analytical data scientist

Soft Nation Technologies

<p>Soft Nation Technologies is looking for Data Scientist to join the team</p><p>Location: Gulshan-e-Iqbal, Karachi<br/>Timings: 11am-8pm or 12pm-9:00pm</p><p><b>Key Responsibilities</b>:</p><ul><li>Collect, clean, and analyze structured and unstructured data.</li><li>Develop and maintain AI and ML models, including generative AI.</li><li>Perform ETL processes and automate data workflows.</li><li>Conduct web scraping and data extraction from diverse sources.</li><li>Build analytical reports and visualization dashboards.</li><li>Manage databases and ensure data accuracy.</li><li>Document models, results, and data processes.</li></ul><p><b>Required Skills:</b></p><ul><li>Proficient in Python, SQL, Pandas, NumPy.</li><li>Strong understanding of machine learning and data preprocessing.</li><li>Familiar with TensorFlow, PyTorch, or Scikit-learn.</li><li>Experience in data visualization tools.</li><li>Knowledge of database systems and ETL pipelines.</li><li>Skills in web scraping and reverse engineering data workflows.</li><li>Strong analytical and problem-solving abilities.</li></ul><p><b>Preferred Skills:</b></p><ul><li>Exposure to Generative AI tools (OpenAI, Hugging Face, LangChain).</li><li>Understanding of prompt engineering and model evaluation.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Can you join immediately?</li></ul><p>Experience:</p><ul><li>Data Scientist : 1 year (Required)</li></ul><p>Work Location: In person</p>

Data Scientist

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Strong written and verbal communication skills.
</div><div>Ability to explain complex technical concepts to non-technical audiences.
</div><div>Detail-oriented with a strong focus on quality and accuracy.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Bengaluru</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>381022</div>
</div><div><div><b>Desired Skills</b></div>
<div>Python | Data scientist</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Data Scientists

Midas Games

<div>
 <strong>
  Company Description
  <br/>
 </strong>
 <p>
  Midas Games is dedicated to redefining the gaming experience with a focus on delivering unparalleled fun and competition. We create games that captivate our users, offering unique and memorable entertainment. By blending innovation and creativity, we aim to set new standards in the gaming industry. At Midas Games, every project reflects our commitment to excellence and player satisfaction.
  <br/>
 </p>
 <strong>
  Role Description
  <br/>
 </strong>
 <p>
  This is a full-time on-site role for a Data Scientist located in Istanbul, T&uuml;rkiye. The Data Scientist will analyze and interpret complex data to support game development and optimization. Day-to-day tasks include building predictive models, performing statistical analyses, creating data visualizations, and generating actionable insights to enhance game performance and user experience.
  <br/>
 </p>
 <strong>
  Qualifications
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Data Science, Data Analysis, and Data Analytics
  </li>
  <li>
   Expertise in Statistics and Statistical Methods
  </li>
  <li>
   Strong skills in Data Visualization and presenting insights in an understandable format
  </li>
  <li>
   Experience with programming languages such as Python, R, or SQL
  </li>
  <li>
   Strong analytical and problem-solving abilities
  </li>
  <li>
   Bachelor's or higher degree in Data Science, Mathematics, Statistics, or a related field
  </li>
  <li>
   Experience in the gaming industry or with game-related data is a plus
  </li>
 </ul>
</div>


atmaal

<div>
 <ul>
  <li>
   <strong>
    Data Scientist
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Location: Riyadh, Saudi Arabia (On-site)
 </p>
 <p>
  <br/>
 </p>
 <p>
  A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Department
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Digital (Advanced Analytics CoE)
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Years of Experience
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Key Responsibilities
   </strong>
  </li>
 </ul>
 <p>
  &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 </p>
 <p>
  &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 </p>
 <p>
  &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 </p>
 <p>
  &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 </p>
 <p>
  &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 </p>
 <p>
  &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 </p>
 <p>
  &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 </p>
 <p>
  &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 </p>
 <p>
  &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 </p>
 <p>
  &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 </p>
 <p>
  <br/>
 </p>
 <p>
  ⸻
 </p>
 <p>
  <br/>
 </p>
 <p>
  Expertise Required
 </p>
 <p>
  &bull; Power BI
 </p>
 <p>
  &bull; BigQuery
 </p>
 <p>
  &bull; Google Cloud Platform (GCP)
 </p>
 <p>
  &bull; Google Cloud Storage
 </p>
 <p>
  &bull; Vertex AI
 </p>
 <p>
  &bull; Python
 </p>
 <p>
  &bull; Strong technical proficiency and business acumen
 </p>
</div>


