data scientist ii

EVA Pharma

<div><p>Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for our team members.</p><p></p><p>
Job Summary:
</p><p>We are seeking a passionate and talented <b>Data Scientist II </b>to join our dynamic team. The ideal candidate will contribute to our mission of enhancing human health and well-being, ensuring that we meet the highest standards of excellence in our industry.</p><p></p><p><b>
Key Responsibilities:</b></p><ul>
<li>
Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges.</li>
<li>Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement.</li>
<li>Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact.</li>
<li>Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions.</li>
<li>Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models.</li>
</ul><p><b>
Requirements</b></p><ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li></ul><ul>
<li>2-4 years of experience as a Data Scientist or in a similar analytical role.</li>
<li>Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.</li>
<li>Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports.</li>
<li>Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences.</li></ul></div>

Data Scientist II

EVA pharma

<div>
 <p>
  Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
  <br/>
 </p>
 <p>
  Job Summary:
 </p>
 <p>
  We are seeking a passionate and talented
  <strong>
   Data Scientist II
  </strong>
  to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
  </li>
  <li>
   Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
  </li>
  <li>
   Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
  </li>
  <li>
   Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
  </li>
  <li>
   Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
  </li>
 </ul>
 <ul>
  <li>
   2-4 years of experience as a Data Scientist or in a similar analytical role
  </li>
  <li>
   Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
  </li>
  <li>
   Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
  </li>
  <li>
   Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
  </li>
 </ul>
</div>


