social scientist

New York University Abu Dhabi

<div>
 We are seeking researchers who are passionate about Data Science, with an emphasis in Computational Social Science, with a starting date of September 1, 2026. Some of the possible research topics include: (i) social media analysis, (ii) collaboration and teamwork, (iii) gender inequality, (iv) diversity, (v) online controlled experiments, and (vi) network science.
 <br/>
 <br/>
 The ideal candidate is self-motivated and hard-working with a Masters degree in Data Science, Computational Social Science, Computer Science, or Information Science, or a bachelor&rsquo;s degree with several years of experience and expertise in their field. The position requires experience with at least one of the following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph theory, visualizations, and online tool development. Experience in conducting online controlled experiments is also desired, but not required. Excellent communication skills in English, ability to work in multidisciplinary teams, and scientific creativity are essential.
 <br/>
 <br/>
 Selected candidates will be working closely with Bedoor AlShebli, an Assistant Professor in Computational Social Science in the Social Science Division at NYUAD. The selected candidate will receive an appointment for three years. The position provides salary higher than internationally competitive rates for Post-Doctoral / Research Engineering / Research Associate positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax.
 <br/>
 <br/>
 Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. To be considered, all applicants must submit a cover letter, curriculum vitae, a research statement highlighting past and current research experience, transcript and at least two reference letters, all in PDF format. If you have any questions, please email: Bedoor AlShebli bedoor@nyu.edu.
 <br/>
 <br/>
 Working for NYUAD
 <br/>
 <br/>
 To help Postdoctoral Associates and faculty thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance to ensure a smooth transition to Abu Dhabi. It includes a competitive salary; housing and transportation allowances; educational assistance for your dependents attending school in the UAE; and access to health and wellness services. Click here for more information on benefits for you and your family
 <br/>
 <br/>
 <strong>
  About NYU Abu Dhabi
  <br/>
  <br/>
 </strong>
 https://nyuad.nyu.edu/en/
 <br/>
 <br/>
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 <br/>
 <br/>
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 <br/>
 <br/>
 UAE Nationals are encouraged to apply
 <br/>
 <br/>
 <strong>
  Equal Employment Opportunity Statement
  <br/>
  <br/>
 </strong>
 <strong>
  For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
  <br/>
  <br/>
 </strong>
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 <br/>
 <br/>
 <strong>
  Sustainability Statement
  <br/>
  <br/>
 </strong>
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>


Junior Research Scientist in the Division of Social Science (Data Science) - Dr. Bedoor AlShebli

LTIMindtree

<div>
 <p>
  <strong>
   <u>
    Data Scientist - GENAI
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Data Scientist who will support building AI tools for customers. The candidate should be skilled at using large data sets to find opportunities for product and process optimization. The candidate must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Primary Skills &ndash; Data Science, Python, AI, ML (Machine Learning) Gen AI &ndash; Generative AI
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Secondary Skills &ndash;
  </strong>
  NLP, LLM, Deep Learning, Cloud (AWS/Cloud)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities for Data Scientist:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
  </li>
  <li>
   Mine and analyse data from databases to drive optimization and improvement of product development and business strategies.
  </li>
  <li>
   Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  </li>
  <li>
   Develop custom models and algorithms to apply to data sets.
  </li>
  <li>
   Use predictive modelling to increase and optimize customer experiences.
  </li>
  <li>
   Coordinate with different functional teams to implement models and monitor outcomes.
  </li>
  <li>
   Analyse large amounts of information to discover trends and patterns.
  </li>
  <li>
   Build predictive models and machine-learning algorithms.
  </li>
  <li>
   Present information using data visualization techniques .
  </li>
  <li>
   Good to have a knowledge of ML lifecycle and model governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications for Data Scientist
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    <u>
     Looking for someone with 5-8 years of experience manipulating data sets and building statistical models, having bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools.
    </u>
   </strong>
  </li>
  <li>
   Experience using statistical computer languages (R, Python etc.) to manage data and draw insights from large data sets.
  </li>
  <li>
   Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.).
  </li>
  <li>
   Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  </li>
  <li>
   Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  </li>
  <li>
   Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  </li>
  <li>
   Experience visualizing/presenting data for stakeholders
  </li>
  <li>
   Experience with Snowflake will be an added advantage
  </li>
  <li>
   Experience in deployment of machine learning models using cloud technologies"
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

