer Science.</li><li>Experience: 3+ years in data science or advanced analytics.</li><li>Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau).</li><li>Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with cheminformatics or bioinformatics tools (e.g., RDKit, KNIME) is a plus.</li><li>Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.</li></ul> Preferred Skills & Expertise:<ul><li>Sound knowledge of statistical, machine learning algorithms and applications.</li><li>Expertise in the use of Python for machine learning and complex data analysis</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Knowledge of FAIR data principles and data governance in scientific environments.</li><li>Exposure to digital lab tools like ELN, LIMS, or CDS.</li><li>Understanding of regulatory requirements in pharma (e.g., GxP, 21 CFR Part 11).</li><li>Knowledge of Computer Vision and Gen AI approaches.</li><li>Excellent storytelling and presentation skills.</li><li>Ability to work in a dynamic multidisciplinary environment</li></ul> Why Join Us?<ul><li>Be part of a growing digital transformation journey in a science-driven organization.</li><li>Work on impactful projects across accelerate drug discovery and development.</li><li>Work on projects on support functions like Finance, Supply chain, HR, etc.</li><li>Collaborate with world-class scientists and technologists.</li><li>Enjoy a culture of innovation, learning, and continuous improvement.</li></ul>

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people’s lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our <a>YouTube Channel.</a> The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments. Responsibilities:<ul><li>Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.</li><li>Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maping data decisions and system control needs.</li><li>Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.</li><li>Function as a predictive modeling or application team lead on Core Map projects.</li></ul> Requirements:<ul><li>• MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.</li><li>• Minimum of 7+ years related professional experience.</li><li>• Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.</li><li>• Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.</li><li>• Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.</li><li>• Programming experience with SQL, shell script, Python, etc.</li><li>• Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.</li><li>• Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.</li><li>• Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.</li></ul> Preferred Qualifications: <ul><li>• Development experience with and Scala</li><li>• Development experience with Docker</li><li>• Development experience with GIS data</li><li>• Development experience with NoSQL (i.e. DynamoDB)</li></ul>

Question	Topic	Difficulty	Ask Chance
Bootstrapping Confidence Intervals	Statistics	Easy	Very High
Lyft Ops Dashboard	Data Visualization & Dashboarding	Medium	Very High
Concurrent LLM Serving	LLM & Agentic Systems	Hard	Very High