General Mills

<div>Job Description:<p></p><div><div><div><p><br>
</p><div><div><div>Position Title</div><div><br>
Data Scientist II</div><div><br>
Function/Group</div><div><br>
Digital &amp; Technology</div></div><div><div><br>
Location</div><div><br>
Mumbai India</div><div><br>
Shift Timing</div><div><br>
11 AM &ndash; 8 PM</div></div><div><div><br>
Role Reports to</div><div><br>
Manager Data Science</div><div><br>
Remote/Hybrid/in-Office</div><div><br>
Hybrid</div></div><br>
</div><div><p><b>
ABOUT GENERAL MILLS</b></p></div><p></p><p><b><br>
We make food the world loves: 100 brands. In 100 countries. Across six continents. </b>With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H&auml;agen-Dazs, we&rsquo;ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.</p><p>
How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate
</p><p>us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com</p><p></p><p><br>
General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people.</p><p>
With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital &amp; Technology (D&amp;T) Innovation, Technology &amp; Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy &amp; Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in</p><p>
We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow.</p><div><p><b>
JOB OVERVIEW</b></p></div></div></div><p></p><div><div><p><b><br>
Function Overview</b></p><p></p><p><br>
The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The team's expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents.</p><p><br>
</p><p>The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the &quot;Work with Heart&quot; philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link</p><p></p><p><b><br>
Purpose of the role</b></p><p></p><p><br>
General Mills, Digital and Technology India, is seeking a Data ScientistII to join the Data Science team in the Enterprise Data Capabilities function. Data Scientists within our team are dedicated to build enterprise intelligent automations and enable ML solutions on various use cases including but not limited to demand forecasting, text classification, operational analytics, optimization, price optimization, logistics, ecommerce, and market mix modelling. They are also responsible for curating a community of practice to determine the best standards and practices around data science at General Mills.</p></div></div><p></p><div><p><br>
</p></div><br>
<div><p><b>KEY ACCOUNTABILITIES</b></p></div><div><div><div><b><br>
Deliver on business problems:
</b></div><ul><li>Partners with business stakeholders to deliver value add insights and intelligent solutions through ML and AI.</li></ul><ul><li>Develops AI solutions leveraging the best practices and enables maintainability and scalability.</li></ul><ul><li>Collaborates with ML engineers and systems engineers to ensure the models are deployed in a scaled and optimized way. Additionally ensure support the post-production to ensure model performance degrades are proactively managed.</li></ul><ul><li>Expected to be an expert in the business domain spaces to understand and interact with the business stakeholders.</li></ul><ul><li>Recognizes opportunities to apply external industry trends and implements them within role.</li></ul><div></div><div><b><br>
Consultation:</b></div><ul><li>Lead Interactions with stakeholders to learn on problem statement and drive results.</li></ul><ul><li>Be an advocate for data science team.</li></ul><ul><li>Constructively challenge the other data scientists on approach</li></ul><ul><li>Contribute to best practices as we evaluate new platforms, tools and pipelines.</li></ul><p></p><div><b><br>
Stakeholder Management:</b></div><ul><li>Manage the assigned priorities, assigned tasks and consistency of execution.</li></ul><ul><li>Develop trust and credibility with business leaders.</li></ul><ul><li>Closely collaborates with the stakeholders on projects and data science leaders to ensure practices are developed and enhanced to support accelerated analytic development and maintainability.</li></ul><p></p><div><b><br>
Collaboration:</b></div><ul><li>Works on problems of diverse scope.</li></ul><ul><li>Demonstrates good judgment in selecting methods and techniques.</li></ul><ul><li>Networks with senior internal and external personnel in own area of expertise.</li></ul><ul><li>Lead research work to new analytic trends aligned to business.</li></ul><ul><li>Demonstrates learning agility and ability to apply to work.</li></ul><ul><li>Leverage and contribute to new open-source innovation.</li></ul></div></div><p></p><div><p><b><br>
MINIMUM QUALIFICATIONS</b></p></div></div><br>
<p></p><ul><li>
Minimum qualification- bachelor&rsquo;s degree (full time)</li><li>
Total analytics experience required 6-9 Years.
</li><li>Bachelor&rsquo;s or Master degree in computer science/Statistics/Applied Mathematics/Operations research/Industrial engineering from Tier 1 institute.
</li><li>3+ yrs in a supply chain analytics with strong understanding of supply chain operations inventory management, manufacturing, and distribution</li><li>
Proven implementation of ML and AI practices
</li><li>Expertise in supervised ML algorithms,
</li><li>Proficiency in FMCG/CPG domain along with experience on cyber security fundamentals is a plus.</li><li>
Experience working with an Agile development methodology featuring sprints, point estimation and daily stand-ups.
</li><li>Bachelor&rsquo;s degree in computer science/Statistics/Applied Mathematics from Tier 1 institute.</li></ul><div><b><br>
Must - have technical skills and experience</b></div><div><b>
(Expertise in at least one among section1 and/or section2)</b></div><div><b>
Section1-Operations Research(Optimization and simulation)</b></div><ul><li>
Experienced in constructing and solving Linear, Mixed integer, Constraint and non linear programming and discrete event simulation problems</li><li>
Must have hands on experience in solving enterprise level optimization problems and knows how to optimize run time and memory utilization while solving large scale problem.</li><li>
Should be comfortable in designing own heuristic algorithms or implementing any known heuristic approach.</li><li>
Have worked in areas like network optimization, cutting stock, knapsack kind of problems, monte carlo and discrete event simulation</li><li>
Must have worked in at least a couple of major commercial/open source OR tools and software like python, Google OR tools , IBM Ilog Cplex, Gurobi, AIMMS, FICO express etc
</li></ul><div><b>Section-2- AI/ML</b></div><ul><li>
Expertise in supervised ML algorithms, regression, decision trees, ensemble models, time series, forecasting, neural networks, OLS regression, naive bayes approach, linear attribution model, time decay model, markov chains along with linear optimization and performance tuning
</li><li>Proven implementation of ML and AI practices
</li><li>Exposure to unsupervised learning and NLP</li><li>
Technical concepts and platforms- MLOps, Containerization, Data Lineage and Visualization.
</li><li>Proficiency on Cloud Platform( GCP preferable), SQL, Python and R</li></ul></div><div></div>