Enerjisa Üretim

<div>
 <p>
  We are looking for a
  <strong>
   Data Scientist/Junior Data Scientist
  </strong>
  to join our team in &Idot;stanbul Ata&scedil;ehir Head Office.
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Enerjisa &Uuml;retim, nature and people are our true sources of energy. Every step we take moves us closer to a more sustainable future. As our operations expand across the globe, we continue to create value that goes beyond borders.
 </p>
 <p>
  58% of our energy portfolio comes from renewable sources &mdash; and we&rsquo;re already shaping tomorrow&rsquo;s energy, starting today.
 </p>
 <p>
  People are at the heart of everything we do. Our growth is driven by a deep commitment and enriched by the diverse voices that make us who we are.
 </p>
 <p>
  We believe true transformation begins together.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ready to be part of the change? Join us &mdash; because the future changes with us.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    DATA SCIENTIST/ JUNIOR DATA SCIENTIST
   </u>
  </strong>
 </p>
 <p>
  Are you passionate about the intersection of data science and the energy sector? We are on the lookout for a talented Data Scientist/Junior Data Scientist to join our team and contribute to cutting-edge projects in energy generation, trading, and derivatives. If you thrive on developing quantitative solutions, building decision support systems, and collaborating across multidisciplinary teams, this opportunity is for you!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's or Master's Degree preferably in Industrial Engineering, Computer Science, Engineering or a related quantitative field with a focus on applied statistics, AI, machine learning
  </li>
  <li>
   At least 1-2 years experience on related fields
  </li>
  <li>
   Hands on experience with data science projects &mdash; from requirement specification till deploying, maintaining, and improving production-ready solutions
  </li>
  <li>
   Hands on experience on real-world optimization problems and ability to develop large optimization algorithms or heuristics to solve these problems
  </li>
  <li>
   Hands on experience in scripting languages Python and R
  </li>
  <li>
   Experience of coding in optimization tools as XPRESS, CPLEX or GUROBI or optimization focused Python libraries as xpress, pulp, pyomo
  </li>
  <li>
   Experience with machine learning models
  </li>
  <li>
   Experience on data consumption methods (SQL, API, Azure Service Bus)
  </li>
  <li>
   Experience with cloud environment is a plus
  </li>
  <li>
   Experience with DevOps tools (GitHub, Docker) is a plus
  </li>
  <li>
   Knowledge of Turkish energy sector is a plus
  </li>
  <li>
   Fluent in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Descriptions:
  </strong>
 </p>
 <ul>
  <li>
   Developing quantitative solutions centered around energy generation, trading, and derivatives
  </li>
  <li>
   Developing statistical forecasting models, simulation tools, optimization algorithms and mathematical models for stochastic processes
  </li>
  <li>
   Building decision support systems from scratch
  </li>
  <li>
   Performing fundamental data analysis and data visualization
  </li>
  <li>
   Performance tracking and maintaining the existing products
  </li>
  <li>
   Collaborating with backend, frontend, data engineering, product and business teams for model development and implementation by regarding the secure software development cycle
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Awaits You at Enerjisa &Uuml;retim?
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Hybrid Working Model
   </strong>
  </li>
  <li>
   <strong>
    Master&rsquo;s Degree Support
   </strong>
  </li>
  <li>
   <strong>
    Flexible Benefits
   </strong>
   <em>
    (With our "Sana G&ouml;re" program, you can customize your benefits based on your individual needs and preferences)
   </em>
  </li>
  <li>
   <strong>
    Child&amp;Pet-Friendly Policies
   </strong>
  </li>
  <li>
   <strong>
    Collective&amp;Special Leave Options
   </strong>
  </li>
  <li>
   <strong>
    Learning&amp;Development Programs and LinkedIn Learning Membership
   </strong>
  </li>
  <li>
   <strong>
    Power MBA Development Program
   </strong>
   <em>
    (In collaboration with Sabanc&inodot; University Executive Development Unit &ndash; offering training opportunities in energy markets, generation technologies, data analytics, strategy, finance, and more)
   </em>
  </li>
  <li>
   <strong>
    Social Activity Clubs
   </strong>
   <em>
    (Sports, arts, travel, gastronomy)
   </em>
  </li>
  <li>
   <strong>
    Healthy Living Services
   </strong>
   <em>
    (Fitness trainers, dietitian support, and wellness programs)
   </em>
  </li>
  <li>
   <strong>
    Parent Support Program
   </strong>
   <em>
    (Includes support from nurses, dietitians, psychologists, and coaches from pregnancy through postpartum)
   </em>
  </li>
  <li>
   <strong>
    Private Pension Plan
   </strong>
   (with company Contributions)
  </li>
  <li>
   <strong>
    Private Health and Life Insurance
   </strong>
  </li>
  <li>
   <strong>
    Sabanc&inodot; Life Privileges
   </strong>
   <em>
    (Exclusive offers in shopping, travel, technology, wellness, and more)
   </em>
  </li>
 </ul>
 <p>
  👉
  <strong>
   <u>
    Click Here To Watch Our Office Promotional Video
   </u>
  </strong>
 </p>
</div>


