Top Data Science Jobs to Apply this Weekend

Analytics Insight has selected the top data science jobs for applying this weekend.

Data Analyst at Connor

Location: Mumbai, Maharashtra

About the Job

Connor Consulting is offering an exciting position that provides competitive pay, excellent career growth opportunities, and Full-Time schedules.

Responsibilities

• Supporting the Program Manager when setting up the campaigns data universe.
• Capturing all data available from a variety of sources and crossing it in all variable ways to present valuable insights, analysis on customer profile, customer behavior, risk factors, etc.
• Partner with internal stakeholders to deploy impactful data analysis.
• Support the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards to drive key business decisions.
• Ensure data accuracy by calibrating and validating data for new and existing tools.
• Track down and collect information from various public websites to provide meaningful data integration to marketing campaigns, analysis, and statistical reports to be presented to clients and/or management team as a basis to make competitive business decisions.
• Develop data around leads generated using external data/information that will aid in improving sales conversion and fill the pipeline.
• Anticipate support to potential ad hoc analysis depending on the business needs.

Skills

• Strong attention to detail.
• Ability to track and meet deadlines and prioritize work.
• Have excellent interpersonal and communication skills (Professional proficiency in English).
• Strong team player.
• Customer-oriented and results-driven.
• Must be amenable to work a flexible schedule depending on business needs.
• Must be willing to be on a temporary WFM (work from home) setup.
• Ability to effectively manage multiple activities of varying complexity.

Apply here.

Data Analyst at Trantor

Location: Chennai, Tamil Nadu

Skills

• Proven working experience as a Data Analyst or Business Data Analyst with overall experience of min 8 to 10 years
• Bachelors/Master's degree in Engineering / Computer Science or equivalent
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques
• Strong knowledge of database languages such as SQL and ETL frameworks; spreadsheet tools such as Microsoft Excel; and data visualization software such as Tibco Spotfire
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing, and presenting findings

Apply here.

Data Analyst at Annalect India

Location: Bangalore, Karnataka

Responsibilities

• Data management and reporting using different tools and techniques like Alteryx, Datorama, SQL, R, Python, etc.
• Strong knowledge of media metrics, custom calculations, and metrics co-relation.
• Data visualization using tools like Tableau, Power BI, Data studio, etc.,
• Ability to identify and determine key performance indicators for the clients.
• QA process: Maintain, create and re-view QA plans for deliverables to align with the requirements, identify discrepancies if any, and troubleshoot issues.
• Responsible for maintaining the reporting requirements as per the delivery cadence defined by the client.
• Create and maintain project-specific documents such as process/quality/learning documents.
• Able to work successfully with teams, handling multiple projects, and meeting client expectations.

Skills

• 3 to 5 years experience in data management and analysis in Media or relevant domain with strong problem-solving ability.
• Good analytical ability and logical reasoning
• Experience in data processing tools like SQL, R, Python, Alteryx, Datorama, Advanced Excel, etc.
• Experience in data visualization tools like Tableau, Power BI, Qlikview, Google Data Studio, etc.
• Strong written and verbal communication
• Familiarity working with large data sets and creating cohesive stories

Apply here.

Data Science Intern at Sony Research India

Location: Bangalore, Karnataka

Responsibilities

Together with the head of data science & team of data scientists, the selected one will have to work on the research & development activities daily and contribute to reporting, coding, testing, and implementing relevant models. Also, some other responsibilities but not limited to will be scraping data from the public domain and researching the content recommendation for the OTT platforms.

Skills

• Python coding
• Statistics
• Strong SQL theoretical knowledge
• ML basics

Apply here.

Data Science Intern at Poshmark

Location: Chennai, Tamil Nadu

About the Job

Poshmark's Data Science team is looking for an intern who can work with our data scientists to deliver on some of the most challenging Data Science/ML initiatives.

Responsibilities

• Partner with other data scientists to deliver the ongoing data science initiative
• Build Machine Learning models to solve business problems
• Create readable and comprehensive documentation of your work
• Implement new algorithms or tweak existing algorithms based on research papers
• Work on POCs to establish the feasibility of solving problems the existing team has not yet worked on

Skills

• Persuing or just finished a degree in a relevant quantitative field such as Statistics, Math, Computer Science or Data Science
• Familiarity with Data Science and Machine Learning techniques and concepts (e.g. regression, classification, loss functions, evaluation metrics, ensembles, cross-validation)
• Hands-on knowledge of Python and data science / ML packages
• Familiarity with SQL – any hands-on experience is a big plus
• Familiarity with Spark or any other big data processing framework is a plus
• Good understanding of data structures and algorithms
• Strong understanding of Statistics, Linear Algebra and Calculus
• Ability to implement new algorithms from research papers
• Good written and verbal communication skills
• Willingness to learn new tools and techniques to get things done

Apply here.