D&T Data Scientist II

TechnipFMC

<div></div><div><div><div><div><div><div><div><div><div><div><div><div><b>Location:
</b>Hyderabad, IN
</div></div></div></div><div><div><div><div><b>Employment type: </b>Employee
</div></div></div></div><div><div><div><div><b>Place of work: </b>Office
</div></div></div></div><div><div><div><div><b>Offshore/Onshore: </b>Onshore
</div></div></div></div><div></div><div><div><p>TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration &ndash; and we want you to be part of it. You&rsquo;ll be joining a culture that values curiosity, expertise, and ideas as well as equal opportunities, inclusion, and authenticity. Bring your unique energy to our team of more than 21,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go.</p>
</div></div><div><div><div><div><div><div><div><div>Job Purpose</div>
</div><div><div>Applies existing data science techniques to new problems and datasets using specialised programming techniques.<br>
Selects from existing data sources and prepares data to be used by data science models.<br>
Evaluates the outcomes and performance of data science models. Identifies and implements opportunities to train and improve models and the data they use.<br>
Publishes and reports on model outputs to meet customer needs and conforming to agreed standards.</div>
</div></div><div></div><div><div><div>
Job Description</div>
</div><div><div>
<div><b>Main Accountabilities</b></div>
<div>
Establishes strategic recommendations on data collections incorporating business requirements and knowledge of best practices<br>
Identifies and evaluates relevancy of data sources both internal and external, in collaboration with subject matter experts and IT stakeholders<br>
Develops innovative and effective approaches to solve analytics problems through the application of data mining, feature engineering, scenario modelling, advanced algorithms, machine learning, experimental design, and hypothesis testing<br>
Works with the development team to ensure relevant analytics and data is utilized in digital services<br>
Suggests improvements to business metrics for the digital services<br>
Structures and presents data insights in easy to understand terms for external stakeholders</div>
<div><b>
Job Scope</b></div>
<div>
Works with disciplines and technical teams to reorganize data, analzye data, and create predictive insights that guide business behaviors, according to compliance and TPFMC Standards</div>
<div><b>
Typical profile/ Must have</b></div>
<div>
BSc Required, MSc/PhD preferred in Data Science, Computer Science, Computer Engineering, Mathematics, or Statistics
<br>
(Experience can compensate for lack of formal competency)
<br>
BSC with 5+ years of experience or MSc/PhD with 5+ years of experience in data science, data engineering, data analysis, or software development
<br>
5+ years of programming experience in R, python, or other data science language<br>
Competent in creating and optimizing SQL and shell scripts<br>
Capable of analyzing, wrangling, and joining varied datasets
<br>
Capable of using machine learning platforms to design, build, test, refine, and deploy predictive models<br>
Capable of building high-quality graphical visualizations of data
<br>
Capable of effectively structuring information and communicating insights in presentations</div><br>
<div></div>
</div>
</div></div><div></div><div><div><div>You are meant for this job if:</div>
</div><div><ul><li>Thrive on solving complex problems using data-driven approaches.</li>
<li>Have a strong foundation in programming, statistics, and machine learning.</li>
<li>Can translate raw data into actionable insights that influence business decisions.</li>
<li>Communicate technical findings clearly to both technical and non-technical stakeholders.</li>
</ul></div></div><div><div><div>Skills</div>
</div><div><div>Data Science</div><div>
Data Analysis</div><div>
Data Engineering</div><div>
Python</div><div>
R Programming</div></div></div></div>
</div></div></div></div><div><div><p><b>Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes equal opportunities and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matter and we encourage you to add to our culture.</b></p>
<p><b>TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain.</b></p><br>
<p></p>
</div></div><div><div><div><div><b>Date posted: </b>Oct 23, 2025
</div></div></div></div><div><div><div><div><b>Requisition number: </b>15497</div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Booking Holdings

<div>Role Description:
<p><b>
Key Responsibilities</b></p><ul><li>
Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently.</li><li>
Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value.</li><li>
Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams.</li><li>
Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making.</li><li>
Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement.</li><li>
Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and their peer's when a more efficient way presents itself.</li><li>
Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work.</li><li>
Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example.</li><li>
Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area.</li><li>
Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do.</li><li>
Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects.</li><li>
Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit).</li><li>
Responsible for ensuring quality of their own work by validating it through peer review.</li><li>
Responsible for influencing business decisions within their specific area (ie. product team).</li></ul><p><b><br>
Communication.Stakeholder</b></p><ul><li>
Business Stakeholders</li><li>
Craft team</li><li>
Managers</li><li>
Leadership team</li><li>
DSnA Community</li><li>
Other tech crafts</li></ul><p></p><p><b><br>
Level of Education.Level of Education</b></p><ul><li>
Master degree</li></ul><p><b><br>
Years of relevant Job Knowledge.Years of relevant Job Knowledge</b></p><ul><li>
Broad Job Knowledge (4 - 7 years)</li></ul><p><b><br>
Requirements of special knowledge/skills</b></p><ul><li>
Experience solving real problems using data mining techniques and with statistical rigor</li><li>
Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R.</li><li>
Excellent communication skills</li><li>
Strong skills in translating business problems into data problems</li><li>
Strong data visualization skills</li><li>
Strong skills in storytelling with data</li><li>
Strong knowledge of statistics and experimentation</li><li>
Strong knowledge of data management (engineering, data pipelines, workflows)</li><li>
Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling</li></ul></div><p></p>