FUCHS Lubricants

<div></div><div><p><b>About FUCHS:</b></p><p>
FUCHS Lubricants Co. is the United States operating unit of FUCHS S.E., the world's largest independent manufacturer of specialty lubricants with global sales of over $3.5 billion. We provide high-quality lubricants and services to a wide range of industries such as automotive, appliance, aerospace manufacturers, pharmaceuticals, transportation, food and beverage, mining, and energy. The organization is constantly developing new technology to meet the ever-changing demands of modern industry, and we are recognized for providing world-class technical support to our strong customer base.</p><p></p><p><b><br>
MOVING YOUR WORLD</b> <b>by focusing on your success:</b></p><p>
FUCHS offers a challenging and rewarding working environment where employees are encouraged to develop and grow. We stand behind our core values: trust, creating value, respect, reliability, and integrity. Ours is a culture that fosters creativity and empowerment, values work/life balance, and gives you the freedom to excel. At FUCHS, we aim to nurture your capabilities, ideas, and career.</p><p></p><p><b><br>
Salary:</b></p><p>
FUCHS offers a competitive salary commensurate with experience in a similar position. The salary range for this position is $105,000 - $120,000 per year, but actual salary will vary depending upon a new hire&rsquo;s experience and qualifications, as well as internal equity.</p><p></p><div><p><b><br>
Description:</b></p></div><div><p>
The Data Scientist leverages statistical methods, machine learning techniques, and robust data analysis to uncover insights that improve business performance. This role focuses on hands-on exploration, modeling, and experimentation while collaborating with cross-functional teams to deliver data-driven solutions. The Data Scientist is passionate about learning from data, testing hypotheses, and building foundational analytical assets that support decision-making across the organization.</p><p></p><div><p><b><br>
Your Responsibilities:</b></p></div><div><p>
Strategy &amp; Planning</p></div><div><ul><li><p>
Partner with analysts, engineers, and business stakeholders to define metrics and identify areas for analytical impact.</p></li></ul></div><div><ul><li><p>
Support dataset design and experiment setup in collaboration with statisticians.</p></li></ul></div><div><ul><li><p>
Contribute to analytics standards, documentation, and data mining methodologies.</p></li></ul></div><div><ul><li><p>
Identify linkages across data sources and propose creative new data combinations.</p></li></ul></div><div><p>
Acquisition &amp; Deployment</p></div><div><ul><li><p>
Research analytical tools, technologies, and data sources to recommend enhancements.</p></li></ul></div><div><ul><li><p>
Support data collection efforts and ongoing data quality improvement initiatives.</p></li></ul></div><div><p>
Operational Management</p></div><div><ul><li><p>
Build predictive models and algorithms to address targeted business problems.</p></li></ul></div><div><ul><li><p>
Analyze large datasets to surface trends and actionable insights.</p></li></ul></div><div><ul><li><p>
Develop visualizations that communicate analytical findings effectively.</p></li></ul></div><div><ul><li><p>
Assist in the development of reusable tools, libraries, and automation.</p></li></ul></div><div><ul><li><p>
Participate in testing, model validation, and change-control processes.</p></li></ul></div><div><ul><li><p>
Partner with engineering and database teams to ensure data integrity.</p></li></ul><p></p><div><p><b><br>
Qualifications we are looking for:</b></p></div><div><div><ul><li><p>
Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.</p></li></ul></div><div><ul><li><p>
1&ndash;3 years of experience using quantitative methods to solve analytical problems.</p></li></ul></div><div><ul><li><p>
Proficiency in Python or R; familiarity with SQL and NoSQL databases.</p></li></ul></div><div><ul><li><p>
Experience working with large datasets and statistical modeling techniques.</p></li></ul></div><div><ul><li><p>
Strong communication, documentation, and problem-solving skills.</p></li></ul><p></p><p><b><br>
These are your benefits:</b></p><p>
FUCHS offers a challenging and rewarding working environment where employees are encouraged to develop and grow as professionals. In this role, you will have the opportunity to work on projects that will expand your experience and challenge your abilities in the global marketplace. The position also offers an excellent compensation package and a comprehensive suite of benefits. Detailed benefit information can be found at this link: <b>https://fuchs.com/us/en/benefits</b><b>.</b></p><p></p><p><br>
FUCHS Lubricants Co. is an equal employment opportunity (EEO)/AA employer and strongly supports diversity in the workplace (m/f/d/v).</p></div></div></div></div><p>
Do you have any questions? Jordan Hallow (jordan.hallow@fuchs.com) will be more than happy to answer them!</p></div>