Data Scientist/Junior Data Scientist

GD Goenka Public School

<p>We are looking for a skilled and experienced Social Science school teacher.</p><p>A few core duties of this position are as follows:</p><ul><li>Develop interactive and creative course material</li><li>Conduct learning sessions and classes</li><li>Assign assignments for homework and assess submissions</li><li>Record student attendance, grades and performance</li><li>Supervise students to ensure their well-being and safety</li><li>Report progress and challenges to parents or guardians</li><li>Organise co-curricular events in the school</li><li>Perform the duties of a class teacher</li></ul><p>Required skills and qualifications:</p><ul><li>Minimum of three years of teaching experience</li><li>Bachelor of Arts</li><li>Bachelor of Education</li><li>Understanding of the curriculum</li><li>Mandatory training and communication skills</li><li>Personality that is warm and friendly</li><li>Planning and organizational skills</li><li>Passion for educating young students</li></ul><p>Job type: Full time Salary: ₹15,000 to ₹25,000 per month</p><p><b>Only experienced candidate should apply. Please do not approach for any other subject. No accommodation provided.</b></p><p>Job Type: Full-time</p><p>Pay: ₹8,086.00 - ₹30,000.00 per month</p><p>Work Location: In person</p>

TGT Social Science

Department of City Planning

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Associate Demographic Scientist
</b></h1></div><div><div><div><div><ul><li>DEPARTMENT OF CITY PLANNING
</li></ul></div></div><div><div>Posted On: 12/31/2025
</div></div><div><div><ul><li>Full-Time
</li></ul></div></div><div><div><div>Location
</div><div>MANHATTAN</div>
</div></div></div><div><div><div><ul><li>No Exam Required
</li></ul></div></div><div><div><div><div>Department
</div><div>Population</div>
</div></div></div><p></p><div><div><div>Salary Range:</div>
<div>$87,743.00 &ndash; $100,904.00</div>
</div></div></div></div><div><div><p><b>Save</b></p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div>
<div><div><div>THE AGENCY<br>
The Department of City Planning (DCP) plans for the strategic growth and development of the City through ground-up planning with communities, the development of land use policies and zoning regulations applicable citywide and sharing its perspectives on growth and community needs with sister agencies in collaboration with the Office of Management and Budget (OMB).
<br>
<br>
DCP is a great place to work &ndash; cultivating intellectual inspiration, professional development, and creativity. Visit our website at www.nyc.gov/planning to access the full listing of job opportunities and to learn more about the agency&rsquo;s services.<br>
<br>
THE DIVISION<br>
The Population Division is responsible for the compilation, analysis and dissemination of census and related federal, state and local data for city agencies, local communities and the media. It is the city&rsquo;s hub of expertise in census data analyses and dissemination. Within the Department, the Population Division provides data for a variety of local and citywide planning studies, environmental review analyses and capital planning strategies. The division also provides other city agencies and outside organizations with data to address questions involving needs assessment, program planning and targeting, and policy formulation. This includes the development of current population estimates and short- and long-term population projections.<br>
<br>
THE POSITION<br>
<ul><li>Conduct research into difficult-to-enumerate housing units to assist with 2030 Census preparations</li><li>Analyze population data for a variety of projects related to needs assessments, policy development, and program planning/implementation</li><li>Write reports on a host of demographic and socioeconomic topics to inform decision-makers and the broader public about the city&rsquo;s evolving population characteristics</li><li>Advance the development of innovative methods used to produce small area population estimates and publish research in peer-reviewed journals</li><li>Present on demographic topics to a variety of audiences, including city planners, members of other city agencies, and the public</li><li>Support the production of population projections, constructed using the latest demographic methods, for New York City and various neighborhood geographies</li><li>Assist in performing quality assurance of data files, and documenting work procedures and methodologies</li></ul><br>