Data scientist II

Uber

<div><b>About the Role</b>
<br>
<br>
At Uber, we empower people to earn and transact on the platform and to do this across the globe for millions of customers, we need to be compliant with local regulations and manage the risk that is associated with fraud losses. The Risk experience and platform Data Science &amp; Analytics team is responsible for keeping the platform safe from fraud losses while minimizing friction to good customers. This team drives scalable solutions &amp; products to ensure frictionless experience by driving growth initiatives while keeping an eye on potential losses. We aim to create magical customer experiences by leveraging data and technology to capture insights, identify opportunities, and ultimately prioritize product and engineering initiatives.
<br>
<br>
Does this sound exciting to you? Are you a tested teammate, strategic problem solver, and executor? We want to hear from you.
<br>
<br>
<b>What the Candidate Will Need / Bonus Points</b>
- What the Candidate Will Do -<br>
<br>
<br>
<ul><li>Build scalable analytical frameworks to support product analytics for Uber's Risk Experience and Governance Platform
</li><li>Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues
</li><li>Develop and track metrics and reporting functions to measure and monitor risk products on our platform
</li><li>Effectively and proactively communicate insights and drive projects to drive towards team goals
</li><li>Proactively seek out opportunities to build new solutions to tackle Risk Experience and Governance Platform
</li><li>Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts
</li></ul>- Basic Qualifications -<br>
<br>
<br>
<ul><li>4+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science
</li><li>Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience
</li><li>Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R)
</li><li>Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries
</li></ul>- Preferred Qualifications -<br>
<br>
<br>
<ul><li>SQL mastery. Write efficient and complex code in SQL
</li><li>Experience in Python/R and experimentation, A/B testing, and statistical modelling
</li><li>Experience in Risk in a Product / Tech company
</li><li>Proven ability to handle and visualise large datasets, explore and utilize raw data feeds
</li><li>Love of data - you just go get the data you need and turn it into an insightful story.
</li><li>A well-organized, structured approach to problem-solving
</li><li>Strong sense of ownership, accountability, and entrepreneurial spirit
</li><li>Great communicator, problem-solver &amp; confident in decision making
</li><li>Independent &amp; autonomous, while still a strong teammate
</li><li>Enthusiastic, self-starting and thrives in changing, agile environments
</li><li>Liaise with Product and engineering counterparts to launch and impact new products</li></ul></div>