BillCut.com

<div>
 <strong>
  Company Description
  <br/>
 </strong>
 <p>
  BillCut.com is a purpose-driven company working to revolutionize how India approaches financial management and debt handling. By creating smart and user-centric solutions, we make money management simpler and reduce financial stress for users. Our platform enables Indians to transition from high-interest credit to low-interest EMI plans, leveraging advanced technology and partnerships with leading financial institutions. At BillCut, we are committed to empowering individuals to achieve financial freedom and build a brighter financial future.
  <br/>
 </p>
 <strong>
  Role Description
  <br/>
 </strong>
 <p>
  This is a full-time, on-site Data Scientist role located in New Delhi. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business challenges. Key responsibilities include analyzing and interpreting large datasets, deriving actionable insights, creating data visualizations, and utilizing statistical techniques to inform decision-making. The role will also involve optimizing algorithms, maintaining data models, and collaborating with cross-functional teams to support strategic objectives.
  <br/>
 </p>
 <strong>
  Qualifications
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in Data Science fundamentals, including machine learning, predictive modeling, and algorithm development
  </li>
  <li>
   Strong skills in Data Analysis, Data Analytics, and problem-solving using data-driven approaches
  </li>
  <li>
   Experience in creating Data Visualizations to present complex insights in an understandable manner
  </li>
  <li>
   Solid understanding of Statistics, including hypothesis testing and statistical modeling
  </li>
  <li>
   Familiarity with programming languages like Python or R and database tools is preferred
  </li>
  <li>
   Excellent analytical thinking and attention to detail
  </li>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field
  </li>
  <li>
   Prior experience in the fintech industry is a valuable asset
  </li>
 </ul>
</div>


TRB 360

<div>
 <p>
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  &Idot;stanbul / Ankara
 </p>
 <p>
  <strong>
   Work Model:
  </strong>
  Hybrid
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are supporting one of our client companies in their search for a Data Scientist.
 </p>
 <p>
  The selected candidate will contribute to the development of the company&rsquo;s next-generation AI and quantitative analytics infrastructure. You will work with large-scale financial, operational, and alternative datasets to build, evaluate, and optimize predictive models that enhance forecasting, trading analytics, and risk management.
 </p>
 <p>
  This role focuses on transforming complex, multi-source data into predictive systems that strengthen the company&rsquo;s analytical and trading performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Collect, preprocess, and structure large-scale financial, operational, and alternative datasets to support quantitative and AI modeling.
 </p>
 <p>
  &bull; Develop and test mathematical, statistical, and econometric models to identify patterns, anomalies, and predictive relationships in target markets.
 </p>
 <p>
  &bull; Conduct time-series analysis, feature engineering, and hypothesis testing to extract predictive insights.
 </p>
 <p>
  &bull; Support model training, validation, and versioning pipelines to ensure reproducibility and scalability.
 </p>
 <p>
  &bull; Collaborate with quantitative analysts and engineers to integrate data-driven models into production environments.
 </p>
 <p>
  &bull; Contribute to the continuous improvement of data quality, reliability, and performance metrics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Mathematics, Applied Mathematics, Statistics, Data Science, Computer Science, or a closely related discipline.
 </p>
 <p>
  &bull; Solid understanding of calculus, linear algebra, probability, statistics, optimization, numerical methods, and algorithmic reasoning.
 </p>
 <p>
  &bull; Minimum 2 years of experience in applied mathematical modeling or data analysis within scientific, engineering, or financial domains.
 </p>
 <p>
  &bull; Proficiency in Python (pandas, NumPy, scikit-learn, matplotlib) for data manipulation and model development.
 </p>
 <p>
  &bull; Experience with time-series data, regression models, and statistical hypothesis testing.
 </p>
 <p>
  &bull; Ability to build and manage data workflows in big data and cloud environments (e.g., Spark, AWS, GCP).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Experience with machine learning or deep learning for financial data applications.
 </p>
 <p>
  &bull; Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
 </p>
 <p>
  &bull; Relevant certifications such as CFA, FRM, or training in Quantitative Finance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
 </p>
 <p>
  &bull; Strong collaboration and coordination capabilities across cross-functional teams.
 </p>
 <p>
  &bull; Proactive, solution-oriented, and adaptable in fast-changing market environments.
 </p>
</div>


Data Scientist (Istanbul- Ankara)

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