Visit cityjobs.nyc.gov and follow the steps below:<br>
1. Search for job ID number: 763715<br>
2. Click on the job business title: Associate Demographic Scientist
<br>
3. Click on &ldquo;Apply&rdquo; at the bottom of the posting<br>
<br>
Authorization to work in the United States is required for this position. The NYC Department of City Planning does not offer sponsorship, of any kind, for any type of employment opportunity. Applicants are responsible for ensuring that they meet all minimum qualifying requirements for this position at the time of application.
<br>
<br>
Only applicants under consideration will be contacted. Appointments are subject to Office of Management and Budget (OMB) approval.<br>
<br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.<br>
<br>
This position may be eligible for remote work up to 2 days per week, pursuant to the Remote Work Pilot Program agreed to between the City and DC37.<br>
<br>
NOTE: If you would like to request a reasonable accommodation during your visit or have questions regarding the accessibility of our facilities, please reach out to accessibilityinfo@planning.nyc.gov or call 212-720-3508 at least three business days prior to your arrival.<br>
<br>
CITY RESEARCH SCIENTIST - 21744</div><p><b><br>
Minimum Qualifications</b></p><p><br>
1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
<br>
To be appointed to Assignment Level II and above, candidates must have:
<br>
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
<br>
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
<br>
3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in &quot;2&quot; above. Two years as a City Research Scientist Level I can be substituted for the experience required in &quot;1&quot; and &quot;2&quot; above.
<br>
<br>
NOTE:
<br>
Probationary Period
<br>
Appointments to this position are subject to a minimum probationary period of one year.</p><p><b><br>
Preferred Skills</b></p><br>
- Strong research, writing, presentation, and analytical skills reflected in publications and presentations for both expert and non-expert audiences - Advanced coursework in demographic analysis and quantitative research methods, including population estimation and projection methods - Three years of research experience in either a professional capacity or in pursuit of a Ph.D. - Proficiency with various types of regression analyses/statistical techniques using R or other languages - Thorough understanding and experience analyzing decennial census and American Community Survey datasets - Ability to work cooperatively within a team and to work independently - A master&rsquo;s degree with coursework in demographic analysis and quantitative research methods, including population estimation and projection methods - GIS experience a plus<br>
<p><b>
Public Service Loan Forgiveness</b></p><br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.<br>
<p><b>
Residency Requirement</b></p><br>
New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview.<br>
<p><b>
Additional Information</b></p><div></div><p><br>
The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p></div>
</div><div><div><p><b>
</b></p><p><b>Save</b></p>
</div></div></div></div><div><div><div><div><div><div><div>Job ID
</div><div>763715</div>
</div></div><p></p><div><div><div><div>Title code
</div><div>21744</div>
</div></div></div><div><div><div><div>Civil service title
</div><div>CITY RESEARCH SCIENTIST</div>
</div></div></div><div><div><div><div>Title classification
</div><div>Non-Competitive-5</div>
</div></div></div><div><div><div><div>Business title
</div><div>Associate Demographic Scientist</div>
</div></div></div></div><div><div><div><ul><li><div>Experience Level: </div>Experienced (Non-Manager)
</li></ul></div></div><div><div><div><div>Job level
</div><div>02</div>
</div></div></div><div><div><div><div>Number of positions
</div><div>1</div>
</div></div></div><div><div><div><div>Work location
</div><div>120 Broadway, New York, NY</div>
</div></div></div><div><div><ul><li><div>Category: </div>Engineering, Architecture, &amp; Planning
</li></ul></div></div></div></div></div></div><div><div><div><div><div>Associate Demographic Scientist</div></div></div></div></div></div><p></p>