Talkdesk

<div><div><p>At Talkdesk, we are courageous innovators focused on redefining the customer experience, making the impossible possible for companies globally. We champion an inclusive and diverse culture representative of the communities in which we live and serve. And, we give back to our community by volunteering our time, supporting non-profits, and minimizing our global footprint. Each day, thousands of employees, customers, and partners all over the world trust Talkdesk to deliver a better way to great experiences.</p>
<p>
We are recognized as a cloud contact center leader by many of the most influential research organizations, including Gartner and Forrester. With $498 million in total funding, a valuation of more than $10 Billion, and a ranking of #16 on the Forbes Cloud 100 list, now is the time to be part of the Talkdesk legacy to help accelerate our success in a new decade of transformational growth.</p>
<p>
At Talkdesk, we embrace FAST, our fundamental operating principles that define who we are as an organization. These principles drive us to make the impossible possible. FAST: Focus + Accountability + Speed = Talkdesker.</p>
<ul>
<li>Focus: Focus time, energy and attention on what is most impactful for the business and thoughtful about how and when to partner with others.</li>
<li>Accountability: Hold self and others accountable to meet commitments and drive results. Accept responsibility for successes and failures.</li>
<li>Speed: Execute with agility and urgency. Act promptly, decisively, and without delay. Make good and timely decisions that keep the organization moving forward.</li>
<li>Talkdesker: YOU!</li>
</ul></div><p><b>
Role Summary:</b> We are looking for a highly technical AI Engineer to join our People Team and accelerate our journey to become an AI-first organization. In this role, you'll be at the heart of transforming how our People function operates by taking repetitive, manual processes and replacing them with AI-powered, scalable solutions. Your work will directly improve how thousands of employees experience their careers here, while showcasing what it means to run a truly AI-driven People function.</p>
<p>
As a mid-level individual contributor, you will design and maintain the data architecture, pipelines, and integrations that consolidate people data from multiple systems into a centralized analytics environment. In your first year, your priority will be building a robust data foundation &mdash; ensuring clean, well-structured, reliable data that powers analytics and future AI applications. From there, you'll expand into automation and machine learning solutions &mdash; for example, predictive models or AI-driven tools that elevate HR decision-making.</p>
<p>
This role is highly collaborative, partnering with the People Analytics team, IT data engineers, PBPs, and external vendors or consultants to bring advanced technology to life within the People function.</p><br>
<p></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li><b>Data Pipeline Development:</b> Build and manage scalable data pipelines to extract, transform, and load (ETL/ELT) people data from all our HR systems (Workday, Greenhouse, Peakon, Workramp, etc.) into a central data repository (Snowflake). Ensure data from different sources is properly connected (e.g. linking recruiting data to employee records) to enable holistic analysis. For example, you will design and develop people analytics data models and pipelines that provide efficient reporting across global HR stakeholders. This includes scheduling and orchestrating workflows, writing efficient scripts to transform data, and embedding data validation checks and alerting for data quality.<br>
</li>
<li><b>Data Architecture &amp; Modeling:</b> Define the architecture for our People Analytics data environment. Structure a data warehouse or data lake that organizes HR data (e.g. employee demographic data, recruitment funnel data, performance scores, engagement survey results) in a logical, query-friendly manner. Develop and maintain dimensional data models and tables that support analytics needs (e.g. fact tables for headcount, snapshots for historical trend analysis). Ensure that the data architecture can scale with growth and accommodate new data sources or changes in HR processes.<br>
</li>
<li><b>Data Integration &amp; Quality:</b> Work closely with IT and system owners to implement data integration solutions (APIs, scheduled exports, etc.). Monitor data flows to ensure timely and accurate updates. Implement robust data quality controls &ndash; for instance, building validation rules, anomaly detection, and notifications when data is incomplete or inconsistent. The goal is to deliver a reliable dataset for analysis with minimal manual intervention. Data quality and scalability with minimal manual work (DevOps) should be a hallmark of your solutions.<br>
</li>
<li><b>Analytics &amp; Reporting Enablement:</b> Collaborate with People Analyst(s) to understand their data needs and optimize data structures for reporting (e.g. in Looker). Create documentation and maintain definitions for the data (e.g. data dictionary) to ensure consistency. Where helpful, develop automated data views or queries that analysts and People partners can use for self-service reporting. You may also build or support the enhancement of data visualizations and dashboards in our BI tools to surface key metrics.<br>
</li>
<li><b>Automation of HR Processes:</b> Identify opportunities to streamline, enable self-service, and automate manual processes in the People Ops realm. This could include building scripts or small applications to automate data transfers between systems (for example, automating a daily sync of new hires from Workday to downstream systems), generating routine reports or audit logs, or using robotic process automation (RPA) or scripts to eliminate repetitive administrative tasks. Work with HR process owners to prioritize automations that save time and reduce errors.<br>