Associate Demographic Scientist

Otokoç Otomotiv

<div>
 <p>
  <strong>
   A World Full of Goodness, Success, and Innovation awaits you at Otoko&ccedil; Otomotiv. If you want to be included in a World Full of Future, let's meet!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Otoko&ccedil; Otomotiv, which was established in 1928 as the first investment of the Ko&ccedil; Group in the automotive sector and started the history of automotive in Turkey, today; Otoko&ccedil;, Avis, Avis Filo, Avis Filo Maestro, Budget, Otoko&ccedil; Insurance, Otoko&ccedil; Used Car, otokocihale.com, is Turkey's largest automotive retailing, car rental and car sharing company serving with Otoko&ccedil; Parts and Lastick brands.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Under the roof of Otoko&ccedil;, new vehicle sales, service, and spare parts services, wholesale spare parts sales, insurance and financing, accessory sales, used car vehicle sales, and vehicle protection systems under the Ford, Ford Trucks, Volvo, Fiat, Alfa Romeo, Jeep, and Maserati brands, in short offers all automotive solutions to the customers under one roof.
 </p>
 <p>
  <br/>
 </p>
 <p>
  In car rental, short-term rental with Avis and Budget brands; Operational leasing with Avis Filo, also known as fleet leasing; Fleet management with the Avis Filo Maestro brand to the customers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Continuing the activities at nearly 400 points in 9 countries, including Turkey, Greece, Azerbaijan, Hungary, Georgia, Kazakhstan, Ukraine, Northern Cyprus, and Northern Iraq, with the vision of " Being a global and leading reference point developing innovative mobility solutions. "
 </p>
 <p>
  <br/>
 </p>
 <p>
  You too, have adopted the organizational agile working principles, giving importance to equality of opportunity and inclusiveness in the candidate and employee experience; If you want to work in a working environment that defines the values of development, innovation, cooperation, sincerity and transparency as the indispensable values of its culture, you can review the announcement details below and apply.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our position where we invite you to join us: Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  At
  <strong>
   Otoko&ccedil; Otomotiv
  </strong>
  , we are seeking an experienced
  <strong>
   Data Scientist
  </strong>
  to drive data-driven decision-making and implement cutting-edge
  <strong>
   Generative AI
  </strong>
  solutions, particularly focusing on the Azure AI ecosystem.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   So, what responsibilities does the Data Scientist take on at Otoko&ccedil; Otomotiv?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   Strategic Data Analysis &amp; Modeling
  </strong>
  : Analyze complex internal data (CRM, ERP, DWH, DLH) to develop statistical models, machine learning, and deep learning solutions for business optimization (e.g., pricing, demand forecasting).
 </p>
 <p>
  &bull;
  <strong>
   LLM Solution Development:
  </strong>
  Design, develop, and deploy solutions leveraging Large Language Models (LLMs) and Small Language Models (SLMs).
 </p>
 <p>
  &bull; Focus on Retrieval-Augmented Generation (RAG) architecture implementation.
 </p>
 <p>
  &bull; Utilize Azure OpenAI Services and Azure AI Search for enterprise AI applications.
 </p>
 <p>
  &bull;
  <strong>
   Data Engineering &amp; Quality
  </strong>
  : Collect, clean, and structure large datasets to ensure high data quality for modeling.
 </p>
 <p>
  &bull;
  <strong>
   Insight &amp; Communication:
  </strong>
  Translate complex analytical findings into actionable business recommendations for stakeholders.
 </p>
 <p>
  &bull;
  <strong>
   AI Strategy Publishing :
  </strong>
  Manage tasks related to AI strategy steps and coordinate with all departments across the company to publish the AI strategy and follow up on domain-specific actions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What are the Required Qualifications?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Bachelor&rsquo;s degree in Computer Science, Statistics, or related technical fields.
 </p>
 <p>
  &bull; 3&ndash;5 years as a Data Scientist, preferably in the automotive sector.
 </p>
 <p>
  &bull; Strong proficiency in Python and SQL.
 </p>
 <p>
  &bull; Expertise in machine learning, statistical analysis, and predictive modeling.
 </p>
 <p>
  &bull; Big Data handling, Azure AI/ML, and Databricks experience.
 </p>
 <p>
  &bull; Data visualization tools (Power BI, Tableau).
 </p>
 <p>
  &bull; LLM/Generative AI Competencies:
 </p>
 <p>
  &bull; Hands-on experience with LLMs (e.g., GPT family, Gemini).
 </p>
 <p>
  &bull; Knowledge of RAG, prompt engineering, Vector Databases, and safety guardrails.
 </p>
 <p>
  &bull; Experience in setting up and managing end-to-end MLOps processes (CI/CD, Model Registry) on Databricks or a similar platform.
 </p>
 <p>
  &bull; Experience in delivering end-to-end Chatbot/LLM projects.
 </p>
 <p>
  &bull; Familiarity with Copilot Studio (Power Virtual Agents).
 </p>
 <p>
  &bull; Familiarity with the automotive industry (e.g., connected car, aftersales).
 </p>
 <p>
  &bull; Strong analytical thinking, problem-solving, and collaboration skills.
 </p>
 <p>
  &bull;Strong communacation skills
 </p>
 <p>
  &bull;Strong planning
 </p>
 <p>
  &bull; Proficiency in English.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Also, what do we promise you in this world?
  </strong>
 </p>
 <ul>
  <li>
   Flexible Benefit
  </li>
  <li>
   Ko&ccedil; Pension Foundation Membership
  </li>
  <li>
   Ko&ccedil; Family Card Membership
  </li>
  <li>
   Complementary Health Insurance
  </li>
  <li>
   Private Health Insurance (Optional)
  </li>
  <li>
   Personal Accident Insurance
  </li>
  <li>
   Food and Service (Lunch Voucher and Cafeteria)
  </li>
  <li>
   Birth Package and Nurse Program for Newborn Baby
  </li>
  <li>
   Free Car Rental and Paid Leave Gift for Married Employees
  </li>
  <li>
   Social Assistance Package
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   How Do Our Recruitment Processes Proceed?
  </strong>
 </p>
 <p>
  Our recruitment process consists of the following stages. Our process length varies according to the position. We want you to know that at the end of the process, we will inform you according to your suitability for the position.
 </p>
 <ul>
  <li>
   Application
  </li>
  <li>
   Preliminary assessment
  </li>
  <li>
   Telephone and face-to-face / online interview
  </li>
  <li>
   Inventory stage
  </li>
  <li>
   Reference research
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  For this and more, you can access all of our open advertisements on Ko&ccedil; Kariyerim, Kariyer.net, Linkedin, and Youthall pages.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Don't forget to follow our Otoko&ccedil; Career social media accounts to be informed about the most exciting developments about us!
 </p>
 <p>
  <br/>
 </p>
 <p>
  --
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Ki&scedil;isel verilerinizin i&scedil;lenmesine ili&scedil;kin ayd&inodot;nlatma metnimize bu linkten ula&scedil;abilirsiniz
  </strong>
 </p>
 <p>
  Otokoc-Calisan-Adayi-Aydinlatma-Acik-Riza.pdf
 </p>
 <p>
 </p>
</div>


Talentxo

<p><b>Data Scientist (Product Company) &ndash; Mumbai</b></p><p>We are hiring a <b>Data Scientist</b> for a <b>consumer internet product company</b> in Mumbai.<br/>This role focuses on building, deploying, and scaling ML models that directly impact product performance and user outcomes.</p><p><b>Required Experience:</b> 2&ndash;5 years</p><p><b>You must have:</b></p><ul><li>2+ years hands-on experience as a Data Scientist or ML Engineer building ML models end-to-end</li><li>Strong <b>Python</b> with ability to implement classical ML algorithms (regression, trees, boosting, etc.)</li><li>Experience in <b>minimum 2+ use cases</b> among recommendation systems, image data, fraud/risk detection, price modelling, propensity models</li><li>Strong <b>NLP exposure</b> (text gen/classification, embeddings, similarity, user profiling, feature extraction from unstructured text)</li><li>Practical experience <b>productionizing models</b> using APIs / CI/CD / Docker on <b>AWS or GCP</b></li><li><b>Product company experience only</b> (not financial domains)</li></ul><p><b>What you will work on:</b><br/>Recommendation &amp; ranking, personalization, fraud/risk, pricing models, churn/propensity, A/B test design, monitoring model &amp; data drift.</p><p><b>Location:</b> Mumbai, Maharashtra<br/><b>Working Days:</b> 5 days/week<br/><b>Outstation Candidates:</b> Allowed if willing to relocate<br/><b>Max Notice Period:</b> 30 days</p><p>Job Type: Full-time</p><p>Pay: ₹2,100,000.00 - ₹2,800,000.00 per year</p><p>Experience:</p><ul><li>Data Scientist or ML Engineer: 2 years (Required)</li></ul><p>Work Location: In person</p>

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