</li>
<li><b>AI and Machine Learning Projects:</b> As the data foundation matures, lead experimentation with Ai/ML solutions to address HR needs. Develop predictive models or algorithms on people data (for example, flight risk predictions, quality of hire, performance prediction, skills/career path recommendations, etc.). Use appropriate machine learning libraries or tools to prototype solutions. Given our focus on employee feedback, you might also apply natural language processing (NLP) to analyze open-ended survey comments or other text data for sentiment and themes. Evaluate the feasibility of Ai tools in areas like resume screening, chatbot assistants for HR, or personalized learning recommendations &ndash; working closely with the Director to align these projects with strategic goals. (Note: We are open to either building these solutions or integrating third-party Ai vendors, so you will also partner to research and recommend vendor tools where appropriate.)<br>
</li>
<li><b>Collaboration &amp; Consulting:</b> Work in tandem with IT data and InfoSec teams to align on data architecture and adhere to company-wide data security practices. Collaborate with the People Analytics Team to understand business questions and ensure the data is structured to answer them. Provide technical expertise in conversations about new HR tech vendors &ndash; for example, assessing how our applicant tracking platform could integrate with our warehouse, or how to export data for analysis. Assist in scoping and implementing any Ai/analytics vendor solutions we might purchase, ensuring that data flows and outcomes meet our requirements.<br>
</li>
<li><b>Continuous Improvement &amp; Innovation:</b> Stay up-to-date on emerging technologies in data engineering, analytics, and Ai (especially in the HR domain). Introduce best practices for code management, documentation, and reproducibility. Build reusable frameworks and pipelines that can be leveraged by others on the team, thereby accelerating future development. Always be on the lookout for new tools or methods (for instance, improvements in Workday's data analytics capabilities or new open-source ML tools) that could enhance our People Analytics capabilities.</li>
</ul>
<p><b>Qualifications/Skills:</b></p>
<ul>
<li><b>Education &amp; Experience:</b> Bachelor's degree in Computer Science, Data Engineering, Analytics, or related field. Approximately 4-6 years of hands-on experience in data engineering or analytics development (experience in HR/People data is a plus).<br>
</li>
<li><b>Data Engineering &amp; Programming:</b> Strong skills in SQL and at least one programming language for data processing (e.g. Python, R, or similar &ndash; we are flexible with the specific language). Experience building ETL/ELT pipelines in a professional setting &ndash; including data extraction via APIs or database queries, transformation (using scripts or tools like dbt), and loading into data warehouses. Familiarity with cloud data platforms and tools (e.g. AWS Redshift, Google BigQuery, Snowflake, etc.) and orchestration frameworks are highly desirable.<br>
</li>
<li><b>Analytics &amp; BI Tools:</b> Experience working with BI/analytics tools and frameworks. Ability to structure data for reporting and to understand how analysts will use the data (experience with Looker, Tableau, or similar data visualization tools is a plus). Basic understanding of statistics or data analysis techniques; ability to collaborate with data analysts and comprehend their needs.<br>
</li>
<li><b>Machine Learning Knowledge:</b> Foundational knowledge of machine learning techniques and libraries (such as scikit-learn, TensorFlow, or NLP libraries) is preferred. While deep expertise is not required initially, the role will involve growing into advanced analytics &ndash; so curiosity and ability to learn new Ai/ML tools is important. Any experience building predictive models or analytics solutions in HR (e.g. attrition models, survey text analysis) would be an advantage.<br>
</li>
<li><b>Automation &amp; Scripting:</b> Proven ability to automate tasks using scripts or programming. Experience integrating systems or using APIs to connect tools. Comfort with handling data in various formats (CSV, JSON, etc.) and troubleshooting data issues.<br>
</li>
<li><b>Collaboration &amp; Communication:</b> Good communication skills to work with non-technical stakeholders. Ability to translate complex technical concepts into layman's terms when needed. A collaborative mindset &ndash; ready to work closely with People team members, understand business processes, and tailor solutions accordingly.<br>
</li>
<li><b>Problem-Solving:</b> A self-starter who can proactively identify problems or inefficiencies and develop technology solutions to address them. Strong analytical and problem-solving capabilities, with attention to detail and a commitment to data accuracy.<br>
</li>
<li><b>Adaptability:</b> Willingness to adapt in a fast-paced, changing environment. Our team is experimenting with cutting-edge approaches, so the engineer should be comfortable with ambiguity and rapid learning. Demonstrated ability to research new technology areas and <b>innovate to produce the best results</b> with people data.<br>
</li>
<li><b>Global/Remote Collaboration:</b> Experience working in distributed teams or with colleagues across different regions/time zones is a plus.</li>
</ul><div><p><b>
Work Environment and Physical Requirements:</b></p>
<p>
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)</p>
<h5 class="jobSectionHeader"><i>
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.</i></h5></div></div>

Senior Data Scientist II

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